About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: We are seeking a talented and motivated Software Engineer to join our Payments Products development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms. You will be tasked to quickly grasp and evaluate new ideas and technologies from both internal and external sources and match them appropriately with emerging technology and business opportunities, building a culture of innovation and a drive for excellence. Essential Functions: Innovative Development: Engage in the design, development, and implementation of innovative software solutions, using generative AI and modern integration patterns. Contribute to a culture of innovation by actively exploring and applying new ideas and technologies. AI Solution Engineering: Support the implementation, fine-tuning, evaluation, integration, and deployment of AI components within enterprise applications, with attention to model robustness and operational quality. Collaborative Engineering: Collaborate with cross-functional teams to develop and deliver complex projects that integrate emerging technologies with our existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and other Product Development teams to build comprehensive solutions. Continuous Learning: Engage in continuous learning and development, actively seeking opportunities to enhance your skills and knowledge. Collaborate with peers to share insights and drive team growth. API and Integration Development: Contribute to the design and development of APIs that enhance the integration of our Payment Product applications, platforms, and solutions. Engineering Excellence: Adhere to industry best practices in software development, emphasizing quality, security, performance, scalability, availability, and resilience. Contribute to the management and reduction of technical debt within projects. Automation and Best Practices: Implement best engineering practices and automate software development, testing, and deployment processes. Ensure the timely delivery and maintenance of multiple services, focusing on continuous improvement. The Skills You Bring: Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale Challenge the Status Quo: Comfort in pushing the boundaries, hacking beyond traditional solutions Language Expertise: Expertise in one or more general development languages such as Java, Python, NodeJS, C#, or C++ AI Builder: Experience building, evaluating, integrating, and deploying Generative AI or machine learning capabilities within modern services and web applications Builder: Experience building and deploying modern services and web applications with quality and scalability Learner: Constant drive to learn new technologies such as GenAI, Angular, React, Kubernetes, Docker, and MLOps Partnership: Experience collaborating with Product, Test, DevOps, and Agile/Scrum teams Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Bachelor's degree, OR 3+ years of relevant work experience. Expert-level skills in Java, Python, and/or NodeJS; skills in C++ and C# are a plus. Experience building Generative AI applications, conversational AI, RAG architectures, techniques, and libraries. Preferred Qualifications: Expertise in application security, SSDLC, and cryptography fundamentals. Self-driven and willing to work across technologies and languages. Understanding of NLP, including tokenization, word embeddings, and basic sequence models. Experience implementing and fine-tuning AI models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of model compression techniques and related trade-offs. Awareness of transfer learning concepts and practical applications. Ability to design, implement, and integrate AI components into larger systems. Familiarity with common robustness issues in AI systems. Familiarity with machine learning and deep learning basics, including neural network architectures and training procedures. Exposure to machine learning operations (MLOps) and best practices for deploying AI and machine learning models. Experience with data preprocessing, feature engineering, and model evaluation techniques. Proficiency in front-end web development technologies such as ReactJS, Angular, and NodeJS. Ability to work with large datasets and perform exploratory data analysis. Expertise in multi-threading, concurrency, and error handling. Knowledge of version control, CI/CD pipelines, and best practices for deployments. Working knowledge of distributed in-memory computing technologies such as Redis. Information for US Applicants For roles located in the US, the estimated salary range for this position is $86,500 to $158,100 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/25/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: We are seeking a talented and motivated Software Engineer to join our Payments Products development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms. You will be tasked to quickly grasp and evaluate new ideas and technologies from both internal and external sources and match them appropriately with emerging technology and business opportunities, building a culture of innovation and a drive for excellence. Essential Functions: Innovative Development: Engage in the design, development, and implementation of innovative software solutions, using generative AI and modern integration patterns. Contribute to a culture of innovation by actively exploring and applying new ideas and technologies. AI Solution Engineering: Support the implementation, fine-tuning, evaluation, integration, and deployment of AI components within enterprise applications, with attention to model robustness and operational quality. Collaborative Engineering: Collaborate with cross-functional teams to develop and deliver complex projects that integrate emerging technologies with our existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and other Product Development teams to build comprehensive solutions. Continuous Learning: Engage in continuous learning and development, actively seeking opportunities to enhance your skills and knowledge. Collaborate with peers to share insights and drive team growth. API and Integration Development: Contribute to the design and development of APIs that enhance the integration of our Payment Product applications, platforms, and solutions. Engineering Excellence: Adhere to industry best practices in software development, emphasizing quality, security, performance, scalability, availability, and resilience. Contribute to the management and reduction of technical debt within projects. Automation and Best Practices: Implement best engineering practices and automate software development, testing, and deployment processes. Ensure the timely delivery and maintenance of multiple services, focusing on continuous improvement. The Skills You Bring: Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale Challenge the Status Quo: Comfort in pushing the boundaries, hacking beyond traditional solutions Language Expertise: Expertise in one or more general development languages such as Java, Python, NodeJS, C#, or C++ AI Builder: Experience building, evaluating, integrating, and deploying Generative AI or machine learning capabilities within modern services and web applications Builder: Experience building and deploying modern services and web applications with quality and scalability Learner: Constant drive to learn new technologies such as GenAI, Angular, React, Kubernetes, Docker, and MLOps Partnership: Experience collaborating with Product, Test, DevOps, and Agile/Scrum teams Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Bachelor's degree, OR 3+ years of relevant work experience. Expert-level skills in Java, Python, and/or NodeJS; skills in C++ and C# are a plus. Experience building Generative AI applications, conversational AI, RAG architectures, techniques, and libraries. Preferred Qualifications: Expertise in application security, SSDLC, and cryptography fundamentals. Self-driven and willing to work across technologies and languages. Understanding of NLP, including tokenization, word embeddings, and basic sequence models. Experience implementing and fine-tuning AI models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of model compression techniques and related trade-offs. Awareness of transfer learning concepts and practical applications. Ability to design, implement, and integrate AI components into larger systems. Familiarity with common robustness issues in AI systems. Familiarity with machine learning and deep learning basics, including neural network architectures and training procedures. Exposure to machine learning operations (MLOps) and best practices for deploying AI and machine learning models. Experience with data preprocessing, feature engineering, and model evaluation techniques. Proficiency in front-end web development technologies such as ReactJS, Angular, and NodeJS. Ability to work with large datasets and perform exploratory data analysis. Expertise in multi-threading, concurrency, and error handling. Knowledge of version control, CI/CD pipelines, and best practices for deployments. Working knowledge of distributed in-memory computing technologies such as Redis. Information for US Applicants For roles located in the US, the estimated salary range for this position is $86,500 to $158,100 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Opportunity We are seeking a talented and motivated Senior Software Development Engineer to join our Payments Products Development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms. You will quickly grasp and evaluate new ideas and technologies from internal and external sources, then match them to emerging technology and business opportunities while helping build a culture of innovation and engineering excellence. Essential Functions: AI-Enabled Innovative Development: Design, develop, and implement innovative software solutions using generative AI, conversational AI, RAG, and modern integration patterns. Explore new technologies and translate relevant ideas into secure, scalable business solutions. AI System Engineering: Design and integrate AI components into larger platforms, including data preparation, model evaluation, deployment, monitoring, and continuous improvement. Address robustness, quality, security, and operational reliability throughout the lifecycle. Collaborative Engineering: Collaborate with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams. Continuous Learning: Actively expand knowledge of generative AI, machine learning, modern engineering practices, and emerging technologies. Share learning with peers and contribute to team growth. Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring Payment Product platforms deliver exceptional value and innovation. Use client feedback to refine and improve offerings. API and Integration Development: Contribute to the design and development of APIs that enhance integration across Payment Product applications, platforms, AI services, and solutions. Technology Modernization: Advance the modernization roadmap by adopting best-in-class technology solutions for core platforms, expanding market reach and client impact. Process Improvement: Continuously improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time to market, including responsible use of AI-assisted engineering tools. Engineering Excellence: Follow industry best practices in software development, emphasizing quality, security, performance, scalability, availability, resilience, and reduction of technical debt. Automation and Best Practices: Automate software development, testing, deployment, and maintenance processes. Use AI-generated outputs as accelerators while applying rigorous engineering review and verification. Incident and Change Management: Support incident, change, and problem management processes. Participate in root-cause analysis and troubleshooting to sustain high availability and service reliability. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Expert-level skills in Java, Python, and Node.js; experience with C++ or C# is a plus. Experience building Generative AI applications, conversational AI solutions, retrieval-augmented generation (RAG) architectures, and related techniques, tools, and libraries. Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Self-driven, adaptable, and willing to work across technologies and programming languages. Strong understanding of natural language processing concepts, including tokenization, word embeddings, and sequence models. Proficiency implementing and fine-tuning AI and machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of machine learning and deep learning fundamentals, including neural network architectures, training procedures, transfer learning, model compression, and associated trade-offs. Ability to design, implement, and integrate AI components into larger enterprise systems. Familiarity with common robustness, reliability, security, and responsible-use considerations in AI systems. Experience working with large datasets, exploratory data analysis, data preprocessing, feature engineering, and model evaluation techniques. Exposure to leading-edge areas such as machine learning, deep learning, stream computing, MLOps, and modern AI integration patterns. Proficiency in front-end web development technologies such as React, Angular, and Node.js. Experience configuring build and deployment systems such as Docker, Jenkins, and Kubernetes. Expertise in multithreading, concurrency, and error handling. Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing enterprise-scale components. Knowledge of version control, CI/CD pipelines, and best practices for application and ML model deployment. Working knowledge of distributed in-memory computing technologies such as Redis. Understanding of enterprise security, certificate management, and related practices. Hands-on experience with Jenkins and container deployment architecture. Experience with OAuth 2.0, SSO, and authentication methods or protocols. Expertise in application security, SSDLC, and cryptography fundamentals. Experience applying AI-assisted engineering practices while independently validating generated code, tests, documentation, and technical recommendations. Experience in the payments technology industry is a plus. The Skills You Bring: Energy and Experience: A growth mindset, curiosity about technology, and enthusiasm for challenging projects on a global scale. Challenge the Status Quo: Comfort pushing boundaries and exploring solutions beyond traditional approaches. Language Expertise: Expertise in one or more development languages such as Java, Python, Node.js, C#, or C++. AI Builder: Experience building and deploying Generative AI, conversational AI, RAG, machine learning, modern services, and web applications with quality and scalability. Critical AI Judgment: Ability to evaluate AI-generated code and recommendations, identify failure modes, and apply independent engineering judgment. Learner: A consistent drive to learn technologies such as GenAI, machine learning, Angular, React, Kubernetes, and Docker. Partnership: Experience collaborating with Product, Test, DevOps, Cybersecurity, and Agile/Scrum teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $112,100 to $204,000 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/25/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Opportunity We are seeking a talented and motivated Senior Software Development Engineer to join our Payments Products Development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms. You will quickly grasp and evaluate new ideas and technologies from internal and external sources, then match them to emerging technology and business opportunities while helping build a culture of innovation and engineering excellence. Essential Functions: AI-Enabled Innovative Development: Design, develop, and implement innovative software solutions using generative AI, conversational AI, RAG, and modern integration patterns. Explore new technologies and translate relevant ideas into secure, scalable business solutions. AI System Engineering: Design and integrate AI components into larger platforms, including data preparation, model evaluation, deployment, monitoring, and continuous improvement. Address robustness, quality, security, and operational reliability throughout the lifecycle. Collaborative Engineering: Collaborate with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams. Continuous Learning: Actively expand knowledge of generative AI, machine learning, modern engineering practices, and emerging technologies. Share learning with peers and contribute to team growth. Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring Payment Product platforms deliver exceptional value and innovation. Use client feedback to refine and improve offerings. API and Integration Development: Contribute to the design and development of APIs that enhance integration across Payment Product applications, platforms, AI services, and solutions. Technology Modernization: Advance the modernization roadmap by adopting best-in-class technology solutions for core platforms, expanding market reach and client impact. Process Improvement: Continuously improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time to market, including responsible use of AI-assisted engineering tools. Engineering Excellence: Follow industry best practices in software development, emphasizing quality, security, performance, scalability, availability, resilience, and reduction of technical debt. Automation and Best Practices: Automate software development, testing, deployment, and maintenance processes. Use AI-generated outputs as accelerators while applying rigorous engineering review and verification. Incident and Change Management: Support incident, change, and problem management processes. Participate in root-cause analysis and troubleshooting to sustain high availability and service reliability. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Expert-level skills in Java, Python, and Node.js; experience with C++ or C# is a plus. Experience building Generative AI applications, conversational AI solutions, retrieval-augmented generation (RAG) architectures, and related techniques, tools, and libraries. Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Self-driven, adaptable, and willing to work across technologies and programming languages. Strong understanding of natural language processing concepts, including tokenization, word embeddings, and sequence models. Proficiency implementing and fine-tuning AI and machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of machine learning and deep learning fundamentals, including neural network architectures, training procedures, transfer learning, model compression, and associated trade-offs. Ability to design, implement, and integrate AI components into larger enterprise systems. Familiarity with common robustness, reliability, security, and responsible-use considerations in AI systems. Experience working with large datasets, exploratory data analysis, data preprocessing, feature engineering, and model evaluation techniques. Exposure to leading-edge areas such as machine learning, deep learning, stream computing, MLOps, and modern AI integration patterns. Proficiency in front-end web development technologies such as React, Angular, and Node.js. Experience configuring build and deployment systems such as Docker, Jenkins, and Kubernetes. Expertise in multithreading, concurrency, and error handling. Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing enterprise-scale components. Knowledge of version control, CI/CD pipelines, and best practices for application and ML model deployment. Working knowledge of distributed in-memory computing technologies such as Redis. Understanding of enterprise security, certificate management, and related practices. Hands-on experience with Jenkins and container deployment architecture. Experience with OAuth 2.0, SSO, and authentication methods or protocols. Expertise in application security, SSDLC, and cryptography fundamentals. Experience applying AI-assisted engineering practices while independently validating generated code, tests, documentation, and technical recommendations. Experience in the payments technology industry is a plus. The Skills You Bring: Energy and Experience: A growth mindset, curiosity about technology, and enthusiasm for challenging projects on a global scale. Challenge the Status Quo: Comfort pushing boundaries and exploring solutions beyond traditional approaches. Language Expertise: Expertise in one or more development languages such as Java, Python, Node.js, C#, or C++. AI Builder: Experience building and deploying Generative AI, conversational AI, RAG, machine learning, modern services, and web applications with quality and scalability. Critical AI Judgment: Ability to evaluate AI-generated code and recommendations, identify failure modes, and apply independent engineering judgment. Learner: A consistent drive to learn technologies such as GenAI, machine learning, Angular, React, Kubernetes, and Docker. Partnership: Experience collaborating with Product, Test, DevOps, Cybersecurity, and Agile/Scrum teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $112,100 to $204,000 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details
09/25/2026
Full time
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details
09/25/2026
Full time
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details
09/25/2026
Full time
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details
Thales Defense & Security, Inc. (TDSI) Headquartered in Clarksburg, MD, is a U.S. company that has been serving domestic and international defense Air, Land and Sea domains for 60+ years. With over 1,000 employees, TDSI and its four subsidiaries (Advanced Acoustic Concepts, Digital Receiver Technology, Tampa Microwave, and Trusted Cyber Technologies), supports U.S. Joint Services, special operations forces and multi-national partners with a variety of communication, visualization, signal intelligence/electronic warfare, and sensor/sonar capabilities. TDSI's key technologies include tactical handheld radios, expeditionary satellite terminals, helmet-mounted displays, optics and target recognition capability, advanced radars, undersea sensing and missile systems. Lives depend on what we do! Top Benefits (Subject to terms of applicable policies/plans) Competitive Salary Yearly Incentive Compensation Plan Medical insurance for self and eligible family members Generous 401(k) program - up to 7% company contribution and 100% immediate vesting Tuition Reimbursement Paid wellness, vacation, and holiday leave Paid maternity, paternity, and parental leave 9/80 Work Schedule (every other Friday off) Hybrid working environment The Helmet Mounted Display (HMD) business unit of Thales Defense & Security, Inc. is a leading innovator in helmet mounted display technology. We have an opening for a Senior Program Manager (PM) in our Aurora, IL office to support development and production programs in the military market. This position will report to the Director of Program Management and requires close coordination with other departments including Engineering, Production, Quality Assurance, Finance, Business Development, and Contracts. Coordination with Thales Group offices in other countries may also be required to successfully execute joint programs. Responsibilities Management of multiple assigned programs ensuring compliance with all Thales program management processes and procedures, including development of program plans, task definitions, schedules, budgets, program technical requirements, resource requirements and risk management on all assigned programs. Provision of timely reporting to senior leadership with details on program status and performance. Conduct regular cross-functional meetings to review status towards objectives and identify issues early in the program. Responsible for customer communication and satisfaction, including follow-on business quotes and proposals. Management of technical and financial risks and ability to lead/conduct of technical reviews. As identified, responsible as capture lead for specific proposal efforts and supporting other proposal efforts with budget and schedule information. Responsible for ensuring coordination of activities with subcontractors, vendors and suppliers as necessary to support assigned programs. Responsible for ensuring effective Thales scope directions from the customer and suppliers are appropriately processed through the contract. Coordinate and foster proper communication between the customer and the program team. Qualifications The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. U.S. Citizenship required. - Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Bachelor's degree required, preferably in related technical field. Minimum 4-8 years as a Program Manager, including prior experience in a hands-on engineering role (software, electrical, mechanical, systems, etc.) Basic accounting and financial knowledge and profit-oriented business sense as well as effective negotiating skills. Excellent organizational skills and work ethic. Ability to work in a team environment and interact with employees in all departments and functions. Computer proficiency required and experience with Microsoft Project or equivalent. Excellent written and verbal communication skills with experience managing small teams, working effectively in a matrix team structure, setting business growth objectives and achieving results. Ability to travel up to 25% domestically and internationally. Preferred Qualifications US government/ DOD contracting experience/ understanding of required processes for reporting through major defense contractors highly preferred. Commercial Avionics Industry background. Experience working cross functionally along with a familiarity of full product lifecycle for complex systems. Experience with avionics modification programs for either fixed and/or rotary wing. EVMS experience. PMP certification. Conversational fluency in French or Korean The annualized pay range for this role is $137,844-$176,134 along with a target incentive compensation plan (ICP) of 10%. The pay range provided is a good faith estimate representative of the experience level for the role described above. TDSI considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. For specific questions about this job posting, candidates may contact the recruiter at . Thales Defense & Security, Inc. is committed to non-discrimination as applicable under federal, state and local laws. We are an E-Verify Employer. If you need an accommodation or assistance in order to apply for a position with Thales Defense & Security, Inc., please call Human Resources at .
09/25/2026
Full time
Thales Defense & Security, Inc. (TDSI) Headquartered in Clarksburg, MD, is a U.S. company that has been serving domestic and international defense Air, Land and Sea domains for 60+ years. With over 1,000 employees, TDSI and its four subsidiaries (Advanced Acoustic Concepts, Digital Receiver Technology, Tampa Microwave, and Trusted Cyber Technologies), supports U.S. Joint Services, special operations forces and multi-national partners with a variety of communication, visualization, signal intelligence/electronic warfare, and sensor/sonar capabilities. TDSI's key technologies include tactical handheld radios, expeditionary satellite terminals, helmet-mounted displays, optics and target recognition capability, advanced radars, undersea sensing and missile systems. Lives depend on what we do! Top Benefits (Subject to terms of applicable policies/plans) Competitive Salary Yearly Incentive Compensation Plan Medical insurance for self and eligible family members Generous 401(k) program - up to 7% company contribution and 100% immediate vesting Tuition Reimbursement Paid wellness, vacation, and holiday leave Paid maternity, paternity, and parental leave 9/80 Work Schedule (every other Friday off) Hybrid working environment The Helmet Mounted Display (HMD) business unit of Thales Defense & Security, Inc. is a leading innovator in helmet mounted display technology. We have an opening for a Senior Program Manager (PM) in our Aurora, IL office to support development and production programs in the military market. This position will report to the Director of Program Management and requires close coordination with other departments including Engineering, Production, Quality Assurance, Finance, Business Development, and Contracts. Coordination with Thales Group offices in other countries may also be required to successfully execute joint programs. Responsibilities Management of multiple assigned programs ensuring compliance with all Thales program management processes and procedures, including development of program plans, task definitions, schedules, budgets, program technical requirements, resource requirements and risk management on all assigned programs. Provision of timely reporting to senior leadership with details on program status and performance. Conduct regular cross-functional meetings to review status towards objectives and identify issues early in the program. Responsible for customer communication and satisfaction, including follow-on business quotes and proposals. Management of technical and financial risks and ability to lead/conduct of technical reviews. As identified, responsible as capture lead for specific proposal efforts and supporting other proposal efforts with budget and schedule information. Responsible for ensuring coordination of activities with subcontractors, vendors and suppliers as necessary to support assigned programs. Responsible for ensuring effective Thales scope directions from the customer and suppliers are appropriately processed through the contract. Coordinate and foster proper communication between the customer and the program team. Qualifications The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. U.S. Citizenship required. - Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Bachelor's degree required, preferably in related technical field. Minimum 4-8 years as a Program Manager, including prior experience in a hands-on engineering role (software, electrical, mechanical, systems, etc.) Basic accounting and financial knowledge and profit-oriented business sense as well as effective negotiating skills. Excellent organizational skills and work ethic. Ability to work in a team environment and interact with employees in all departments and functions. Computer proficiency required and experience with Microsoft Project or equivalent. Excellent written and verbal communication skills with experience managing small teams, working effectively in a matrix team structure, setting business growth objectives and achieving results. Ability to travel up to 25% domestically and internationally. Preferred Qualifications US government/ DOD contracting experience/ understanding of required processes for reporting through major defense contractors highly preferred. Commercial Avionics Industry background. Experience working cross functionally along with a familiarity of full product lifecycle for complex systems. Experience with avionics modification programs for either fixed and/or rotary wing. EVMS experience. PMP certification. Conversational fluency in French or Korean The annualized pay range for this role is $137,844-$176,134 along with a target incentive compensation plan (ICP) of 10%. The pay range provided is a good faith estimate representative of the experience level for the role described above. TDSI considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. For specific questions about this job posting, candidates may contact the recruiter at . Thales Defense & Security, Inc. is committed to non-discrimination as applicable under federal, state and local laws. We are an E-Verify Employer. If you need an accommodation or assistance in order to apply for a position with Thales Defense & Security, Inc., please call Human Resources at .
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The Executive Support Specialist delivers high-touch technology support for AHM and HDMA executives, including PCs, mobile devices, collaboration tools, video conferencing, and AV support for executive meetings. The role serves as a critical escalation point for Executive Support, Deskside, and Mobile Services, ensuring reliable operations and exceptional customer experience. Core responsibilities include driving technology improvements, coordinating issue resolution across IT teams, supporting executive environments, managing business and affiliate relationships, facilitating training and project transitions, developing knowledge resources, and serving as the primary liaison for assigned business areas. Key Accountabilities Support Executives at multiple locations iwith technical issues and drive to resolution Support Executive video conference meetings ensuring all parties are connected and functioning properly Escalate any issues to Network Support, A/V Support, and IS Management as needed Document all issues and resolutions within AHM IT approved systems Always driving issues / incidents to countermeasures to minimize client downtime and sustain client productivity Responsible for timely resolution within established Service Level Agreements (SLA) Achieve the project goals for the Executive Support Team as approved annually: including schedule, budget and quality commitments Provide inputs to QCD reporting for continues improvement Qualifications, Experience, and Skills Minimum educational qualifications and relevant work experience: A college level Bachelor's degree in IT / Networking / Computer Science / Electronics / Data Analytics or a related STEM field of study with at least 3 years of relevant IT industry experience. Candidates lacking a Bachelor's degree must have a High School Diploma and at least 9 years overall relevant IT indusry experience or an Associate degree in a related STEM field with at least 7 years of relevant IT industry experience. Certifications: A+ Certification (preferred) Other Job-specific Skills: Must have demostrable experience in audio-visual (AV) / video conference equipment troubleshooting and repair. Strong technical background supporting Active Directory, Windows operating systems, Apple devices (mobile phones and tablets), and video conferencing/ (audio-visual) AV technologies. Must be able to build strong relationships and trust with the most senior leaders of the organization. Should have good interpersonal soft skills for cross-cultural communication at executive level. Interact regularly with customers to understand their business/anticipate their IT requirements; manage business relationships Be comfortable under pressure, and able to effectively communicate technical instructions in a simple, easy to understand, way Display proven ability to communicate technical concepts clearly, manage business relationships, analyze KPIs and operational metrics, lead continuous improvement efforts, troubleshoot complex issues under pressure, and work effectively in a flexible, fast-paced environment with minimal supervision. Desirables: Conversational skills in Japanese. Familiarity with project management methodologies (Agile / Waterfall). Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. Other requirements: Should be able to work a flexible work schedule May have to work overtime and support corporate events Must possess a valid driving license and be able to operate a motor vehicle without requiring assistance. Candidate may have to drive to different Honda locations within the Greater Columbus and Toledo area, of Ohio on a need basis approx. 25% to 30% of the time. Annual travel requirements: 10% (combining domestic and int'l) Physical requirements: Should be able to lift up to 50lb and move approx. 50 ft, without requiring assistance. Climb a ladder, if required Relocation assistance Not eligible Visa sponsorship issues This position is not eligible for work visa sponsorship. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401(K) Plan with company match + additional contribution Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
09/25/2026
Full time
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The Executive Support Specialist delivers high-touch technology support for AHM and HDMA executives, including PCs, mobile devices, collaboration tools, video conferencing, and AV support for executive meetings. The role serves as a critical escalation point for Executive Support, Deskside, and Mobile Services, ensuring reliable operations and exceptional customer experience. Core responsibilities include driving technology improvements, coordinating issue resolution across IT teams, supporting executive environments, managing business and affiliate relationships, facilitating training and project transitions, developing knowledge resources, and serving as the primary liaison for assigned business areas. Key Accountabilities Support Executives at multiple locations iwith technical issues and drive to resolution Support Executive video conference meetings ensuring all parties are connected and functioning properly Escalate any issues to Network Support, A/V Support, and IS Management as needed Document all issues and resolutions within AHM IT approved systems Always driving issues / incidents to countermeasures to minimize client downtime and sustain client productivity Responsible for timely resolution within established Service Level Agreements (SLA) Achieve the project goals for the Executive Support Team as approved annually: including schedule, budget and quality commitments Provide inputs to QCD reporting for continues improvement Qualifications, Experience, and Skills Minimum educational qualifications and relevant work experience: A college level Bachelor's degree in IT / Networking / Computer Science / Electronics / Data Analytics or a related STEM field of study with at least 3 years of relevant IT industry experience. Candidates lacking a Bachelor's degree must have a High School Diploma and at least 9 years overall relevant IT indusry experience or an Associate degree in a related STEM field with at least 7 years of relevant IT industry experience. Certifications: A+ Certification (preferred) Other Job-specific Skills: Must have demostrable experience in audio-visual (AV) / video conference equipment troubleshooting and repair. Strong technical background supporting Active Directory, Windows operating systems, Apple devices (mobile phones and tablets), and video conferencing/ (audio-visual) AV technologies. Must be able to build strong relationships and trust with the most senior leaders of the organization. Should have good interpersonal soft skills for cross-cultural communication at executive level. Interact regularly with customers to understand their business/anticipate their IT requirements; manage business relationships Be comfortable under pressure, and able to effectively communicate technical instructions in a simple, easy to understand, way Display proven ability to communicate technical concepts clearly, manage business relationships, analyze KPIs and operational metrics, lead continuous improvement efforts, troubleshoot complex issues under pressure, and work effectively in a flexible, fast-paced environment with minimal supervision. Desirables: Conversational skills in Japanese. Familiarity with project management methodologies (Agile / Waterfall). Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. Other requirements: Should be able to work a flexible work schedule May have to work overtime and support corporate events Must possess a valid driving license and be able to operate a motor vehicle without requiring assistance. Candidate may have to drive to different Honda locations within the Greater Columbus and Toledo area, of Ohio on a need basis approx. 25% to 30% of the time. Annual travel requirements: 10% (combining domestic and int'l) Physical requirements: Should be able to lift up to 50lb and move approx. 50 ft, without requiring assistance. Climb a ladder, if required Relocation assistance Not eligible Visa sponsorship issues This position is not eligible for work visa sponsorship. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401(K) Plan with company match + additional contribution Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
Work Authorization Candidates must currently reside in the Pittsburgh area and be available for a hybrid schedule. This opportunity is for direct hire only and is not available for C2C, third-party submissions, or visa sponsorship Data Scientist We are seeking a versatile Data Scientist to join our team in Pittsburgh, PA. This is a direct hire position offering a hybrid work schedule for candidates who currently reside in the Pittsburgh area. This role is not open to C2C, visa sponsorship, or third parties. Role Overview In this role, you will design, build, and optimize data pipelines while also delivering advanced analytics, predictive modeling, and business insights. You will work across modern cloud platforms and leverage Microsoft Fabric to unify data engineering, analytics, and business intelligence efforts. Microsoft Fabric's integrated ecosystem supports OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream, Spark notebooks, and Power BI, making it well suited for this type of end-to-end analytics work. Key Responsibilities Design, develop, and maintain interactive dashboards and analytical solutions in Power BI, including Direct Lake semantic models, Copilot-enabled experiences, paginated reports, and executive scorecards. Power BI Copilot provides chat-based analysis and support for tasks such as DAX generation and on-the-fly analysis. Build KPI-driven dashboards for pricing analytics, POS sales trends, inventory optimization, supply chain performance, customer purchasing behavior, and branch/DC operational analytics. Enable self-service analytics through governed semantic models, curated datasets, and reusable reporting assets. Direct Lake semantic models are optimized for large data volumes in Fabric. Develop predictive and prescriptive models for dynamic pricing, sales forecasting, demand planning, customer segmentation, lost sales analysis, and inventory replenishment. Apply machine learning and AI techniques using Python, Spark notebooks, Fabric Data Science workloads, and Azure AI / OpenAI capabilities. Fabric supports Azure OpenAI and related AI services through integrated tooling. Support AI-driven initiatives such as Copilot-enabled analytics, conversational BI, sentiment analysis, speech-to-text analytics, and agentic AI use cases. Work extensively within the Microsoft Fabric ecosystem, including OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream / Real-Time Intelligence, Spark notebooks, semantic models, and Power BI. Support ingestion and transformation of enterprise data from Oracle, SQL Server, APIs, SaaS platforms, XML/JSON log files, and event streaming platforms. Partner with Pricing, Sales, Supply Chain, Operations, and IT teams to translate business needs into technical analytics solutions and present findings to leadership. Contribute to enterprise data modernization and cloud transformation initiatives. Required Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Engineering, Statistics, Mathematics, or a related field. 3-5 years of experience in Data Analytics, Business Intelligence, Data Science, or a related analytics role. Strong experience with Power BI, SQL, data modeling, and dashboard development. Experience with Microsoft Azure and Microsoft Fabric. Proficiency in Python for analytics and data manipulation. Experience working with large enterprise datasets. Preferred Qualifications Experience with Microsoft Fabric services such as Lakehouse, Spark, Data Factory, Real-Time Analytics, and semantic models. Familiarity with machine learning frameworks and core AI/ML concepts. Knowledge of pricing analytics, supply chain analytics, inventory optimization, and wholesale/distribution analytics. Experience with REST APIs, event streaming, Kafka/Event Hub, and XML/JSON data processing. Familiarity with cloud data warehouse modernization initiatives. Microsoft certifications in Azure, Power BI, Fabric, or Data Engineering are a plus. Technical Skills Required Preferred Required Preferred Power BI Microsoft Fabric SQL Azure Synapse Python Spark / PySpark Data Modeling Dataflows Gen2 DAX OneLake ETL/ELT Concepts Azure Data Factory Dashboard Development Azure Event Hub REST APIs AI/ML Tooling By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
09/24/2026
Full time
Work Authorization Candidates must currently reside in the Pittsburgh area and be available for a hybrid schedule. This opportunity is for direct hire only and is not available for C2C, third-party submissions, or visa sponsorship Data Scientist We are seeking a versatile Data Scientist to join our team in Pittsburgh, PA. This is a direct hire position offering a hybrid work schedule for candidates who currently reside in the Pittsburgh area. This role is not open to C2C, visa sponsorship, or third parties. Role Overview In this role, you will design, build, and optimize data pipelines while also delivering advanced analytics, predictive modeling, and business insights. You will work across modern cloud platforms and leverage Microsoft Fabric to unify data engineering, analytics, and business intelligence efforts. Microsoft Fabric's integrated ecosystem supports OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream, Spark notebooks, and Power BI, making it well suited for this type of end-to-end analytics work. Key Responsibilities Design, develop, and maintain interactive dashboards and analytical solutions in Power BI, including Direct Lake semantic models, Copilot-enabled experiences, paginated reports, and executive scorecards. Power BI Copilot provides chat-based analysis and support for tasks such as DAX generation and on-the-fly analysis. Build KPI-driven dashboards for pricing analytics, POS sales trends, inventory optimization, supply chain performance, customer purchasing behavior, and branch/DC operational analytics. Enable self-service analytics through governed semantic models, curated datasets, and reusable reporting assets. Direct Lake semantic models are optimized for large data volumes in Fabric. Develop predictive and prescriptive models for dynamic pricing, sales forecasting, demand planning, customer segmentation, lost sales analysis, and inventory replenishment. Apply machine learning and AI techniques using Python, Spark notebooks, Fabric Data Science workloads, and Azure AI / OpenAI capabilities. Fabric supports Azure OpenAI and related AI services through integrated tooling. Support AI-driven initiatives such as Copilot-enabled analytics, conversational BI, sentiment analysis, speech-to-text analytics, and agentic AI use cases. Work extensively within the Microsoft Fabric ecosystem, including OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream / Real-Time Intelligence, Spark notebooks, semantic models, and Power BI. Support ingestion and transformation of enterprise data from Oracle, SQL Server, APIs, SaaS platforms, XML/JSON log files, and event streaming platforms. Partner with Pricing, Sales, Supply Chain, Operations, and IT teams to translate business needs into technical analytics solutions and present findings to leadership. Contribute to enterprise data modernization and cloud transformation initiatives. Required Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Engineering, Statistics, Mathematics, or a related field. 3-5 years of experience in Data Analytics, Business Intelligence, Data Science, or a related analytics role. Strong experience with Power BI, SQL, data modeling, and dashboard development. Experience with Microsoft Azure and Microsoft Fabric. Proficiency in Python for analytics and data manipulation. Experience working with large enterprise datasets. Preferred Qualifications Experience with Microsoft Fabric services such as Lakehouse, Spark, Data Factory, Real-Time Analytics, and semantic models. Familiarity with machine learning frameworks and core AI/ML concepts. Knowledge of pricing analytics, supply chain analytics, inventory optimization, and wholesale/distribution analytics. Experience with REST APIs, event streaming, Kafka/Event Hub, and XML/JSON data processing. Familiarity with cloud data warehouse modernization initiatives. Microsoft certifications in Azure, Power BI, Fabric, or Data Engineering are a plus. Technical Skills Required Preferred Required Preferred Power BI Microsoft Fabric SQL Azure Synapse Python Spark / PySpark Data Modeling Dataflows Gen2 DAX OneLake ETL/ELT Concepts Azure Data Factory Dashboard Development Azure Event Hub REST APIs AI/ML Tooling By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
Senior Automation Testing Engineer Overview We are seeking a Senior Automation Testing Leader / Senior Automation Testing Engineer to own and build the quality engineering and test automation function for an AI-powered healthcare technology platform. In this role, quality directly impacts patient access to healthcare. A broken call flow can prevent a patient from reaching their physician, making quality assurance an important part of the overall patient experience. This is not a traditional manual QA position. The role is focused on test automation, framework design, automation strategy, scalable QA processes, AI-assisted testing techniques, and building a future QA organization. What You'll Do Automation Strategy & Leadership Own the overall quality engineering vision and automation strategy for an AI-powered voice platform. Design, build, and maintain scalable automated testing infrastructure from the ground up. Establish testing standards, best practices, and quality metrics across engineering teams. Recruit, mentor, and eventually lead future QA and automation testing team members. Help drive a culture of quality throughout the organization. Testing Architecture & Framework Development Design and implement automated testing frameworks covering unit testing, integration testing, end-to-end testing, regression testing, and load/performance testing. Build reusable test harnesses and tooling that enable engineers to efficiently create and execute tests. Develop simulation frameworks for real-time voice and conversational AI workflows. Create testing methodologies that can scale with rapid product growth. AI & Voice Platform Testing Build simulation and regression frameworks for conversational AI scenarios. Develop testing approaches for real-time voice interactions and telephony workflows. Leverage AI-assisted testing techniques to improve coverage and efficiency. Validate agent behaviors, routing logic, integrations, and patient call flows before production deployment. Platform & Integration Quality Partner with platform, provisioning, and integrations teams to ensure comprehensive coverage across system boundaries. Test APIs, backend services, event-driven systems, and third-party integrations. Own test environments and CI/CD integration for automated execution. Investigate production issues and lead root cause analysis efforts. Compliance & Reliability Develop testing approaches that support HIPAA and healthcare compliance requirements. Help ensure platform reliability, scalability, and quality standards are consistently maintained. Drive preventative quality initiatives that reduce production defects and customer-impacting issues. Required Qualifications 10+ years of experience in software quality engineering with a strong emphasis on automation. Proven track record designing and owning automation frameworks from the ground up. Expertise in automated testing architecture and test harness design. Strong experience building scalable QA processes and automation strategies. Experience leveraging AI-assisted testing methodologies. Proficiency with Python, TypeScript, or similar programming languages. Strong scripting, tooling, and automation development skills. Experience integrating automated testing into CI/CD pipelines. Hands-on experience with GitHub Actions, Jenkins, or similar tools. Deep understanding of unit testing, integration testing, end-to-end testing, regression testing, and performance testing. Experience testing APIs, backend services, and distributed/event-driven architectures. Strong debugging and analytical skills. Demonstrated ability to elevate quality standards across engineering organizations. Startup mentality with a willingness to build processes, frameworks, and teams from scratch. Ability to operate as both an individual contributor and future people leader. Preferred Qualifications Experience testing real-time systems. Experience with telephony platforms, call routing systems, or voice technologies. Experience testing conversational AI or AI-powered applications. Load and performance testing experience in high-throughput environments. HIPAA-regulated healthcare experience. Experience in compliance-heavy environments. Contract testing experience. Service virtualization experience. Previous experience building or leading QA organizations. Ideal Candidate Can design testing frameworks from the ground up. Can build and execute an automation-first quality strategy. Understands how to leverage AI to improve testing effectiveness and efficiency. Can create scalable quality processes that grow with the business. Can build sophisticated test harnesses and simulation environments. Thrives in a fast-paced startup-style environment. Operates as a strategic quality leader rather than a traditional manual tester. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details
09/24/2026
Full time
Senior Automation Testing Engineer Overview We are seeking a Senior Automation Testing Leader / Senior Automation Testing Engineer to own and build the quality engineering and test automation function for an AI-powered healthcare technology platform. In this role, quality directly impacts patient access to healthcare. A broken call flow can prevent a patient from reaching their physician, making quality assurance an important part of the overall patient experience. This is not a traditional manual QA position. The role is focused on test automation, framework design, automation strategy, scalable QA processes, AI-assisted testing techniques, and building a future QA organization. What You'll Do Automation Strategy & Leadership Own the overall quality engineering vision and automation strategy for an AI-powered voice platform. Design, build, and maintain scalable automated testing infrastructure from the ground up. Establish testing standards, best practices, and quality metrics across engineering teams. Recruit, mentor, and eventually lead future QA and automation testing team members. Help drive a culture of quality throughout the organization. Testing Architecture & Framework Development Design and implement automated testing frameworks covering unit testing, integration testing, end-to-end testing, regression testing, and load/performance testing. Build reusable test harnesses and tooling that enable engineers to efficiently create and execute tests. Develop simulation frameworks for real-time voice and conversational AI workflows. Create testing methodologies that can scale with rapid product growth. AI & Voice Platform Testing Build simulation and regression frameworks for conversational AI scenarios. Develop testing approaches for real-time voice interactions and telephony workflows. Leverage AI-assisted testing techniques to improve coverage and efficiency. Validate agent behaviors, routing logic, integrations, and patient call flows before production deployment. Platform & Integration Quality Partner with platform, provisioning, and integrations teams to ensure comprehensive coverage across system boundaries. Test APIs, backend services, event-driven systems, and third-party integrations. Own test environments and CI/CD integration for automated execution. Investigate production issues and lead root cause analysis efforts. Compliance & Reliability Develop testing approaches that support HIPAA and healthcare compliance requirements. Help ensure platform reliability, scalability, and quality standards are consistently maintained. Drive preventative quality initiatives that reduce production defects and customer-impacting issues. Required Qualifications 10+ years of experience in software quality engineering with a strong emphasis on automation. Proven track record designing and owning automation frameworks from the ground up. Expertise in automated testing architecture and test harness design. Strong experience building scalable QA processes and automation strategies. Experience leveraging AI-assisted testing methodologies. Proficiency with Python, TypeScript, or similar programming languages. Strong scripting, tooling, and automation development skills. Experience integrating automated testing into CI/CD pipelines. Hands-on experience with GitHub Actions, Jenkins, or similar tools. Deep understanding of unit testing, integration testing, end-to-end testing, regression testing, and performance testing. Experience testing APIs, backend services, and distributed/event-driven architectures. Strong debugging and analytical skills. Demonstrated ability to elevate quality standards across engineering organizations. Startup mentality with a willingness to build processes, frameworks, and teams from scratch. Ability to operate as both an individual contributor and future people leader. Preferred Qualifications Experience testing real-time systems. Experience with telephony platforms, call routing systems, or voice technologies. Experience testing conversational AI or AI-powered applications. Load and performance testing experience in high-throughput environments. HIPAA-regulated healthcare experience. Experience in compliance-heavy environments. Contract testing experience. Service virtualization experience. Previous experience building or leading QA organizations. Ideal Candidate Can design testing frameworks from the ground up. Can build and execute an automation-first quality strategy. Understands how to leverage AI to improve testing effectiveness and efficiency. Can create scalable quality processes that grow with the business. Can build sophisticated test harnesses and simulation environments. Thrives in a fast-paced startup-style environment. Operates as a strategic quality leader rather than a traditional manual tester. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description This Product Analyst will be a member of the Value-Added Services division and will be responsible for the continued product development and commercialization of the Visa Data Manager (VDM) products. VDM provides Visa clients access to a best-in-class data warehouse, business analytics, and reporting information related to client payment transactions and cardholder spending habits. The team is responsible for maintaining, enhancing, and developing new products and services that leverage data and automated communications, including the strategic Open Analytics initiative aimed at expanding data accessibility and client self-service capabilities. This role will contribute to developing the VDM product roadmap and priorities, working with technical partners to establish and groom business requirements and delivery schedules. This person will also work closely with regional product partners, sales teams, and key internal stakeholders across teams and functions. Responsibilities include: AI-Assisted Product Development: Leverage AI tools including Claude to accelerate the development of business requirements, working backwards documents, product specifications, and go-to-market materials. Product Priorities and Roadmap: Establish and communicate VDM product priorities and roadmap, including development of a roadmap to enable greater client self-service capabilities within the platform. AI Conversationalist Development: Partner with VDM data engineering teams to support the development and delivery of the AI Conversationalist, a natural language query capability that enables clients to access and explore their portfolio data through conversational interactions. Product User Acceptance: Perform UAT testing on newly released functionality. Operational Excellence: Coordinate cross-functional groups within Visa, including Implementations and Support, to ensure timely management of issues, operational excellence, and accurate reporting data. Client Implementation Support: Partner with implementation teams to onboard new clients to VDM, ensuring a smooth and efficient setup experience and driving time to value. Client Onboarding and Enablement: Develop and maintain user onboarding materials and processes that help clients quickly adopt and maximize the value of the VDM platform. Go-To-Market Activities: Contribute to the development of go-to-market materials for new functionality and new product launches, including sales overview presentations and materials used in client-facing meetings. Sales Support: Provide product expertise and analytical support during client sales conversations, helping to articulate the value of VDM and the Open Analytics strategy to prospective and existing clients. Client Activities: Provide analytical insight and assist clients with the execution of their reporting utilizing the VDM tool. Customer Service Liaison: Serve as the primary product liaison with customer service teams on data-related client questions, ensuring issues are resolved accurately and efficiently. Reporting: Create and maintain product performance reporting and statistics including global and performance dashboards, end-user engagement metrics, feature usage dashboards, KPIs, and OKRs. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Visa will accept applications for this role until at least August 24, 2026. Qualifications Basic Qualifications: 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) At least 5 years of experience in product management, product analytics, or a related field within financial services, fintech, or payments. Bachelor's degree in Business Administration, Marketing, Finance, Computer Science, Information Systems, Data Science, or a related field. Advanced degree a plus. Experience working with data and analytics platforms, business intelligence tools, or data warehousing solutions. Familiarity with Agile development methodologies and experience grooming and managing product backlogs. Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights and client-facing narratives. Demonstrated ability to work cross-functionally across engineering, sales, and client-facing teams. Experience supporting or leading client implementations, onboarding, or go-to-market activities. Strong written and verbal communication skills with the ability to develop compelling product materials and present to internal and external stakeholders. Exposure to AI, machine learning, or natural language processing concepts is a plus, particularly as they relate to data accessibility and client self-service. Information for US Applicants For roles located in the US, the estimated salary range for this position is $104,600.00 to $ 162,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description This Product Analyst will be a member of the Value-Added Services division and will be responsible for the continued product development and commercialization of the Visa Data Manager (VDM) products. VDM provides Visa clients access to a best-in-class data warehouse, business analytics, and reporting information related to client payment transactions and cardholder spending habits. The team is responsible for maintaining, enhancing, and developing new products and services that leverage data and automated communications, including the strategic Open Analytics initiative aimed at expanding data accessibility and client self-service capabilities. This role will contribute to developing the VDM product roadmap and priorities, working with technical partners to establish and groom business requirements and delivery schedules. This person will also work closely with regional product partners, sales teams, and key internal stakeholders across teams and functions. Responsibilities include: AI-Assisted Product Development: Leverage AI tools including Claude to accelerate the development of business requirements, working backwards documents, product specifications, and go-to-market materials. Product Priorities and Roadmap: Establish and communicate VDM product priorities and roadmap, including development of a roadmap to enable greater client self-service capabilities within the platform. AI Conversationalist Development: Partner with VDM data engineering teams to support the development and delivery of the AI Conversationalist, a natural language query capability that enables clients to access and explore their portfolio data through conversational interactions. Product User Acceptance: Perform UAT testing on newly released functionality. Operational Excellence: Coordinate cross-functional groups within Visa, including Implementations and Support, to ensure timely management of issues, operational excellence, and accurate reporting data. Client Implementation Support: Partner with implementation teams to onboard new clients to VDM, ensuring a smooth and efficient setup experience and driving time to value. Client Onboarding and Enablement: Develop and maintain user onboarding materials and processes that help clients quickly adopt and maximize the value of the VDM platform. Go-To-Market Activities: Contribute to the development of go-to-market materials for new functionality and new product launches, including sales overview presentations and materials used in client-facing meetings. Sales Support: Provide product expertise and analytical support during client sales conversations, helping to articulate the value of VDM and the Open Analytics strategy to prospective and existing clients. Client Activities: Provide analytical insight and assist clients with the execution of their reporting utilizing the VDM tool. Customer Service Liaison: Serve as the primary product liaison with customer service teams on data-related client questions, ensuring issues are resolved accurately and efficiently. Reporting: Create and maintain product performance reporting and statistics including global and performance dashboards, end-user engagement metrics, feature usage dashboards, KPIs, and OKRs. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Visa will accept applications for this role until at least August 24, 2026. Qualifications Basic Qualifications: 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) At least 5 years of experience in product management, product analytics, or a related field within financial services, fintech, or payments. Bachelor's degree in Business Administration, Marketing, Finance, Computer Science, Information Systems, Data Science, or a related field. Advanced degree a plus. Experience working with data and analytics platforms, business intelligence tools, or data warehousing solutions. Familiarity with Agile development methodologies and experience grooming and managing product backlogs. Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights and client-facing narratives. Demonstrated ability to work cross-functionally across engineering, sales, and client-facing teams. Experience supporting or leading client implementations, onboarding, or go-to-market activities. Strong written and verbal communication skills with the ability to develop compelling product materials and present to internal and external stakeholders. Exposure to AI, machine learning, or natural language processing concepts is a plus, particularly as they relate to data accessibility and client self-service. Information for US Applicants For roles located in the US, the estimated salary range for this position is $104,600.00 to $ 162,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Shape the Future of Enterprise AI at Scale We are looking for a seasoned Software Architect (Sr. Consultant title at Visa) to join our Corporate Generative AI Technologies team. In this role, you will help architect, build, and scale enterprise-grade Generative AI and agentic applications. This is a senior, hands-on engineering role for someone who brings strong system design judgment, full-stack product engineering depth, and the ability to translate complex business workflows into scalable, reliable AI-enabled automation solutions. You will work on platforms and applications that use AI-native application patterns, including large language models, agentic workflows, retrieval-augmented generation, tool orchestration, API integrations, ETL pipelines, and data systems to transform business processes into intelligent, reliable, and scalable workflows. You will help solve hard engineering problems such as decomposing complex workflows into reusable agents, designing secure human-in-the-loop systems, and building production-grade GenAI applications that can be monitored, evaluated, governed, and continuously improved. As a Senior Consultant (Staff Software Architect), you will operate with a high degree of autonomy, ownership, and technical judgment while collaborating closely with your manager and the broader engineering team to align on technical direction. You will be responsible for building high-quality software while also influencing system design decisions, architectural direction, engineering standards, and best practices across the team. Key Responsibilities Design, build, and scale enterprise-grade GenAI and agentic applications, with a strong focus on maintainable, secure, scalable, reliable, and production-ready architecture. Own architecture and delivery of major GenAI subsystems; lead design reviews; mentor I4/I5 engineers; define reusable patterns and production standards. Apply strong system design judgment to build full-stack, production-grade applications with robust API design, workflow orchestration, secure data flows, observability, and operational readiness. Build modern frontend experiences using React and established frontend patterns, including component-based architecture, state management, reusable UI components, accessibility, performance optimization, and seamless integration with backend APIs and AI-enabled services. Design and implement scalable backend services using Python, Node.js, and/or Java, including secure APIs, asynchronous processing, background jobs, authentication, authorization, logging, error handling, and system resiliency. Work with databases like PostgreSQL, Redis, vector databases, and related technologies, including schema design, indexing strategies, query optimization, transaction management, caching patterns, migrations, and data access patterns. Implement backend capabilities for AI-enabled and agentic workflow automation, including intent routing, agent orchestration, tool execution, API integrations, data retrieval, multi-step execution, workflow state management, human approval flows, guardrails, auditability, and enterprise system integration. Develop AI-native capabilities using OpenAI, Anthropic, and related LLM APIs/SDKs, including prompt orchestration, tool/function calling, structured outputs, streaming responses, model routing, and evaluation patterns. Apply deep knowledge of modern LLM capabilities to make informed engineering decisions around model selection, context management, latency, cost, reliability, output quality, safety, and user experience. Design and implement retrieval-augmented generation solutions, including ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and retrieval quality evaluation. Build and deploy cloud-native applications using containers, DevOps practices, CI/CD pipelines, automated testing, monitoring, and operational automation. Work closely with engineering teammates and cross-functional partners to align with team priorities, translate ambiguous requirements into proof-of-concepts, then evolve them into production-quality solutions through shared ownership and hands-on collaboration. Implement observability and operational excellence for GenAI applications, including end-to-end tracing, workflow telemetry, model evaluation, and monitoring to ensure secure, reliable, and production-ready AI systems. Technical Skills: Languages & Frameworks: Python, FastAPI, LangGraph Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes, ECS DevOps: Git, CI/CD pipelines Anthropic / OpenAI SDKs, MCP, A2A Databases & Storage: Pinecone, Redis, PostgreSQL Monitoring & Governance: Prometheus, Grafana, audit logging, access control Frontend: ReactJS, HTML, CSS, JavaScript Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. At least 8 years of experience designing, building, and operating complex distributed software systems in production environments. Strong background in software architecture, distributed systems, API design, cloud-native platforms, and data-intensive applications. Experience with cloud platforms, containerized environments, CI/CD systems, and observability tooling. Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages. Strong communication skills with the ability to translate complex technical concepts to business stakeholders Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Experience building AI-enabled, data-driven, workflow automation, search, conversational, or machine learning-powered applications is highly valued. Direct experience with Generative AI technologies, LLMs, RAG architectures, or agentic systems is preferred but not required for candidates with exceptional software architecture and distributed systems experience. Experience driving technical strategy and influencing architectural direction across organizations. Expertise in system design tradeoffs involving scalability, security, reliability, performance, cost, and developer productivity. Deep understanding of modern LLM ecosystems, agent frameworks, retrieval architectures, and enterprise AI deployment patterns. Familiarity with modern AI architectures including agentic workflows, memory systems, tool orchestration, MCP, and A2A frameworks Proven ability to lead cross-functional AI initiatives, including PoC development, stakeholder alignment, and enterprise rollout. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Shape the Future of Enterprise AI at Scale We are looking for a seasoned Software Architect (Sr. Consultant title at Visa) to join our Corporate Generative AI Technologies team. In this role, you will help architect, build, and scale enterprise-grade Generative AI and agentic applications. This is a senior, hands-on engineering role for someone who brings strong system design judgment, full-stack product engineering depth, and the ability to translate complex business workflows into scalable, reliable AI-enabled automation solutions. You will work on platforms and applications that use AI-native application patterns, including large language models, agentic workflows, retrieval-augmented generation, tool orchestration, API integrations, ETL pipelines, and data systems to transform business processes into intelligent, reliable, and scalable workflows. You will help solve hard engineering problems such as decomposing complex workflows into reusable agents, designing secure human-in-the-loop systems, and building production-grade GenAI applications that can be monitored, evaluated, governed, and continuously improved. As a Senior Consultant (Staff Software Architect), you will operate with a high degree of autonomy, ownership, and technical judgment while collaborating closely with your manager and the broader engineering team to align on technical direction. You will be responsible for building high-quality software while also influencing system design decisions, architectural direction, engineering standards, and best practices across the team. Key Responsibilities Design, build, and scale enterprise-grade GenAI and agentic applications, with a strong focus on maintainable, secure, scalable, reliable, and production-ready architecture. Own architecture and delivery of major GenAI subsystems; lead design reviews; mentor I4/I5 engineers; define reusable patterns and production standards. Apply strong system design judgment to build full-stack, production-grade applications with robust API design, workflow orchestration, secure data flows, observability, and operational readiness. Build modern frontend experiences using React and established frontend patterns, including component-based architecture, state management, reusable UI components, accessibility, performance optimization, and seamless integration with backend APIs and AI-enabled services. Design and implement scalable backend services using Python, Node.js, and/or Java, including secure APIs, asynchronous processing, background jobs, authentication, authorization, logging, error handling, and system resiliency. Work with databases like PostgreSQL, Redis, vector databases, and related technologies, including schema design, indexing strategies, query optimization, transaction management, caching patterns, migrations, and data access patterns. Implement backend capabilities for AI-enabled and agentic workflow automation, including intent routing, agent orchestration, tool execution, API integrations, data retrieval, multi-step execution, workflow state management, human approval flows, guardrails, auditability, and enterprise system integration. Develop AI-native capabilities using OpenAI, Anthropic, and related LLM APIs/SDKs, including prompt orchestration, tool/function calling, structured outputs, streaming responses, model routing, and evaluation patterns. Apply deep knowledge of modern LLM capabilities to make informed engineering decisions around model selection, context management, latency, cost, reliability, output quality, safety, and user experience. Design and implement retrieval-augmented generation solutions, including ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and retrieval quality evaluation. Build and deploy cloud-native applications using containers, DevOps practices, CI/CD pipelines, automated testing, monitoring, and operational automation. Work closely with engineering teammates and cross-functional partners to align with team priorities, translate ambiguous requirements into proof-of-concepts, then evolve them into production-quality solutions through shared ownership and hands-on collaboration. Implement observability and operational excellence for GenAI applications, including end-to-end tracing, workflow telemetry, model evaluation, and monitoring to ensure secure, reliable, and production-ready AI systems. Technical Skills: Languages & Frameworks: Python, FastAPI, LangGraph Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes, ECS DevOps: Git, CI/CD pipelines Anthropic / OpenAI SDKs, MCP, A2A Databases & Storage: Pinecone, Redis, PostgreSQL Monitoring & Governance: Prometheus, Grafana, audit logging, access control Frontend: ReactJS, HTML, CSS, JavaScript Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. At least 8 years of experience designing, building, and operating complex distributed software systems in production environments. Strong background in software architecture, distributed systems, API design, cloud-native platforms, and data-intensive applications. Experience with cloud platforms, containerized environments, CI/CD systems, and observability tooling. Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages. Strong communication skills with the ability to translate complex technical concepts to business stakeholders Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Experience building AI-enabled, data-driven, workflow automation, search, conversational, or machine learning-powered applications is highly valued. Direct experience with Generative AI technologies, LLMs, RAG architectures, or agentic systems is preferred but not required for candidates with exceptional software architecture and distributed systems experience. Experience driving technical strategy and influencing architectural direction across organizations. Expertise in system design tradeoffs involving scalability, security, reliability, performance, cost, and developer productivity. Deep understanding of modern LLM ecosystems, agent frameworks, retrieval architectures, and enterprise AI deployment patterns. Familiarity with modern AI architectures including agentic workflows, memory systems, tool orchestration, MCP, and A2A frameworks Proven ability to lead cross-functional AI initiatives, including PoC development, stakeholder alignment, and enterprise rollout. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Visa will accept applications for this role until at least 09-30-2026 Job Description We are seeking a highly skilled AI developer with deep expertise in Agentic and Generative AI to drive the next wave of intelligent automation and digital transformation. In this role, you will be at the forefront of designing, implementing, and optimizing AI-powered solutions integrated into the ServiceNow platform. Your primary focus will be on leveraging artificial intelligence, including custom MCP tooling, Agentic scoped applications, and third-party Large Language Models-to enhance workflows, automate complex processes, and deliver innovative business outcomes. You will architect and build custom AI solutions and ensure seamless user experiences through intelligent automation. As a thought leader in AI, you will collaborate with stakeholders to identify opportunities for AI adoption, experiment with emerging technologies, and contribute to Visa's enterprise AI strategy. In addition to your AI responsibilities, you will develop and configure integrations between ServiceNow and other enterprise applications, manage the full lifecycle of these integrations (from API development and scripting to framework deployment), and ensure robust, secure, and scalable connections. Roles and responsibilities: Designing, developing, and optimizing AI-powered solutions (built within the ServiceNow platform and/or integrated through external custom solutions), including the creation of custom MCP tooling and Agentic solutions. Leveraging AI solutions to integrate and orchestrate third-party Large Language Models (LLMs) such as OpenAI, Google Gemini, etc, driving intelligent automation and enhanced user experiences. Collaborating with stakeholders to identify opportunities for AI adoption, experiment with emerging technologies, and deliver innovative, AI-driven business outcomes. Troubleshooting and resolving issues with ServiceNow configurations and AI components, ensuring seamless operation and reliability. Identifying requirement gaps to ensure high-quality solutions and providing configuration options with clear pros and cons. Designing and implementing intuitive, user-friendly software that enables customer-led customization and flexibility. Collaborating with internal customers and business analysts to clarify requirements and architect effective, AI-driven solutions. Authoring comprehensive technical design and build documentation for all facets of the technical infrastructure. Conducting research and analysis of existing systems to provide accurate time estimates and recommendations to project managers. Actively participating in project meetings and daily scrums to communicate development status, progress, and technical insights. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Visa will accept applications for this role until at least September 30, 2026. Qualifications Basic Qualifications 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications Proven ability to deliver projects on time and within budget by writing high-quality code, mentoring junior developers, understanding workload and usage requirements, and producing clear technical documentation that enables knowledge transfer and long-term supportability across global teams. Experience designing robust, scalable, and moderately complex architectural solutions that integrate across a broader technical ecosystem, while effectively operating as a collaborative member of a globally distributed team across diverse time zones and cultures. Minimum of 2 years of relevant professional experience including hands-on work with AI-powered solutions, with a bachelor's degree; or at least 2 years of relevant experience with an Advanced Degree (e.g., Master's, MBA, JD, MD). In-depth knowledge of APIs, web services, and standard relational database concepts. Proven experience with JavaScript, AJAX, JSON, CSS, REST, SOAP, and HTML. Strong Python skills and hands-on experience building RESTful or GraphQL APIs. Demonstrated experience building GenAI solutions, agents, or conversational applications, exhibiting the ability to differentiate reasoning approaches like ReAct and Chain-of-Thought (CoT). Demonstrate ability to design and architect Agentic Systems, applying various agent architectures (symbolic, BDI, LLM-based) to design intelligent agents tailored for specific tasks and environments. Implement Core Agent Capabilities. Develop agents that can perceive, reason, plan, act, and learn, utilizing Python and relevant AI libraries and frameworks. Analyze and Evaluate Agent Behavior. Critically assess agent performance, understand the complexities of multi-agent systems and human-agent interaction, and identify risks. Navigate Ethical Landscapes. Identify, analyze, and address the ethical challenges and safety considerations inherent in developing and deploying autonomous AI systems, applying principles of responsible AI. Apply Agentic AI to Solve Problems. Conceptualize and build functional AI agents for practical applications, demonstrating the ability to integrate diverse concepts into cohesive business solutions. Deep understanding of prompt engineering concepts, LLM fine-tuning, and retrieval-augmented generation (RAG). Familiarity with MCP servers or comparable model-serving/hosting platforms. Excellent problem-solving skills, strong communication, and a collaborative attitude. Strong analytical skills with the ability to extensively analyze and improve business processes and workflows. Demonstrated expertise in designing, implementing, and optimizing AI-driven functionalities integrated with ServiceNow, such as custom Agentic AI skills, GenAI integrations, and intelligent automation. Strong technical background in ServiceNow-specific development tools and frameworks (UI Policies, UI Macros, UI Pages, Client Scripts, Script Includes, Business Rules, Mid Server Configuration & Architecture, Import Sets, Transform Maps, Update Sets). Strong knowledge of the CMDB, data modeling, data strategies, and integrations. Knowledge of ServiceNow ITSM/ITOM product portfolio including Change Management, Discovery, and Service Mapping. Relevant certifications such as Certified ServiceNow Admin (CSA), Certified Implementation Specialist (CIS), or Certified Application Developer (CAD) are highly desirable. Information for US Applicants For roles located in the US, the estimated salary range for this position is $124,300.00 to $ 198,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Visa will accept applications for this role until at least 09-30-2026 Job Description We are seeking a highly skilled AI developer with deep expertise in Agentic and Generative AI to drive the next wave of intelligent automation and digital transformation. In this role, you will be at the forefront of designing, implementing, and optimizing AI-powered solutions integrated into the ServiceNow platform. Your primary focus will be on leveraging artificial intelligence, including custom MCP tooling, Agentic scoped applications, and third-party Large Language Models-to enhance workflows, automate complex processes, and deliver innovative business outcomes. You will architect and build custom AI solutions and ensure seamless user experiences through intelligent automation. As a thought leader in AI, you will collaborate with stakeholders to identify opportunities for AI adoption, experiment with emerging technologies, and contribute to Visa's enterprise AI strategy. In addition to your AI responsibilities, you will develop and configure integrations between ServiceNow and other enterprise applications, manage the full lifecycle of these integrations (from API development and scripting to framework deployment), and ensure robust, secure, and scalable connections. Roles and responsibilities: Designing, developing, and optimizing AI-powered solutions (built within the ServiceNow platform and/or integrated through external custom solutions), including the creation of custom MCP tooling and Agentic solutions. Leveraging AI solutions to integrate and orchestrate third-party Large Language Models (LLMs) such as OpenAI, Google Gemini, etc, driving intelligent automation and enhanced user experiences. Collaborating with stakeholders to identify opportunities for AI adoption, experiment with emerging technologies, and deliver innovative, AI-driven business outcomes. Troubleshooting and resolving issues with ServiceNow configurations and AI components, ensuring seamless operation and reliability. Identifying requirement gaps to ensure high-quality solutions and providing configuration options with clear pros and cons. Designing and implementing intuitive, user-friendly software that enables customer-led customization and flexibility. Collaborating with internal customers and business analysts to clarify requirements and architect effective, AI-driven solutions. Authoring comprehensive technical design and build documentation for all facets of the technical infrastructure. Conducting research and analysis of existing systems to provide accurate time estimates and recommendations to project managers. Actively participating in project meetings and daily scrums to communicate development status, progress, and technical insights. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Visa will accept applications for this role until at least September 30, 2026. Qualifications Basic Qualifications 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications Proven ability to deliver projects on time and within budget by writing high-quality code, mentoring junior developers, understanding workload and usage requirements, and producing clear technical documentation that enables knowledge transfer and long-term supportability across global teams. Experience designing robust, scalable, and moderately complex architectural solutions that integrate across a broader technical ecosystem, while effectively operating as a collaborative member of a globally distributed team across diverse time zones and cultures. Minimum of 2 years of relevant professional experience including hands-on work with AI-powered solutions, with a bachelor's degree; or at least 2 years of relevant experience with an Advanced Degree (e.g., Master's, MBA, JD, MD). In-depth knowledge of APIs, web services, and standard relational database concepts. Proven experience with JavaScript, AJAX, JSON, CSS, REST, SOAP, and HTML. Strong Python skills and hands-on experience building RESTful or GraphQL APIs. Demonstrated experience building GenAI solutions, agents, or conversational applications, exhibiting the ability to differentiate reasoning approaches like ReAct and Chain-of-Thought (CoT). Demonstrate ability to design and architect Agentic Systems, applying various agent architectures (symbolic, BDI, LLM-based) to design intelligent agents tailored for specific tasks and environments. Implement Core Agent Capabilities. Develop agents that can perceive, reason, plan, act, and learn, utilizing Python and relevant AI libraries and frameworks. Analyze and Evaluate Agent Behavior. Critically assess agent performance, understand the complexities of multi-agent systems and human-agent interaction, and identify risks. Navigate Ethical Landscapes. Identify, analyze, and address the ethical challenges and safety considerations inherent in developing and deploying autonomous AI systems, applying principles of responsible AI. Apply Agentic AI to Solve Problems. Conceptualize and build functional AI agents for practical applications, demonstrating the ability to integrate diverse concepts into cohesive business solutions. Deep understanding of prompt engineering concepts, LLM fine-tuning, and retrieval-augmented generation (RAG). Familiarity with MCP servers or comparable model-serving/hosting platforms. Excellent problem-solving skills, strong communication, and a collaborative attitude. Strong analytical skills with the ability to extensively analyze and improve business processes and workflows. Demonstrated expertise in designing, implementing, and optimizing AI-driven functionalities integrated with ServiceNow, such as custom Agentic AI skills, GenAI integrations, and intelligent automation. Strong technical background in ServiceNow-specific development tools and frameworks (UI Policies, UI Macros, UI Pages, Client Scripts, Script Includes, Business Rules, Mid Server Configuration & Architecture, Import Sets, Transform Maps, Update Sets). Strong knowledge of the CMDB, data modeling, data strategies, and integrations. Knowledge of ServiceNow ITSM/ITOM product portfolio including Change Management, Discovery, and Service Mapping. Relevant certifications such as Certified ServiceNow Admin (CSA), Certified Implementation Specialist (CIS), or Certified Application Developer (CAD) are highly desirable. Information for US Applicants For roles located in the US, the estimated salary range for this position is $124,300.00 to $ 198,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
AI Engineer 3 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $161,800 - $184,600 for AI Engineer 3 McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/23/2026
Full time
AI Engineer 3 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $161,800 - $184,600 for AI Engineer 3 McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 3 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $161,800 - $184,600 for AI Engineer 3 McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/23/2026
Full time
AI Engineer 3 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $161,800 - $184,600 for AI Engineer 3 McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
