McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
11/14/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Genesis10 is currently seeking a Senior AI Agentic Senior Technical Engineer for a 3+ month contract to hire opportunity with a Regional Financial Institution located in Columbus, OH; Akron, OH; Cleveland, OH; Cincinnati, OH; Minneapolis, MN; Dallas, TX; Detroit, MI; Ch Compensation: $107.00 - $117.00 per hour, W2, based on qualifications Position Overview: This role is responsible for building AI agents, developing API integrations, and implementing Pub/Sub messaging solutions. The ideal candidate understands the full agentic AI development lifecycle and has experience designing and developing AI solutions. Initially, the role focuses on building AI capabilities for the Commercial Services Loan Operations team, with the expectation that these solutions will eventually scale across the enterprise. This is a hands-on development role that involves close collaboration with cross-functional teams and ownership of projects to ensure continuity and successful delivery. Key Responsibilities: Design and implement production agent workflows using reference patterns: single-agent, supervised multi-agent, and tool-using agents Build tool integrations to enterprise services and banking systems (APIs, data products, document services) with strong error handling and audit logging Engineer RAG pipelines and retrieval behavior (chunking, embedding selection, re-ranking, context assembly) Implement agent memory and state management patterns that are compliant and operationally safe Create and maintain evaluation harnesses and regression suites for non-deterministic outputs Implement required guardrails (prompt injection defenses, tool restrictions, output filtering) and pass pre-deployment security gates Instrument agents for observability: decision traces, tool-call telemetry, retrieval diagnostics, token/cost metrics, and quality signals Ship via CI/CD with production readiness: feature flags, rollbacks, versioning, and runbooks Lead design and code reviews for agent components and mentor other engineers Debug complex failure modes and implement mitigations Primary Requirements: 7+ years in software engineering with 2+ years building LLM-enabled applications or agent systems in production Hands-on experience with at least one frontier model platform (Claude, GPT-4+, Gemini) including tool use and multi-turn workflow design Experience developing and integrating APIs Experience with end-to-end testing of agentic AI solutions Cloud engineering experience, including hands-on experience with Cloud Run Production delivery experience: CI/CD, containerization (Docker), and operational readiness (monitoring, logging, incident response) Java development experience Kubernetes experience Experience implementing and validating RAG systems (vector search, embeddings, retrieval quality) Ability to design for reliability and safety: failure mode thinking, graceful degradation, and clear human escalation paths Desired Skills: Azure or AWS experience Experience with Pub/Sub and event-driven architectures Experience in regulated financial services (SOX, GLBA, data classification, audit expectations) Experience with evaluation frameworks and model monitoring practices Experience building multi-agent orchestration and constraint systems Familiarity with secure software development (threat modeling, SAST/DAST, secrets management) Strong communication and collaboration skills Experience leading technical initiatives or engineering teams Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/14/2026
Full time
Genesis10 is currently seeking a Senior AI Agentic Senior Technical Engineer for a 3+ month contract to hire opportunity with a Regional Financial Institution located in Columbus, OH; Akron, OH; Cleveland, OH; Cincinnati, OH; Minneapolis, MN; Dallas, TX; Detroit, MI; Ch Compensation: $107.00 - $117.00 per hour, W2, based on qualifications Position Overview: This role is responsible for building AI agents, developing API integrations, and implementing Pub/Sub messaging solutions. The ideal candidate understands the full agentic AI development lifecycle and has experience designing and developing AI solutions. Initially, the role focuses on building AI capabilities for the Commercial Services Loan Operations team, with the expectation that these solutions will eventually scale across the enterprise. This is a hands-on development role that involves close collaboration with cross-functional teams and ownership of projects to ensure continuity and successful delivery. Key Responsibilities: Design and implement production agent workflows using reference patterns: single-agent, supervised multi-agent, and tool-using agents Build tool integrations to enterprise services and banking systems (APIs, data products, document services) with strong error handling and audit logging Engineer RAG pipelines and retrieval behavior (chunking, embedding selection, re-ranking, context assembly) Implement agent memory and state management patterns that are compliant and operationally safe Create and maintain evaluation harnesses and regression suites for non-deterministic outputs Implement required guardrails (prompt injection defenses, tool restrictions, output filtering) and pass pre-deployment security gates Instrument agents for observability: decision traces, tool-call telemetry, retrieval diagnostics, token/cost metrics, and quality signals Ship via CI/CD with production readiness: feature flags, rollbacks, versioning, and runbooks Lead design and code reviews for agent components and mentor other engineers Debug complex failure modes and implement mitigations Primary Requirements: 7+ years in software engineering with 2+ years building LLM-enabled applications or agent systems in production Hands-on experience with at least one frontier model platform (Claude, GPT-4+, Gemini) including tool use and multi-turn workflow design Experience developing and integrating APIs Experience with end-to-end testing of agentic AI solutions Cloud engineering experience, including hands-on experience with Cloud Run Production delivery experience: CI/CD, containerization (Docker), and operational readiness (monitoring, logging, incident response) Java development experience Kubernetes experience Experience implementing and validating RAG systems (vector search, embeddings, retrieval quality) Ability to design for reliability and safety: failure mode thinking, graceful degradation, and clear human escalation paths Desired Skills: Azure or AWS experience Experience with Pub/Sub and event-driven architectures Experience in regulated financial services (SOX, GLBA, data classification, audit expectations) Experience with evaluation frameworks and model monitoring practices Experience building multi-agent orchestration and constraint systems Familiarity with secure software development (threat modeling, SAST/DAST, secrets management) Strong communication and collaboration skills Experience leading technical initiatives or engineering teams Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Turn data science models for glucose forecasting, pattern detection, and personalization into reliable, scalable cloud services. Build real-time and batch inference systems and feature pipelines using sensor and user-context data, and collaborate with data science, platform, and product teams. Responsibilities Productionize time-series and personalization models into scalable, monitored services. Refactor and optimize data science code for performance, reliability, and maintainability. Build batch and real-time inference services to meet latency, cost, and availability targets. Expose model outputs as reliable tools and signals for agentic AI systems. Build and maintain feature pipelines using sensor, meal, activity, and user-context data. Address sensor data quality challenges and contribute to design reviews, verification, and technical documentation. Required Skills Python Py Torch Tensor Flowscikit-learn Time-series modeling Forecasting Cloud platforms Containerization ML pipelines CI/CD
11/14/2026
Full time
Turn data science models for glucose forecasting, pattern detection, and personalization into reliable, scalable cloud services. Build real-time and batch inference systems and feature pipelines using sensor and user-context data, and collaborate with data science, platform, and product teams. Responsibilities Productionize time-series and personalization models into scalable, monitored services. Refactor and optimize data science code for performance, reliability, and maintainability. Build batch and real-time inference services to meet latency, cost, and availability targets. Expose model outputs as reliable tools and signals for agentic AI systems. Build and maintain feature pipelines using sensor, meal, activity, and user-context data. Address sensor data quality challenges and contribute to design reviews, verification, and technical documentation. Required Skills Python Py Torch Tensor Flowscikit-learn Time-series modeling Forecasting Cloud platforms Containerization ML pipelines CI/CD
Job Description Position Summary We are looking to add to our dynamic team the critical role of Enterprise AI Architect to help turn AI ideas into secure, scalable, production-ready business solutions. This high-visibility role will define the architecture, patterns, and guardrails that help the company adopt AI responsibly and at scale. The ideal candidate is a hands-on solution architect who can translate business needs into practical AI solutions, design agentic and multi-agent architectures, and partner across business, IT, data, cybersecurity, and operations teams. This is a builder role for someone excited to create the enterprise AI playbook in a global manufacturing and technology environment. Why This Role Is Exciting Help define how enterprise AI is built, governed, and scaled. Work on high-value AI use cases that improve real business processes. Shape the company's approach to agents, copilots, AI governance, and responsible adoption. Turn experimentation into measurable enterprise impact. Key Responsibilities AI Strategy & Solution Architecture Define the enterprise AI architecture roadmap, from early use cases to production-ready solutions. Create reusable standards, solution patterns, and best practices for scalable AI delivery. Lead architecture for generative AI, copilots, AI agents, RAG, machine learning, and intelligent workflows. Design agentic and multi-agent solutions with clear controls, escalation paths, and human-in-the-loop checkpoints. Azure AI Platform Leadership Architect solutions using Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Microsoft Fabric, Copilot Studio, Power Platform, and related Microsoft AI services. Define when to use copilots, agents, RAG, automation, custom APIs, or third-party AI tools. Evaluate and integrate AI capabilities from outside the Azure ecosystem, including platforms and models from providers such as OpenAI, Anthropic, Google, and others. Design hybrid AI patterns for manufacturing and operational environments that cannot be fully cloud-native. Enterprise Data & Systems Integration Ground AI solutions in trusted enterprise data, including ERP, SQL Server applications, and manufacturing/OT systems. Define secure data pipelines, APIs, connectors, and integration patterns using standards such as MCP and A2A where appropriate. Cross-Functional Collaboration Partner with business leaders, cybersecurity, infrastructure, data, and development teams to deliver secure, scalable AI solutions. Prioritize AI opportunities based on business value, feasibility, risk, and adoption potential. Agile Delivery Leadership Provide technical leadership across Agile delivery teams, including onshore and offshore resources. Guide AI initiatives from concept through production deployment and support. AI Governance, Risk & Compliance Establish responsible AI, security, compliance, and governance standards for production AI solutions. Define ALM, LLMOps/MLOps, monitoring, versioning, telemetry, and model evaluation practices. Protect AI models and data workflows through access controls, audit trails, data residency, and prompt-injection safeguards. AI Cost Governance (FinOps) Monitor AI compute, API, and cloud costs. Conduct ROI analysis and define success metrics for AI-powered solutions. Required Qualifications Experience 5+ years in solution, cloud, or enterprise architecture. 3+ years designing AI, machine learning, generative AI, or agentic AI solutions. Hands-on experience with Microsoft Azure and Azure AI services. Experience integrating AI with enterprise systems, ERP, manufacturing, or operational data is a plus. Experience leading Agile teams and globally distributed development resources. Technical Skills Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Microsoft Fabric, Copilot Studio, Power Platform. LLMs, RAG, AI agents, prompt engineering, grounding, evaluation, telemetry, and human-in-the-loop patterns. Ability to compare and select fit-for-purpose AI platforms, models, and tools across Microsoft and non-Microsoft ecosystems. MCP, A2A, secure APIs, connectors, cloud architecture, and enterprise integration patterns. Security, identity, governance, MLOps/LLMOps, and regulated-environment awareness. Preferred Certifications Microsoft Certified: Azure Solutions Architect Expert. Microsoft Certified: Azure AI Engineer Associate (or equivalent GenAI/ML certification). Soft Skills Strong communicator who can explain AI concepts to technical and non-technical audiences. Collaborative partner with strong stakeholder management skills. Practical, outcome-focused problem solver who can balance innovation with governance. EEO - M/F/D/V
11/14/2026
Full time
Job Description Position Summary We are looking to add to our dynamic team the critical role of Enterprise AI Architect to help turn AI ideas into secure, scalable, production-ready business solutions. This high-visibility role will define the architecture, patterns, and guardrails that help the company adopt AI responsibly and at scale. The ideal candidate is a hands-on solution architect who can translate business needs into practical AI solutions, design agentic and multi-agent architectures, and partner across business, IT, data, cybersecurity, and operations teams. This is a builder role for someone excited to create the enterprise AI playbook in a global manufacturing and technology environment. Why This Role Is Exciting Help define how enterprise AI is built, governed, and scaled. Work on high-value AI use cases that improve real business processes. Shape the company's approach to agents, copilots, AI governance, and responsible adoption. Turn experimentation into measurable enterprise impact. Key Responsibilities AI Strategy & Solution Architecture Define the enterprise AI architecture roadmap, from early use cases to production-ready solutions. Create reusable standards, solution patterns, and best practices for scalable AI delivery. Lead architecture for generative AI, copilots, AI agents, RAG, machine learning, and intelligent workflows. Design agentic and multi-agent solutions with clear controls, escalation paths, and human-in-the-loop checkpoints. Azure AI Platform Leadership Architect solutions using Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Microsoft Fabric, Copilot Studio, Power Platform, and related Microsoft AI services. Define when to use copilots, agents, RAG, automation, custom APIs, or third-party AI tools. Evaluate and integrate AI capabilities from outside the Azure ecosystem, including platforms and models from providers such as OpenAI, Anthropic, Google, and others. Design hybrid AI patterns for manufacturing and operational environments that cannot be fully cloud-native. Enterprise Data & Systems Integration Ground AI solutions in trusted enterprise data, including ERP, SQL Server applications, and manufacturing/OT systems. Define secure data pipelines, APIs, connectors, and integration patterns using standards such as MCP and A2A where appropriate. Cross-Functional Collaboration Partner with business leaders, cybersecurity, infrastructure, data, and development teams to deliver secure, scalable AI solutions. Prioritize AI opportunities based on business value, feasibility, risk, and adoption potential. Agile Delivery Leadership Provide technical leadership across Agile delivery teams, including onshore and offshore resources. Guide AI initiatives from concept through production deployment and support. AI Governance, Risk & Compliance Establish responsible AI, security, compliance, and governance standards for production AI solutions. Define ALM, LLMOps/MLOps, monitoring, versioning, telemetry, and model evaluation practices. Protect AI models and data workflows through access controls, audit trails, data residency, and prompt-injection safeguards. AI Cost Governance (FinOps) Monitor AI compute, API, and cloud costs. Conduct ROI analysis and define success metrics for AI-powered solutions. Required Qualifications Experience 5+ years in solution, cloud, or enterprise architecture. 3+ years designing AI, machine learning, generative AI, or agentic AI solutions. Hands-on experience with Microsoft Azure and Azure AI services. Experience integrating AI with enterprise systems, ERP, manufacturing, or operational data is a plus. Experience leading Agile teams and globally distributed development resources. Technical Skills Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Microsoft Fabric, Copilot Studio, Power Platform. LLMs, RAG, AI agents, prompt engineering, grounding, evaluation, telemetry, and human-in-the-loop patterns. Ability to compare and select fit-for-purpose AI platforms, models, and tools across Microsoft and non-Microsoft ecosystems. MCP, A2A, secure APIs, connectors, cloud architecture, and enterprise integration patterns. Security, identity, governance, MLOps/LLMOps, and regulated-environment awareness. Preferred Certifications Microsoft Certified: Azure Solutions Architect Expert. Microsoft Certified: Azure AI Engineer Associate (or equivalent GenAI/ML certification). Soft Skills Strong communicator who can explain AI concepts to technical and non-technical audiences. Collaborative partner with strong stakeholder management skills. Practical, outcome-focused problem solver who can balance innovation with governance. EEO - M/F/D/V
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices Passionate about customer experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze . click apply for full job details
11/14/2026
Full time
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices Passionate about customer experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze . click apply for full job details
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Fellow, Integrated Solutions & Ecosystem Architecture Description - Why this role is critical to HP The next generation of personal computing will be defined across company boundaries. Silicon, operating systems, AI platforms, memory, security, cloud services, firmware and device experiences increasingly evolve on independent roadmaps, yet must operate as one integrated system in the products customers use. HP is seeking a Technical Fellow to serve as the senior technical leader for partner architecture and ecosystem engineering across Personal Systems. This leader will work directly with HP's most strategic technology partners and with engineering teams across HP to turn separate technology roadmaps into integrated, multi-generation product architectures. The role will shape joint technical direction, establish the architectural interfaces and commitments required across organizations, identify where HP should build, integrate or co-engineer, and drive the technology workstreams needed to convert capabilities into differentiated products. This is a critical hands-on senior technical leadership role accountable for architecture, roadmap convergence, technical decisions and co-engineering outcomes across company boundaries. Key responsibilities Lead HP's technical architecture engagement with strategic ecosystem partners across silicon, operating systems, AI platforms, memory and storage, cloud, device technologies and system software. Create integrated multi-generation technology roadmaps connecting partner capabilities, HP engineering priorities and future product requirements; identify dependencies, gaps and critical decisions early enough to influence both HP and partner roadmaps. Define HP's technical asks to partners. Translate customer needs, system requirements and architectural direction into specific partner capabilities, interfaces, engineering commitments and product intercepts. Drive common architecture and leverage across the Personal Systems portfolio. Establish where platforms, interfaces, software components, firmware capabilities, validation methods and system technologies should be common and reusable, while preserving meaningful product differentiation. Lead architecture across organizational boundaries inside HP. Connect device engineering with HP-wide AI, software, security, manageability, services and experience teams so independently developed capabilities come together as complete system solutions. Drive joint technology workstreams from concept through engineering commitment. Establish clear technical outcomes, owners, dependencies, milestones and acceptance criteria with internal teams and external partners; ensure promising technologies progress beyond demonstrations into product-ready capabilities. Shape HP's architecture for next-generation AI and agentic computing. Drive system-level decisions spanning CPU/GPU/NPU execution, memory, power, thermals, firmware, operating systems, AI runtimes, security, manageability and device-edge-cloud integration. Resolve complex cross-company architecture tradeoffs. Provide senior technical judgment where performance, cost, power, memory, security, roadmap timing, product requirements and independently managed partner priorities conflict. Represent HP as a senior technical counterpart with industry leaders. Engage partner CTOs, Fellows, architects and engineering executives to influence technology direction, establish joint priorities and secure engineering commitments. Build HP's partner-architecture capability and technical bench. Lead and mentor a small team of senior architects and technical leaders, develop future technical talent and strengthen HP's ability to operate credibly at the highest levels of the industry. What success looks like HP influences partner roadmaps earlier. Important HP requirements appear in partner architectures, engineering plans and future technology releases rather than being addressed after roadmaps are fixed. Partner engagement produces engineering outcomes. Joint work results in committed resources, interfaces, technology deliverables, reference implementations and capabilities that reach HP products. Architecture converges earlier across HP and its partners. Dependencies and technical tradeoffs are resolved before they become late product issues, reducing duplicated work, redesign and schedule risk. HP gains greater leverage from common architecture. Reusable system capabilities, interfaces and validation approaches are adopted across multiple product lines and generations. Emerging technology translates into product differentiation. New silicon, software, AI and ecosystem capabilities move systematically from evaluation to co-engineering to product adoption. HP becomes a stronger technical voice in the ecosystem. Strategic partners increasingly engage HP as a technology co-designer whose requirements and architecture help shape future platforms. HP builds deeper technical leadership. Senior architecture expertise grows inside the company, with a stronger bench and succession pipeline for critical technical roles. Required experience and capabilities Exceptional record of technical leadership across complex, large-scale computing platforms or product ecosystems. Deep systems architecture expertise spanning several of the following: silicon, operating systems, firmware, system software, AI/ML systems, memory, security, manageability, cloud/edge computing and hardware platforms. Demonstrated experience shaping multi-generation technology roadmaps with major external technology partners. Proven ability to turn emerging technologies and architectural concepts into shipping platforms, products or broadly deployed capabilities. Experience negotiating consequential technical tradeoffs across companies and organizations with different priorities, roadmaps and business models. Strong understanding of system-level performance and the interactions among compute, memory, power, thermals, firmware, software and workload behavior. Executive presence and technical credibility to work effectively with CTOs, Fellows, senior engineering executives and business leaders. Ability to operate effectively with incomplete information, rapidly changing technology and complex organizational dependencies while still driving decisions and execution. Demonstrated ability to lead through influence across organizations where direct reporting authority does not exist. Track record of attracting, mentoring and developing exceptional senior technical talent. Preferred experience Senior architecture leadership in personal computing, semiconductor, operating-system, AI-platform, cloud/edge or large-scale device organizations. Experience working directly with major silicon, operating-system, AI, memory, cloud and device-ecosystem companies. Experience spanning both technology creation and productization-not solely research, standards or product execution. Experience with multi-platform architectures involving multiple silicon vendors, operating environments and product categories. Experience developing joint reference architectures, co-engineering programs, industry standards or major partner-dependent technology initiatives. Advanced degree in Computer Science, Computer Engineering, Electrical Engineering or a related discipline, or equivalent depth of industry experience. The pay range for this role is $350,000 to $450,000 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Engineering Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status . click apply for full job details
11/14/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Fellow, Integrated Solutions & Ecosystem Architecture Description - Why this role is critical to HP The next generation of personal computing will be defined across company boundaries. Silicon, operating systems, AI platforms, memory, security, cloud services, firmware and device experiences increasingly evolve on independent roadmaps, yet must operate as one integrated system in the products customers use. HP is seeking a Technical Fellow to serve as the senior technical leader for partner architecture and ecosystem engineering across Personal Systems. This leader will work directly with HP's most strategic technology partners and with engineering teams across HP to turn separate technology roadmaps into integrated, multi-generation product architectures. The role will shape joint technical direction, establish the architectural interfaces and commitments required across organizations, identify where HP should build, integrate or co-engineer, and drive the technology workstreams needed to convert capabilities into differentiated products. This is a critical hands-on senior technical leadership role accountable for architecture, roadmap convergence, technical decisions and co-engineering outcomes across company boundaries. Key responsibilities Lead HP's technical architecture engagement with strategic ecosystem partners across silicon, operating systems, AI platforms, memory and storage, cloud, device technologies and system software. Create integrated multi-generation technology roadmaps connecting partner capabilities, HP engineering priorities and future product requirements; identify dependencies, gaps and critical decisions early enough to influence both HP and partner roadmaps. Define HP's technical asks to partners. Translate customer needs, system requirements and architectural direction into specific partner capabilities, interfaces, engineering commitments and product intercepts. Drive common architecture and leverage across the Personal Systems portfolio. Establish where platforms, interfaces, software components, firmware capabilities, validation methods and system technologies should be common and reusable, while preserving meaningful product differentiation. Lead architecture across organizational boundaries inside HP. Connect device engineering with HP-wide AI, software, security, manageability, services and experience teams so independently developed capabilities come together as complete system solutions. Drive joint technology workstreams from concept through engineering commitment. Establish clear technical outcomes, owners, dependencies, milestones and acceptance criteria with internal teams and external partners; ensure promising technologies progress beyond demonstrations into product-ready capabilities. Shape HP's architecture for next-generation AI and agentic computing. Drive system-level decisions spanning CPU/GPU/NPU execution, memory, power, thermals, firmware, operating systems, AI runtimes, security, manageability and device-edge-cloud integration. Resolve complex cross-company architecture tradeoffs. Provide senior technical judgment where performance, cost, power, memory, security, roadmap timing, product requirements and independently managed partner priorities conflict. Represent HP as a senior technical counterpart with industry leaders. Engage partner CTOs, Fellows, architects and engineering executives to influence technology direction, establish joint priorities and secure engineering commitments. Build HP's partner-architecture capability and technical bench. Lead and mentor a small team of senior architects and technical leaders, develop future technical talent and strengthen HP's ability to operate credibly at the highest levels of the industry. What success looks like HP influences partner roadmaps earlier. Important HP requirements appear in partner architectures, engineering plans and future technology releases rather than being addressed after roadmaps are fixed. Partner engagement produces engineering outcomes. Joint work results in committed resources, interfaces, technology deliverables, reference implementations and capabilities that reach HP products. Architecture converges earlier across HP and its partners. Dependencies and technical tradeoffs are resolved before they become late product issues, reducing duplicated work, redesign and schedule risk. HP gains greater leverage from common architecture. Reusable system capabilities, interfaces and validation approaches are adopted across multiple product lines and generations. Emerging technology translates into product differentiation. New silicon, software, AI and ecosystem capabilities move systematically from evaluation to co-engineering to product adoption. HP becomes a stronger technical voice in the ecosystem. Strategic partners increasingly engage HP as a technology co-designer whose requirements and architecture help shape future platforms. HP builds deeper technical leadership. Senior architecture expertise grows inside the company, with a stronger bench and succession pipeline for critical technical roles. Required experience and capabilities Exceptional record of technical leadership across complex, large-scale computing platforms or product ecosystems. Deep systems architecture expertise spanning several of the following: silicon, operating systems, firmware, system software, AI/ML systems, memory, security, manageability, cloud/edge computing and hardware platforms. Demonstrated experience shaping multi-generation technology roadmaps with major external technology partners. Proven ability to turn emerging technologies and architectural concepts into shipping platforms, products or broadly deployed capabilities. Experience negotiating consequential technical tradeoffs across companies and organizations with different priorities, roadmaps and business models. Strong understanding of system-level performance and the interactions among compute, memory, power, thermals, firmware, software and workload behavior. Executive presence and technical credibility to work effectively with CTOs, Fellows, senior engineering executives and business leaders. Ability to operate effectively with incomplete information, rapidly changing technology and complex organizational dependencies while still driving decisions and execution. Demonstrated ability to lead through influence across organizations where direct reporting authority does not exist. Track record of attracting, mentoring and developing exceptional senior technical talent. Preferred experience Senior architecture leadership in personal computing, semiconductor, operating-system, AI-platform, cloud/edge or large-scale device organizations. Experience working directly with major silicon, operating-system, AI, memory, cloud and device-ecosystem companies. Experience spanning both technology creation and productization-not solely research, standards or product execution. Experience with multi-platform architectures involving multiple silicon vendors, operating environments and product categories. Experience developing joint reference architectures, co-engineering programs, industry standards or major partner-dependent technology initiatives. Advanced degree in Computer Science, Computer Engineering, Electrical Engineering or a related discipline, or equivalent depth of industry experience. The pay range for this role is $350,000 to $450,000 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Engineering Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status . click apply for full job details
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices Passionate about customer experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze . click apply for full job details
11/14/2026
Full time
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices Passionate about customer experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze . click apply for full job details
Job Description Job Description: Agentic AI Engineer Experience: (8-10) + Years Location: Fort Mill, SC Annual Salary: $120K Per Annum Job Summary We are seeking an experienced Agentic AI Engineer with 10+ years of experience in software engineering, AI/ML, and enterprise application development to design, develop, and deploy intelligent AI agents for wealth management applications. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and enterprise AI integration. This role requires hands-on experience building production-grade AI solutions that can reason, plan, use tools, retrieve information, and execute business workflows with appropriate human oversight. Experience in wealth management, financial services, investment management, portfolio analytics, or financial advisory platforms is highly preferred. Key Responsibilities Design, develop, and deploy production-ready Agentic AI solutions for wealth management and financial services applications. Build autonomous and semi-autonomous AI agents capable of planning tasks, reasoning, invoking tools, and executing multi-step workflows. Develop multi-agent systems using frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent technologies. Design and implement LLM-powered applications using models from OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or similar platforms. Develop and optimize RAG pipelines, including document ingestion, chunking, embeddings, semantic search, reranking, and context retrieval. Integrate AI agents with enterprise systems, REST APIs, databases, knowledge repositories, and financial data platforms. Implement tool/function calling, structured outputs, workflow orchestration, memory management, and stateful agent execution. Build solutions for wealth management use cases, including portfolio research, advisor assistance, investment document analysis, client servicing, financial insights, and knowledge retrieval. Implement responsible AI practices, including guardrails, prompt-injection protection, access controls, PII protection, auditability, and human-in-the-loop approvals. Evaluate AI solutions for accuracy, groundedness, latency, reliability, cost, and business effectiveness. Deploy, monitor, and maintain AI applications using CI/CD, containerization, cloud services, logging, and observability tools. Collaborate with product managers, architects, data engineers, business analysts, and compliance teams to translate business requirements into scalable AI solutions. Mentor engineers, establish engineering best practices, and provide technical leadership across AI initiatives. Required Technical Skills 1. Programming and Software Engineering Strong hands-on experience with Python and object-oriented programming. Expertise in REST APIs, microservices, asynchronous processing, and enterprise application integration. Proficiency with Git, automated testing, debugging, and software engineering best practices. 2. Agentic AI and LLMs Hands-on experience designing and implementing AI agents and multi-agent workflows. Strong understanding of LLM architecture, prompt engineering, context management, and model selection. Experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen. Experience implementing tool calling, function calling, planning, state management, retries, and error handling. Understanding of agent autonomy, workflow determinism, and human-in-the-loop controls. 3. RAG and Knowledge Retrieval Experience building enterprise-grade RAG applications and document intelligence solutions. Knowledge of embedding models, vector search, hybrid search, reranking, and retrieval optimization. Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS. Familiarity with Elasticsearch/OpenSearch and traditional relational or NoSQL databases. 4. Cloud and AI Deployment Experience deploying AI applications on AWS, Azure, or GCP. Familiarity with services such as AWS Bedrock, Azure OpenAI, or equivalent managed AI platforms. Experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring. Understanding of scalability, performance optimization, model serving, and LLM cost management. 5. AI Quality, Security, and Governance Experience implementing LLM evaluation, hallucination mitigation, grounded responses, and AI guardrails. Knowledge of responsible AI, data privacy, secure API integration, and enterprise access controls. Understanding of observability, tracing, prompt/version management, and production incident troubleshooting. Wealth Management Domain Experience Experience working in wealth management, financial services, investment management, banking, or fintech. Understanding of portfolio management, asset allocation, investment research, financial advisors, and client servicing workflows. Familiarity with financial statements, investment reports, market data, and financial research documents. Ability to develop AI solutions that support advisors and operations teams while maintaining data confidentiality, traceability, and compliance requirements. Experience with regulated financial environments and human approval workflows for sensitive or consequential actions is a strong plus. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. 10+ years of overall software engineering experience, with substantial hands-on experience in AI/ML, LLM applications, or Generative AI. Demonstrated experience delivering AI solutions from proof of concept through production deployment. Strong analytical, problem-solving, communication, and stakeholder-management skills. Experience leading technical design discussions and mentoring engineering teams. Important: Candidates should demonstrate hands-on implementation of production-grade Agentic AI solutions, not just chatbot development, prompt engineering, or proof-of-concept projects.
11/14/2026
Full time
Job Description Job Description: Agentic AI Engineer Experience: (8-10) + Years Location: Fort Mill, SC Annual Salary: $120K Per Annum Job Summary We are seeking an experienced Agentic AI Engineer with 10+ years of experience in software engineering, AI/ML, and enterprise application development to design, develop, and deploy intelligent AI agents for wealth management applications. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and enterprise AI integration. This role requires hands-on experience building production-grade AI solutions that can reason, plan, use tools, retrieve information, and execute business workflows with appropriate human oversight. Experience in wealth management, financial services, investment management, portfolio analytics, or financial advisory platforms is highly preferred. Key Responsibilities Design, develop, and deploy production-ready Agentic AI solutions for wealth management and financial services applications. Build autonomous and semi-autonomous AI agents capable of planning tasks, reasoning, invoking tools, and executing multi-step workflows. Develop multi-agent systems using frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent technologies. Design and implement LLM-powered applications using models from OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or similar platforms. Develop and optimize RAG pipelines, including document ingestion, chunking, embeddings, semantic search, reranking, and context retrieval. Integrate AI agents with enterprise systems, REST APIs, databases, knowledge repositories, and financial data platforms. Implement tool/function calling, structured outputs, workflow orchestration, memory management, and stateful agent execution. Build solutions for wealth management use cases, including portfolio research, advisor assistance, investment document analysis, client servicing, financial insights, and knowledge retrieval. Implement responsible AI practices, including guardrails, prompt-injection protection, access controls, PII protection, auditability, and human-in-the-loop approvals. Evaluate AI solutions for accuracy, groundedness, latency, reliability, cost, and business effectiveness. Deploy, monitor, and maintain AI applications using CI/CD, containerization, cloud services, logging, and observability tools. Collaborate with product managers, architects, data engineers, business analysts, and compliance teams to translate business requirements into scalable AI solutions. Mentor engineers, establish engineering best practices, and provide technical leadership across AI initiatives. Required Technical Skills 1. Programming and Software Engineering Strong hands-on experience with Python and object-oriented programming. Expertise in REST APIs, microservices, asynchronous processing, and enterprise application integration. Proficiency with Git, automated testing, debugging, and software engineering best practices. 2. Agentic AI and LLMs Hands-on experience designing and implementing AI agents and multi-agent workflows. Strong understanding of LLM architecture, prompt engineering, context management, and model selection. Experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen. Experience implementing tool calling, function calling, planning, state management, retries, and error handling. Understanding of agent autonomy, workflow determinism, and human-in-the-loop controls. 3. RAG and Knowledge Retrieval Experience building enterprise-grade RAG applications and document intelligence solutions. Knowledge of embedding models, vector search, hybrid search, reranking, and retrieval optimization. Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS. Familiarity with Elasticsearch/OpenSearch and traditional relational or NoSQL databases. 4. Cloud and AI Deployment Experience deploying AI applications on AWS, Azure, or GCP. Familiarity with services such as AWS Bedrock, Azure OpenAI, or equivalent managed AI platforms. Experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring. Understanding of scalability, performance optimization, model serving, and LLM cost management. 5. AI Quality, Security, and Governance Experience implementing LLM evaluation, hallucination mitigation, grounded responses, and AI guardrails. Knowledge of responsible AI, data privacy, secure API integration, and enterprise access controls. Understanding of observability, tracing, prompt/version management, and production incident troubleshooting. Wealth Management Domain Experience Experience working in wealth management, financial services, investment management, banking, or fintech. Understanding of portfolio management, asset allocation, investment research, financial advisors, and client servicing workflows. Familiarity with financial statements, investment reports, market data, and financial research documents. Ability to develop AI solutions that support advisors and operations teams while maintaining data confidentiality, traceability, and compliance requirements. Experience with regulated financial environments and human approval workflows for sensitive or consequential actions is a strong plus. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. 10+ years of overall software engineering experience, with substantial hands-on experience in AI/ML, LLM applications, or Generative AI. Demonstrated experience delivering AI solutions from proof of concept through production deployment. Strong analytical, problem-solving, communication, and stakeholder-management skills. Experience leading technical design discussions and mentoring engineering teams. Important: Candidates should demonstrate hands-on implementation of production-grade Agentic AI solutions, not just chatbot development, prompt engineering, or proof-of-concept projects.
Job Description C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. About Our Manufacturing Business Unit Our company is organized into unique Business Units, each delivering innovative and differentiated business technology solutions across industries. The Manufacturing Business Unit specializes in enterprise-scale manufacturing solutions that drive site- and network-level outcomes aligned to strategic objectives and KPIs. Our applications, data products, and advanced platform technologies-including AI and IoT-enable Digital Manufacturing at Scale. We primarily serve enterprise clients across Human Pharma, Animal Health, and Consumer Goods industries. Our Manufacturing Business Unit operates through three integrated functions: • Strategy & Growth - Develops differentiated offerings and industry thought leadership. • Business Consulting - Defines client-customized solutions and ensures sustained value realization. • Engineering Delivery - Delivers solution architecture, development, deployment, and sustainment. The Business Consulting function is hiring a Manager, Manufacturing Solutions Business Consultant to serve as a Product Owner and consulting lead across manufacturing digital initiatives. Position Overview The Consultant supports delivery of Digital Manufacturing initiatives by acting as a Business Analyst and/or Junior Product Owner within client engagements. This role partners closely with Managers and Senior Managers to define requirements, structure documentation, develop client-ready materials, and support Agile delivery execution. The Consultant plays a key role in translating manufacturing business needs into functional artifacts that enable engineering teams to deliver value. This is a hands-on, consulting and analytical role suited for individuals with early experience in Manufacturing OT, Manufacturing IT or technology. The role also requires a working understanding of artificial intelligence (AI), including generative AI and agentic technologies, and an interest in applying these capabilities to practical manufacturing and business challenges. Key Responsibilities Consulting & Problem Solving Support consulting engagements by analyzing manufacturing business needs, contributing to client discussions, and helping develop practical recommendations and solutions. Business Analysis & Requirements Development • Support facilitation of client workshops to gather functional and non-functional requirements. • Document business processes, current-state pain points, and future-state solution designs. • Develop structured requirements documentation, user stories, and acceptance criteria. • Assist in translating manufacturing KPIs (OEE, quality, throughput, asset performance) into measurable solution objectives. • Maintain traceability between business requirements and delivered functionality. Product & Backlog Support • Support backlog development and refinement under guidance of a Manager or Senior Manager. • Draft epics, features, and user stories aligned to defined roadmap priorities. • Participate in sprint planning, demos, and retrospectives. • Track action items, risks, and dependencies across delivery workstreams. • Assist in maintaining roadmap documentation and milestone trackers. Documentation & Presentation Development Develop high-quality client-ready materials including: Roadmap summaries Workshop outputs Business case inputs Solution overviews Executive presentation drafts: -Structure content using clear, logical storytelling and data-supported insights. -Support development of proposal materials and Statements of Work. -Ensure documentation is clear, concise, and professionally formatted. Agile & Delivery Support • Operate within Agile delivery models (Scrum, SAFe, or hybrid environments). • Support backlog grooming and sprint documentation. • Assist with tracking sprint progress and updating delivery artifacts. • Promote disciplined documentation and communication standards. Manufacturing Domain & Technical Acumen • Build working knowledge of manufacturing business processes (production execution, quality, maintenance, traceability). • Develop familiarity with manufacturing technology ecosystems • Support analysis of integration points across MES, ERP, IoT, and data platforms. AI & Agentic Solution Support • Support identification and documentation of AI-enabled use cases across manufacturing processes, knowledge workflows, decision support, and task automation. • Translate AI use cases into business requirements, process flows, user stories, acceptance criteria, test scenarios, and measurable success criteria. • Build familiarity with large language models, AI agents, retrieval-augmented generation, machine learning, and enterprise AI governance concepts. Required Qualifications • 3+ years of consulting experience in manufacturing, technology, or digital delivery environments. • Proven consulting experience supporting client discussions and helping develop practical recommendations and solutions. • Experience supporting requirements gathering and documentation. • Exposure to Agile delivery methodologies. • Strong written and verbal communication skills. • Analytical mindset with structured problem-solving capabilities. • Proficiency in presentation development tools (e.g., PowerPoint, Excel). Preferred Qualifications • Bachelor's degree • Experience in technology delivery or implementation • Experience with project management practices and project management software • Experience working with cross functional teams such as UI/UX designers, software/data engineers and end users What we offer: Competitive remuneration and various benefits: 401(k) Retirement Plan (Immediate eligibility with 100% employer match up to 4%.) Medical Insurance Maternity and Paternity Leave Long-Term Disability Bereavement leave Generous Sick Leave Internet and Phone stipend Development stipend Wellness stipend Generous Paid Time Off: 20 days in the first year, increasing to 25 days We work fully remotely but expect openness to occasional travel Company culture is rooted in respect and cooperation. You'll be working with great people, who are open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend. Additional Info: Range: $100,000 - $115,000 + Bonus Location: Remote (US East Coast) Travel: 10%
11/14/2026
Full time
Job Description C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. About Our Manufacturing Business Unit Our company is organized into unique Business Units, each delivering innovative and differentiated business technology solutions across industries. The Manufacturing Business Unit specializes in enterprise-scale manufacturing solutions that drive site- and network-level outcomes aligned to strategic objectives and KPIs. Our applications, data products, and advanced platform technologies-including AI and IoT-enable Digital Manufacturing at Scale. We primarily serve enterprise clients across Human Pharma, Animal Health, and Consumer Goods industries. Our Manufacturing Business Unit operates through three integrated functions: • Strategy & Growth - Develops differentiated offerings and industry thought leadership. • Business Consulting - Defines client-customized solutions and ensures sustained value realization. • Engineering Delivery - Delivers solution architecture, development, deployment, and sustainment. The Business Consulting function is hiring a Manager, Manufacturing Solutions Business Consultant to serve as a Product Owner and consulting lead across manufacturing digital initiatives. Position Overview The Consultant supports delivery of Digital Manufacturing initiatives by acting as a Business Analyst and/or Junior Product Owner within client engagements. This role partners closely with Managers and Senior Managers to define requirements, structure documentation, develop client-ready materials, and support Agile delivery execution. The Consultant plays a key role in translating manufacturing business needs into functional artifacts that enable engineering teams to deliver value. This is a hands-on, consulting and analytical role suited for individuals with early experience in Manufacturing OT, Manufacturing IT or technology. The role also requires a working understanding of artificial intelligence (AI), including generative AI and agentic technologies, and an interest in applying these capabilities to practical manufacturing and business challenges. Key Responsibilities Consulting & Problem Solving Support consulting engagements by analyzing manufacturing business needs, contributing to client discussions, and helping develop practical recommendations and solutions. Business Analysis & Requirements Development • Support facilitation of client workshops to gather functional and non-functional requirements. • Document business processes, current-state pain points, and future-state solution designs. • Develop structured requirements documentation, user stories, and acceptance criteria. • Assist in translating manufacturing KPIs (OEE, quality, throughput, asset performance) into measurable solution objectives. • Maintain traceability between business requirements and delivered functionality. Product & Backlog Support • Support backlog development and refinement under guidance of a Manager or Senior Manager. • Draft epics, features, and user stories aligned to defined roadmap priorities. • Participate in sprint planning, demos, and retrospectives. • Track action items, risks, and dependencies across delivery workstreams. • Assist in maintaining roadmap documentation and milestone trackers. Documentation & Presentation Development Develop high-quality client-ready materials including: Roadmap summaries Workshop outputs Business case inputs Solution overviews Executive presentation drafts: -Structure content using clear, logical storytelling and data-supported insights. -Support development of proposal materials and Statements of Work. -Ensure documentation is clear, concise, and professionally formatted. Agile & Delivery Support • Operate within Agile delivery models (Scrum, SAFe, or hybrid environments). • Support backlog grooming and sprint documentation. • Assist with tracking sprint progress and updating delivery artifacts. • Promote disciplined documentation and communication standards. Manufacturing Domain & Technical Acumen • Build working knowledge of manufacturing business processes (production execution, quality, maintenance, traceability). • Develop familiarity with manufacturing technology ecosystems • Support analysis of integration points across MES, ERP, IoT, and data platforms. AI & Agentic Solution Support • Support identification and documentation of AI-enabled use cases across manufacturing processes, knowledge workflows, decision support, and task automation. • Translate AI use cases into business requirements, process flows, user stories, acceptance criteria, test scenarios, and measurable success criteria. • Build familiarity with large language models, AI agents, retrieval-augmented generation, machine learning, and enterprise AI governance concepts. Required Qualifications • 3+ years of consulting experience in manufacturing, technology, or digital delivery environments. • Proven consulting experience supporting client discussions and helping develop practical recommendations and solutions. • Experience supporting requirements gathering and documentation. • Exposure to Agile delivery methodologies. • Strong written and verbal communication skills. • Analytical mindset with structured problem-solving capabilities. • Proficiency in presentation development tools (e.g., PowerPoint, Excel). Preferred Qualifications • Bachelor's degree • Experience in technology delivery or implementation • Experience with project management practices and project management software • Experience working with cross functional teams such as UI/UX designers, software/data engineers and end users What we offer: Competitive remuneration and various benefits: 401(k) Retirement Plan (Immediate eligibility with 100% employer match up to 4%.) Medical Insurance Maternity and Paternity Leave Long-Term Disability Bereavement leave Generous Sick Leave Internet and Phone stipend Development stipend Wellness stipend Generous Paid Time Off: 20 days in the first year, increasing to 25 days We work fully remotely but expect openness to occasional travel Company culture is rooted in respect and cooperation. You'll be working with great people, who are open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend. Additional Info: Range: $100,000 - $115,000 + Bonus Location: Remote (US East Coast) Travel: 10%
Job Description Job Title / Role: Enterprise Architect Key Skills: Enterprise Architecture, TOGAF, Agentic AI Architecture, Cloud Architecture Experience: 15+ Location: San Deigo CA Shift: General Mode: Remote We at Coforge are seeking "Enterprise Architect" with the following skill set: Key Responsibilities The Enterprise Architect is a senior consulting leader and trusted technology advisor who connects client business strategy with executable transformation, shapes commercially viable opportunities, and governs architecture outcomes across complex global ecosystems. Act as the trusted technology and AI advisor for assigned accounts, build C-suite relationships, lead discovery and maturity assessments, and provide independent, outcome-focused recommendations. Partner with account and sales leaders on account plans, opportunity identification, deal shaping, proposals and executive presentations while maintaining advisory integrity and ensuring appropriate AI interventions are included. Lead architecture and AI solutioning for strategic pursuits and transformation programmes, ensuring alignment with business objectives, enterprise principles and measurable value. Mentor Solution Architects, assure architecture and design quality, and provide senior technical leadership to resolve critical client and delivery issues. Architecture Development Define and maintain enterprise architecture principles, standards, reference architectures, reusable building blocks and governance across business, data, application and technology domains. Assess business strategy, operating models and the technology estate; develop capability maps, value streams, baseline and target architectures, transition states and pragmatic roadmaps. Apply a tailored method such as TOGAF ADM or Zachman framework, where appropriate, to organise viewpoints, assure completeness and maintain traceability. Translate target architectures into investment priorities, transformation increments, adoption plans and measurable benefits, KPIs and business outcomes. Develop enterprise and solution architectures for modernisation, cloud, integration, data and AI platforms, balancing reuse, interoperability, security, scalability, resilience, sustainability and cost. Guide build, buy and partner decisions, vendor and platform selection, and multi-vendor ecosystem integration while managing lock-in, sovereignty and regulatory considerations. Design for federated, multi-geography enterprises and global delivery models, recognising local regulations, organisational constraints and cultural differences. AI Expertise Architect enterprise AI, GenAI and Agentic AI solutions, including model and data integration, prompt orchestration, evaluation and AI operations for intelligent & autonomous enterprise. Define AI strategies, operating models, platform roadmaps, reference architectures and reusable patterns that convert business opportunities into executable transformation plans. Embed responsible AI, model governance, security, privacy, observability, resilience and cost controls into solution design and delivery. Guide AI solutions from proof of concept to secure, scalable production deployment with clear evaluation criteria and measurable business outcomes. Mentor architects and engineering teams in AI architecture, design, evaluation and client-facing technical leadership. Advisory Advise executives on technology strategy, operating-model implications and transformation priorities, including high-value AI opportunities. Lead discovery sessions, executive workshops, maturity assessments and option analyses that convert strategic objectives into practical investment roadmaps and value propositions. Present concise decision papers covering business value, investment choices, risks and trade-offs; challenge assumptions constructively and build executive alignment. Track market, industry and technology developments and adapt recommendations as client needs, regulations and ecosystem conditions evolve. Technology Ownership Own architecture outcomes for assigned accounts, domains and programmes, including strategic options, target-state decisions and delivery alignment. Lead Architecture Review Board activities and governance gates; maintain decision records, architecture contracts and traceability, and manage compliance, exceptions and waivers. Ensure target architectures are translated into funded and executable portfolios, with adoption, conformance, benefits and outcome tracking through delivery. Provide portfolio assurance across dependencies, interoperability, cyber risk, data sovereignty, regulatory compliance, resilience, technical debt and lifecycle health. Lead selected innovation initiatives and continuously improve EA effectiveness, maturity, methods and governance. Collaboration Influence without direct authority across client, SI, partner and vendor organisations, aligning business, sales, product, data, security, engineering and delivery leaders. Facilitate cross-domain and cross-cultural workshops, reconcile competing concerns, document trade-offs and secure agreement on principles, target states and priorities. Convert architecture commitments into executable delivery plans across distributed global teams while balancing strategic alignment, feasibility and stakeholder needs. Develop reusable consulting assets, industry viewpoints, reference architectures and accelerators, and contribute to the architecture community and thought leadership. Qualifications Bachelor's or Master's degree in Computer Science, Information Technology or a related discipline. 15+ years of technology experience, including 6-8+ years in enterprise or solution architecture within a global SI, leading consultancy or complex multinational enterprise. Demonstrated success leading executive advisory engagements, transformation programmes, technology account planning and strategic pursuits from discovery through delivery and value realisation. Strong architecture experience across distributed systems, integration, APIs, microservices, cloud, data, security, DevOps, resilience and performance engineering. Hands-on understanding of AI/ML platforms, GenAI and Agentic AI patterns, enterprise data foundations, model integration, RAG, evaluation, AI operations and responsible AI. Proficiency in TOGAF ADM and enterprise modelling; familiarity with LeanIX or similar EA tools, multi-vendor ecosystems and vendor/platform selection is desirable. Strong commercial judgement covering business value, investment options, total cost of ownership, deal economics, risk and architecture trade-offs. Excellent executive communication, storytelling, facilitation, negotiation and stakeholder-management skills, with proven ability to influence globally distributed teams without direct authority. Understanding of cyber security, privacy, regulatory compliance, data governance, sovereignty, operational resilience and sustainability. Preferred: TOGAF or equivalent EA certification; Agile/DevOps experience; and industry knowledge in Financial Services, Insurance, Travel and Transport, or other large-scale enterprise sectors.
11/14/2026
Full time
Job Description Job Title / Role: Enterprise Architect Key Skills: Enterprise Architecture, TOGAF, Agentic AI Architecture, Cloud Architecture Experience: 15+ Location: San Deigo CA Shift: General Mode: Remote We at Coforge are seeking "Enterprise Architect" with the following skill set: Key Responsibilities The Enterprise Architect is a senior consulting leader and trusted technology advisor who connects client business strategy with executable transformation, shapes commercially viable opportunities, and governs architecture outcomes across complex global ecosystems. Act as the trusted technology and AI advisor for assigned accounts, build C-suite relationships, lead discovery and maturity assessments, and provide independent, outcome-focused recommendations. Partner with account and sales leaders on account plans, opportunity identification, deal shaping, proposals and executive presentations while maintaining advisory integrity and ensuring appropriate AI interventions are included. Lead architecture and AI solutioning for strategic pursuits and transformation programmes, ensuring alignment with business objectives, enterprise principles and measurable value. Mentor Solution Architects, assure architecture and design quality, and provide senior technical leadership to resolve critical client and delivery issues. Architecture Development Define and maintain enterprise architecture principles, standards, reference architectures, reusable building blocks and governance across business, data, application and technology domains. Assess business strategy, operating models and the technology estate; develop capability maps, value streams, baseline and target architectures, transition states and pragmatic roadmaps. Apply a tailored method such as TOGAF ADM or Zachman framework, where appropriate, to organise viewpoints, assure completeness and maintain traceability. Translate target architectures into investment priorities, transformation increments, adoption plans and measurable benefits, KPIs and business outcomes. Develop enterprise and solution architectures for modernisation, cloud, integration, data and AI platforms, balancing reuse, interoperability, security, scalability, resilience, sustainability and cost. Guide build, buy and partner decisions, vendor and platform selection, and multi-vendor ecosystem integration while managing lock-in, sovereignty and regulatory considerations. Design for federated, multi-geography enterprises and global delivery models, recognising local regulations, organisational constraints and cultural differences. AI Expertise Architect enterprise AI, GenAI and Agentic AI solutions, including model and data integration, prompt orchestration, evaluation and AI operations for intelligent & autonomous enterprise. Define AI strategies, operating models, platform roadmaps, reference architectures and reusable patterns that convert business opportunities into executable transformation plans. Embed responsible AI, model governance, security, privacy, observability, resilience and cost controls into solution design and delivery. Guide AI solutions from proof of concept to secure, scalable production deployment with clear evaluation criteria and measurable business outcomes. Mentor architects and engineering teams in AI architecture, design, evaluation and client-facing technical leadership. Advisory Advise executives on technology strategy, operating-model implications and transformation priorities, including high-value AI opportunities. Lead discovery sessions, executive workshops, maturity assessments and option analyses that convert strategic objectives into practical investment roadmaps and value propositions. Present concise decision papers covering business value, investment choices, risks and trade-offs; challenge assumptions constructively and build executive alignment. Track market, industry and technology developments and adapt recommendations as client needs, regulations and ecosystem conditions evolve. Technology Ownership Own architecture outcomes for assigned accounts, domains and programmes, including strategic options, target-state decisions and delivery alignment. Lead Architecture Review Board activities and governance gates; maintain decision records, architecture contracts and traceability, and manage compliance, exceptions and waivers. Ensure target architectures are translated into funded and executable portfolios, with adoption, conformance, benefits and outcome tracking through delivery. Provide portfolio assurance across dependencies, interoperability, cyber risk, data sovereignty, regulatory compliance, resilience, technical debt and lifecycle health. Lead selected innovation initiatives and continuously improve EA effectiveness, maturity, methods and governance. Collaboration Influence without direct authority across client, SI, partner and vendor organisations, aligning business, sales, product, data, security, engineering and delivery leaders. Facilitate cross-domain and cross-cultural workshops, reconcile competing concerns, document trade-offs and secure agreement on principles, target states and priorities. Convert architecture commitments into executable delivery plans across distributed global teams while balancing strategic alignment, feasibility and stakeholder needs. Develop reusable consulting assets, industry viewpoints, reference architectures and accelerators, and contribute to the architecture community and thought leadership. Qualifications Bachelor's or Master's degree in Computer Science, Information Technology or a related discipline. 15+ years of technology experience, including 6-8+ years in enterprise or solution architecture within a global SI, leading consultancy or complex multinational enterprise. Demonstrated success leading executive advisory engagements, transformation programmes, technology account planning and strategic pursuits from discovery through delivery and value realisation. Strong architecture experience across distributed systems, integration, APIs, microservices, cloud, data, security, DevOps, resilience and performance engineering. Hands-on understanding of AI/ML platforms, GenAI and Agentic AI patterns, enterprise data foundations, model integration, RAG, evaluation, AI operations and responsible AI. Proficiency in TOGAF ADM and enterprise modelling; familiarity with LeanIX or similar EA tools, multi-vendor ecosystems and vendor/platform selection is desirable. Strong commercial judgement covering business value, investment options, total cost of ownership, deal economics, risk and architecture trade-offs. Excellent executive communication, storytelling, facilitation, negotiation and stakeholder-management skills, with proven ability to influence globally distributed teams without direct authority. Understanding of cyber security, privacy, regulatory compliance, data governance, sovereignty, operational resilience and sustainability. Preferred: TOGAF or equivalent EA certification; Agile/DevOps experience; and industry knowledge in Financial Services, Insurance, Travel and Transport, or other large-scale enterprise sectors.
LexisNexis Legal & Professional
Raleigh, North Carolina
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Are you excited to lead the development of next-generation AI-powered legal solutions that help professionals draft, reason, and work more effectively with complex legal information? Do you thrive at the intersection of people leadership, large language models, retrieval-augmented generation, and product innovation, turning emerging AI capabilities into meaningful customer outcomes ? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About LexisNexis Data Sciences: At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs), retrieval-augmented generation (RAG), and agentic systems to build tools that analyze, draft, and reason with legal text. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence. Role Overview: We are seeking a Manager of Data Science to lead a high-impact team focused on building intelligent systems powered by LLMs and RAG architectures. This role will focus on improving LLM-powered drafting and retrieval solutions through advanced search, embeddings, reranking, evaluation, and production-grade ML components. You'll drive the strategy, technical execution, and team growth necessary to build next-generation legal assistants, capable of contextual document drafting, and interaction with structured and unstructured data sources. Key Responsibilities: Vision & Strategy: Define the roadmap for applying LLMs and agentic AI to real-world legal drafting. Evangelize and embed AI-driven change across legal product platforms. Translate evolving generative AI capabilities into tangible customer value within the legal domain. Technical & Product Leadership: Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge. Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs. Team & Operational Excellence: Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers. Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design. Establish best practices for evaluation, observability, and responsible use of generative AI. Core Qualifications: Experience Previous people management experience (3+ years) of teams building LLM-based applications, especially in domains requiring rigor and traceability like legal, finance, or compliance. Hands-on experience delivering systems using LangChain, LLM agent frameworks, vector databases, and prompt orchestration pipelines. Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses. Demonstrated success in taking LLM-powered applications from prototype to production. Technical Proficiency Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques. Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures. Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve). Cloud infrastructure experience on AWS, Azure, or GCP. Preferred Background Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience. 6 years of post-degree experience, with 3+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems. Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable. Familiarity with ethical/legal considerations in deploying generative AI in professional settings. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .
11/14/2026
Full time
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Are you excited to lead the development of next-generation AI-powered legal solutions that help professionals draft, reason, and work more effectively with complex legal information? Do you thrive at the intersection of people leadership, large language models, retrieval-augmented generation, and product innovation, turning emerging AI capabilities into meaningful customer outcomes ? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About LexisNexis Data Sciences: At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs), retrieval-augmented generation (RAG), and agentic systems to build tools that analyze, draft, and reason with legal text. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence. Role Overview: We are seeking a Manager of Data Science to lead a high-impact team focused on building intelligent systems powered by LLMs and RAG architectures. This role will focus on improving LLM-powered drafting and retrieval solutions through advanced search, embeddings, reranking, evaluation, and production-grade ML components. You'll drive the strategy, technical execution, and team growth necessary to build next-generation legal assistants, capable of contextual document drafting, and interaction with structured and unstructured data sources. Key Responsibilities: Vision & Strategy: Define the roadmap for applying LLMs and agentic AI to real-world legal drafting. Evangelize and embed AI-driven change across legal product platforms. Translate evolving generative AI capabilities into tangible customer value within the legal domain. Technical & Product Leadership: Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge. Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs. Team & Operational Excellence: Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers. Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design. Establish best practices for evaluation, observability, and responsible use of generative AI. Core Qualifications: Experience Previous people management experience (3+ years) of teams building LLM-based applications, especially in domains requiring rigor and traceability like legal, finance, or compliance. Hands-on experience delivering systems using LangChain, LLM agent frameworks, vector databases, and prompt orchestration pipelines. Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses. Demonstrated success in taking LLM-powered applications from prototype to production. Technical Proficiency Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques. Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures. Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve). Cloud infrastructure experience on AWS, Azure, or GCP. Preferred Background Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience. 6 years of post-degree experience, with 3+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems. Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable. Familiarity with ethical/legal considerations in deploying generative AI in professional settings. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .
AI Engineer 3 (AI Foundations) 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 This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. 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. R AI Engineer 3 (AI Foundations) 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. 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).
11/14/2026
Full time
AI Engineer 3 (AI Foundations) 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 This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. 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. R AI Engineer 3 (AI Foundations) 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. 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 (AI Foundations) 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 This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. 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. R AI Engineer 3 (AI Foundations) 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. 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).
11/14/2026
Full time
AI Engineer 3 (AI Foundations) 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 This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. 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. R AI Engineer 3 (AI Foundations) 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. 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).
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Software Applications Engineer Description - Fort Collins, Colorado SPONSORSHIP : This opportunity is intended for conversion to a full-time role that will not offer work authorization sponsorship in the future (full-time conversion pending performance evaluation post internship and available headcount). Interested candidates must be currently eligible to work in the US AND must not require work authorization sponsorship in the future. HP, Inc. will not provide any assistance or sign documentation in support of immigration sponsorship including Curricular Practical Training (CPT) or Optional Practical Training (OPT). About Us Innovation is in HP's DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world's leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe. HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze. The Team: ACS (Advanced Compute & Solutions) is seeking a motivated Software Engineer who is eager to learn and grow in a collaborative, customer-focused environment. The ideal candidate will work closely with senior engineers and cross-functional teams to support technical solutions and customer engagements. You should be comfortable learning and explain technical concepts to both technical and non-technical audiences, collaborate with internal teams, business partners, and contribute to the development and implementation of innovative solutions. Responsibilities: Help build secure new solutions and enhance existing features in our applications. Support development, testing, and deployment of identity services and integrations with external identity providers. Work with senior engineers to troubleshoot and harden authentication flows. Use AI coding assistants and agentic tools to speed up development, testing, and documentation, and review their output for correctness and security. Assist with AI-enabled automation and secure integrations with AI services. Contribute to documentation and best practices across our identity systems. Education and Experience Required : Has completed or is in the process of completing a university degree or higher (bachelor's degree or equivalent) Has completed the degree prior to the start date Has no more than 24 months of prior work experience professionally related to the graduate hire requisition they are applying to (not including internships, teaching assistance, research work, or military experience) No more than 12 months since graduation from a university program Able to obtain work authorization in the United States without requiring sponsorship in the future. Preferred Majors: Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent experience). Preferred Knowledge and Skills: Programming experience in Python, Java, Go, or C++. Basic understanding of REST APIs, HTTP, JWTs, and authentication flows. Foundational knowledge of OAuth 2.0, OpenID Connect (OIDC), and SSO. Exposure to security fundamentals such as TLS, certificates, and firewalls. Hands-on use of AI tools (e.g., Claude, GitHub Copilot, ChatGPT) for coding or projects, plus awareness of AI security risks like prompt injection and data leakage. Strong communication skills and comfort working on a collaborative Agile team. Internship, co-op, or class project involving authentication or identity provider integration. Experience building with LLM APIs, or securing access for AI agents and tools (e.g., OAuth for MCP servers) - this one is an extreme plus! Show us your code, your applications, your github! Familiarity with Microsoft Entra (Azure AD), including app registrations and conditional access. Coursework or certifications in IAM, cloud, or AI (e.g., Microsoft SC-900, AZ-900). We are looking for visionaries who are ready to make an impact on the way the world works. At HP, the future is yours to create. Thanks for taking the time to review our job, if you think it is a match to your knowledge and interests please apply today- we are eager to learn more about you. HP is an equal opportunity employer: Job Posting Expiration Date: 1/3/2027 The pay range for this role is $65,600 to $101,000 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Explore HP Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/14/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Software Applications Engineer Description - Fort Collins, Colorado SPONSORSHIP : This opportunity is intended for conversion to a full-time role that will not offer work authorization sponsorship in the future (full-time conversion pending performance evaluation post internship and available headcount). Interested candidates must be currently eligible to work in the US AND must not require work authorization sponsorship in the future. HP, Inc. will not provide any assistance or sign documentation in support of immigration sponsorship including Curricular Practical Training (CPT) or Optional Practical Training (OPT). About Us Innovation is in HP's DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world's leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe. HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze. The Team: ACS (Advanced Compute & Solutions) is seeking a motivated Software Engineer who is eager to learn and grow in a collaborative, customer-focused environment. The ideal candidate will work closely with senior engineers and cross-functional teams to support technical solutions and customer engagements. You should be comfortable learning and explain technical concepts to both technical and non-technical audiences, collaborate with internal teams, business partners, and contribute to the development and implementation of innovative solutions. Responsibilities: Help build secure new solutions and enhance existing features in our applications. Support development, testing, and deployment of identity services and integrations with external identity providers. Work with senior engineers to troubleshoot and harden authentication flows. Use AI coding assistants and agentic tools to speed up development, testing, and documentation, and review their output for correctness and security. Assist with AI-enabled automation and secure integrations with AI services. Contribute to documentation and best practices across our identity systems. Education and Experience Required : Has completed or is in the process of completing a university degree or higher (bachelor's degree or equivalent) Has completed the degree prior to the start date Has no more than 24 months of prior work experience professionally related to the graduate hire requisition they are applying to (not including internships, teaching assistance, research work, or military experience) No more than 12 months since graduation from a university program Able to obtain work authorization in the United States without requiring sponsorship in the future. Preferred Majors: Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent experience). Preferred Knowledge and Skills: Programming experience in Python, Java, Go, or C++. Basic understanding of REST APIs, HTTP, JWTs, and authentication flows. Foundational knowledge of OAuth 2.0, OpenID Connect (OIDC), and SSO. Exposure to security fundamentals such as TLS, certificates, and firewalls. Hands-on use of AI tools (e.g., Claude, GitHub Copilot, ChatGPT) for coding or projects, plus awareness of AI security risks like prompt injection and data leakage. Strong communication skills and comfort working on a collaborative Agile team. Internship, co-op, or class project involving authentication or identity provider integration. Experience building with LLM APIs, or securing access for AI agents and tools (e.g., OAuth for MCP servers) - this one is an extreme plus! Show us your code, your applications, your github! Familiarity with Microsoft Entra (Azure AD), including app registrations and conditional access. Coursework or certifications in IAM, cloud, or AI (e.g., Microsoft SC-900, AZ-900). We are looking for visionaries who are ready to make an impact on the way the world works. At HP, the future is yours to create. Thanks for taking the time to review our job, if you think it is a match to your knowledge and interests please apply today- we are eager to learn more about you. HP is an equal opportunity employer: Job Posting Expiration Date: 1/3/2027 The pay range for this role is $65,600 to $101,000 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Explore HP Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Team: The Strategy, Innovation & Planning (SIP) team serves as Invesco's central AI hub, focused on advancing innovation and delivering impactful AI solutions across the firm. Our team is focused on rapid experimentation using new AI tools and technologies to solve business problems. We are focused on using various agentic frameworks and building business-sponsored GenAI use cases that drive operational efficiency. Beyond product development, SIP actively fosters AI adoption across Invesco through initiatives such as AI/ML Meetups, hackathons, and cross-team collaborations. About the Role: As Software Engineer on the SIP team, you will help design, build, and scale next-generation AI applications that solve complex business problems. You will work in a highly collaborative, agile environment with a startup mindset-focused on rapid experimentation, continuous learning, and hands-on engineering. This role is designed for a creative technologist who views AI tools (like GitHub Copilot, Cursor, or LLM APIs) or Agentic Frameworks (Microsoft Copilot Studio, AgentCore/Strands, LangGraph etc.) as fundamental to their workflow, enabling them to contribute directly to the future of AI at Invesco. Responsibilities of the Role: Collaborating with data scientists, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources. Rapidly prototyping new and innovative solutions alongside experienced developers, using AI-assisted coding to accelerate the "idea-to-MVP" cycle. Developing and refining Invesco's Generative AI platform by creating system prompts, implementing agentic workflows and LLM-integrated features. Coding and delivering cloud-native microservices and micro-UI components that integrate seamlessly with AI orchestration layers. Building validations, evaluations and guardrails on selected agent frameworks for custom agents built for various business use cases Applying "AI-first" engineering principles to find creative solutions to the unique architectural challenges encountered when scaling agentic systems. Working at speed to show measurable value per sprint, maintaining high code quality through modern automation and testing. Requirements of the Role: Creative Problem Solver: 0-2 years of experience with a portfolio of projects (professional or personal) that demonstrate an ability to build functional, creative web applications. Modern Tech Stack: Foundational proficiency in Python (for AI/Backend) and TypeScript/React (for Frontend). AI Native Workflow: High level of comfort using AI coding assistants and LLMs to debug, document, and write boilerplate code efficiently. Architectural Curiosity: Exposure to (or a strong desire to learn) LangGraph, LangChain, and agentic design patterns. Cloud & DevOps Foundations: Familiarity with containerized environments (Docker), Git version control, and basic cloud concepts (AWS or Azure). Agile Mindset: A proactive learner who thrives in a fast-paced, value-driven environment and is comfortable experimenting with emerging technologies. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
11/13/2026
Full time
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Team: The Strategy, Innovation & Planning (SIP) team serves as Invesco's central AI hub, focused on advancing innovation and delivering impactful AI solutions across the firm. Our team is focused on rapid experimentation using new AI tools and technologies to solve business problems. We are focused on using various agentic frameworks and building business-sponsored GenAI use cases that drive operational efficiency. Beyond product development, SIP actively fosters AI adoption across Invesco through initiatives such as AI/ML Meetups, hackathons, and cross-team collaborations. About the Role: As Software Engineer on the SIP team, you will help design, build, and scale next-generation AI applications that solve complex business problems. You will work in a highly collaborative, agile environment with a startup mindset-focused on rapid experimentation, continuous learning, and hands-on engineering. This role is designed for a creative technologist who views AI tools (like GitHub Copilot, Cursor, or LLM APIs) or Agentic Frameworks (Microsoft Copilot Studio, AgentCore/Strands, LangGraph etc.) as fundamental to their workflow, enabling them to contribute directly to the future of AI at Invesco. Responsibilities of the Role: Collaborating with data scientists, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources. Rapidly prototyping new and innovative solutions alongside experienced developers, using AI-assisted coding to accelerate the "idea-to-MVP" cycle. Developing and refining Invesco's Generative AI platform by creating system prompts, implementing agentic workflows and LLM-integrated features. Coding and delivering cloud-native microservices and micro-UI components that integrate seamlessly with AI orchestration layers. Building validations, evaluations and guardrails on selected agent frameworks for custom agents built for various business use cases Applying "AI-first" engineering principles to find creative solutions to the unique architectural challenges encountered when scaling agentic systems. Working at speed to show measurable value per sprint, maintaining high code quality through modern automation and testing. Requirements of the Role: Creative Problem Solver: 0-2 years of experience with a portfolio of projects (professional or personal) that demonstrate an ability to build functional, creative web applications. Modern Tech Stack: Foundational proficiency in Python (for AI/Backend) and TypeScript/React (for Frontend). AI Native Workflow: High level of comfort using AI coding assistants and LLMs to debug, document, and write boilerplate code efficiently. Architectural Curiosity: Exposure to (or a strong desire to learn) LangGraph, LangChain, and agentic design patterns. Cloud & DevOps Foundations: Familiarity with containerized environments (Docker), Git version control, and basic cloud concepts (AWS or Azure). Agile Mindset: A proactive learner who thrives in a fast-paced, value-driven environment and is comfortable experimenting with emerging technologies. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 12 About the Role: The Team: The Enterprise Solutions business within S&P Global Market Intelligence provides industry-leading data, software, and services that support investment management, enterprise data management, regulatory compliance, and private markets solutions. The Private Markets product team is responsible for products that support the entire investment lifecycle across Private Equity, Venture Capital, Real Estate, Infrastructure, and Private Credit markets. As part of the flagship iLEVEL product organization, you will work with a highly collaborative team of product leaders, technology professionals, and market experts focused on delivering innovative solutions for investment professionals. The team values customer-centricity, innovation, execution excellence, and continuous learning. Responsibilities and Impact: We are seeking a Lead Product Manager to drive our MCP & AI Agents Platform initiatives. This leader will own the vision, strategy, and execution for both the MCP connector ecosystem, enabling seamless integration of private markets data and content sources, and the AI Analyst capabilities being developed within our flagship iLEVEL platform. As a Lead Product Manager, you'll lead zero-to-one product efforts, building and scaling net new product offerings in a high growth, fast moving environment - leveraging the latest and greatest in agents, agentic workflows, and LLMs to build transformative new products that deliver value to clients. This role will require working closely with engineering, design, product, data science, marketing, go-to-market to drive new AI products to success. This is a highly cross-functional and visible role suited for a hands-on builder who thrives at the intersection of AI, customer-centric product development, and financial technology. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $101,000 to $175,000. Final base salary for this role will be based on the individual's geographic location, experience level, skill set, training, licenses, and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: Experience in FinTech, AI, or other technology-driven environments, with a track record of launching and scaling products. Hands-on AI product builder with experience applying new AI technologies, including LLMs, agents, retrieval systems, and modern AI development tools. Strategic and customer-focused thinker who can develop deep domain expertise, simplify complex problems, and translate insights into impactful product strategies. Strong product operator skilled in agile delivery, product requirements, data-driven decision-making, KPI management, and cross-functional execution. Additional Preferred Qualifications: Exceptional communicator and collaborator who thrives in fast-paced, ambiguous environments and can align Product, Engineering, Design, and Go-to-Market teams around a shared vision. Experience working in a Private Markets product team. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal - 20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 12 About the Role: The Team: The Enterprise Solutions business within S&P Global Market Intelligence provides industry-leading data, software, and services that support investment management, enterprise data management, regulatory compliance, and private markets solutions. The Private Markets product team is responsible for products that support the entire investment lifecycle across Private Equity, Venture Capital, Real Estate, Infrastructure, and Private Credit markets. As part of the flagship iLEVEL product organization, you will work with a highly collaborative team of product leaders, technology professionals, and market experts focused on delivering innovative solutions for investment professionals. The team values customer-centricity, innovation, execution excellence, and continuous learning. Responsibilities and Impact: We are seeking a Lead Product Manager to drive our MCP & AI Agents Platform initiatives. This leader will own the vision, strategy, and execution for both the MCP connector ecosystem, enabling seamless integration of private markets data and content sources, and the AI Analyst capabilities being developed within our flagship iLEVEL platform. As a Lead Product Manager, you'll lead zero-to-one product efforts, building and scaling net new product offerings in a high growth, fast moving environment - leveraging the latest and greatest in agents, agentic workflows, and LLMs to build transformative new products that deliver value to clients. This role will require working closely with engineering, design, product, data science, marketing, go-to-market to drive new AI products to success. This is a highly cross-functional and visible role suited for a hands-on builder who thrives at the intersection of AI, customer-centric product development, and financial technology. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $101,000 to $175,000. Final base salary for this role will be based on the individual's geographic location, experience level, skill set, training, licenses, and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: Experience in FinTech, AI, or other technology-driven environments, with a track record of launching and scaling products. Hands-on AI product builder with experience applying new AI technologies, including LLMs, agents, retrieval systems, and modern AI development tools. Strategic and customer-focused thinker who can develop deep domain expertise, simplify complex problems, and translate insights into impactful product strategies. Strong product operator skilled in agile delivery, product requirements, data-driven decision-making, KPI management, and cross-functional execution. Additional Preferred Qualifications: Exceptional communicator and collaborator who thrives in fast-paced, ambiguous environments and can align Product, Engineering, Design, and Go-to-Market teams around a shared vision. Experience working in a Private Markets product team. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal - 20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Principal Enterprise Integration and Platform Native AI Description - Role Summary We are seeking an exceptional Principal Enterprise Integration & AI to lead HP's enterprise integration and AI architecture at global scale. This role serves as a technical authority, strategic thought leader, and innovation driver , responsible for shaping HP's integration fabric, API economy, and AI enablement strategy across Digital Tech. The Distinguished Engineer will define long-term architecture vision, influence enterprise-wide technology decisions, and ensure scalable, secure, and AI-ready platforms that accelerate business outcomes. This role operates at the intersection of integration, APIs, data, and AI , driving foundational capabilities that power HP's digital transformation and agentic AI future. Key Responsibilities API & AI-First API Strategy and Governance Define and lead HP's AI-first API strategy , ensuring all enterprise APIs are discoverable, reusable, and optimized for machine and agent consumption Institutionalize the API-as-a-Product operating model, with clear ownership, lifecycle governance, and measurable business value Own and enforce enterprise-wide API governance standards, covering design, lifecycle, security, and AI readiness Define and operationalize the AI-Ready API Framework , including automated governance gates to ensure production readiness Enable HP's Unified API & Agentic AI Strategy , positioning APIs as the foundation for enterprise AI adoption Establish standards for emerging integration paradigms, including event-driven architectures and MCP (Model Context Protocol) Platform AI Enablement & Governance Orchestrate AI enablement and adoption across strategic platforms (SAP, ServiceNow, Adobe, MuleSoft, NOVA) Own the enterprise AI/ML governance process, including AI board reviews, privacy, risk, and cybersecurity compliance Evaluate and guide platform-native AI capabilities to ensure alignment with enterprise architecture and compliance requirements Lead cross-functional AI enablement initiatives to drive consistent adoption and measurable business outcomes Align platform AI initiatives with enterprise prioritization frameworks (e.g., Digital AI Nerve Center) Evaluate AI tooling, vendor solutions, and partner ecosystems for alignment with integration and platform strategy Enable AI-driven SDLC adoption for partner ecosystems (e.g., NOVA vendors), including onboarding, compliance, and knowledge integration Lead/ support key tech initiatives Lead evaluation of new and emerging tech, conduct POC, and lay down path for adoption. Lead the EPS AI initiatives through AI/ML review board and cyber approval process. Partner with Applied AI teams for knowledge sharing of Enterprise AI initiatives Coach and mentor teams in their AI journey Improve reuse, reduce duplication, and strengthen governance via API-as-a-product discipline Enable scalable, enterprise-grade AI products (e.g., IBDF, AIOps) delivering measurable business value Qualifications & Experience 10+ years of experience in enterprise architecture, integration, and platform engineering Proven track record defining and implementing enterprise integration strategies and API ecosystems at scale Deep expertise in integration patterns (event-driven, messaging, APIs, microservices) and cloud-native architectures Experience leading AI/ML enablement, governance, and platform integration in large enterprises Strong understanding of enterprise platforms (SAP, ServiceNow, Adobe, MuleSoft) and their AI capabilities Demonstrated ability to influence executive stakeholders and drive cross-functional alignment Recognized as a thought leader and technical authority , with experience mentoring senior architects and engineers Leadership Expectations Act as a trusted advisor to executive leadership on enterprise architecture and AI strategy Drive innovation by identifying emerging technologies and translating them into enterprise capabilities Mentor and elevate the technical community, fostering architectural excellence across HP Represent HP externally with partners, customers, and industry forums as a leader in integration and AI Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 10+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. Preferred Certifications Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope Impacts multiple functions and influences long-term strategic direction across multiple disciplines or areas of HP. Complexity Invents, develops and introduces new methods and techniques that impact multiple disciplines and work groups. Pay & Benefits The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/13/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Principal Enterprise Integration and Platform Native AI Description - Role Summary We are seeking an exceptional Principal Enterprise Integration & AI to lead HP's enterprise integration and AI architecture at global scale. This role serves as a technical authority, strategic thought leader, and innovation driver , responsible for shaping HP's integration fabric, API economy, and AI enablement strategy across Digital Tech. The Distinguished Engineer will define long-term architecture vision, influence enterprise-wide technology decisions, and ensure scalable, secure, and AI-ready platforms that accelerate business outcomes. This role operates at the intersection of integration, APIs, data, and AI , driving foundational capabilities that power HP's digital transformation and agentic AI future. Key Responsibilities API & AI-First API Strategy and Governance Define and lead HP's AI-first API strategy , ensuring all enterprise APIs are discoverable, reusable, and optimized for machine and agent consumption Institutionalize the API-as-a-Product operating model, with clear ownership, lifecycle governance, and measurable business value Own and enforce enterprise-wide API governance standards, covering design, lifecycle, security, and AI readiness Define and operationalize the AI-Ready API Framework , including automated governance gates to ensure production readiness Enable HP's Unified API & Agentic AI Strategy , positioning APIs as the foundation for enterprise AI adoption Establish standards for emerging integration paradigms, including event-driven architectures and MCP (Model Context Protocol) Platform AI Enablement & Governance Orchestrate AI enablement and adoption across strategic platforms (SAP, ServiceNow, Adobe, MuleSoft, NOVA) Own the enterprise AI/ML governance process, including AI board reviews, privacy, risk, and cybersecurity compliance Evaluate and guide platform-native AI capabilities to ensure alignment with enterprise architecture and compliance requirements Lead cross-functional AI enablement initiatives to drive consistent adoption and measurable business outcomes Align platform AI initiatives with enterprise prioritization frameworks (e.g., Digital AI Nerve Center) Evaluate AI tooling, vendor solutions, and partner ecosystems for alignment with integration and platform strategy Enable AI-driven SDLC adoption for partner ecosystems (e.g., NOVA vendors), including onboarding, compliance, and knowledge integration Lead/ support key tech initiatives Lead evaluation of new and emerging tech, conduct POC, and lay down path for adoption. Lead the EPS AI initiatives through AI/ML review board and cyber approval process. Partner with Applied AI teams for knowledge sharing of Enterprise AI initiatives Coach and mentor teams in their AI journey Improve reuse, reduce duplication, and strengthen governance via API-as-a-product discipline Enable scalable, enterprise-grade AI products (e.g., IBDF, AIOps) delivering measurable business value Qualifications & Experience 10+ years of experience in enterprise architecture, integration, and platform engineering Proven track record defining and implementing enterprise integration strategies and API ecosystems at scale Deep expertise in integration patterns (event-driven, messaging, APIs, microservices) and cloud-native architectures Experience leading AI/ML enablement, governance, and platform integration in large enterprises Strong understanding of enterprise platforms (SAP, ServiceNow, Adobe, MuleSoft) and their AI capabilities Demonstrated ability to influence executive stakeholders and drive cross-functional alignment Recognized as a thought leader and technical authority , with experience mentoring senior architects and engineers Leadership Expectations Act as a trusted advisor to executive leadership on enterprise architecture and AI strategy Drive innovation by identifying emerging technologies and translating them into enterprise capabilities Mentor and elevate the technical community, fostering architectural excellence across HP Represent HP externally with partners, customers, and industry forums as a leader in integration and AI Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 10+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. Preferred Certifications Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope Impacts multiple functions and influences long-term strategic direction across multiple disciplines or areas of HP. Complexity Invents, develops and introduces new methods and techniques that impact multiple disciplines and work groups. Pay & Benefits The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders. Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, CI/CD, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations. Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation. Connect the two halves into a single agentic PDLC, establishing the traceable thread from customer insight to opportunity, specification, design, commit, release, and in-market outcome, so that product intent, engineering work, and measured impact reconcile in one system of record rather than in status decks. Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership. Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements. Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across both the product and engineering estates, reducing duplication while managing transitions without disrupting delivery. Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation. Own advocacy and community across both disciplines, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it. Own the innersource ecosystem, applying open-source working practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption. Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool ROI, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting. Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy. Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the trade-offs accepted on risk, cost, and developer experience. Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led a globally distributed organization spanning platform engineering, product management, developer support, and analytics. Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders. Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, CI/CD, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations. Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation. Connect the two halves into a single agentic PDLC, establishing the traceable thread from customer insight to opportunity, specification, design, commit, release, and in-market outcome, so that product intent, engineering work, and measured impact reconcile in one system of record rather than in status decks. Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership. Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements. Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across both the product and engineering estates, reducing duplication while managing transitions without disrupting delivery. Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation. Own advocacy and community across both disciplines, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it. Own the innersource ecosystem, applying open-source working practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption. Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool ROI, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting. Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy. Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the trade-offs accepted on risk, cost, and developer experience. Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led a globally distributed organization spanning platform engineering, product management, developer support, and analytics. Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), reinforcement learning, and generative AI. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development Troubleshoot and debug complex issues; identify and implement solutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments 3+ years of professional, design, and open-source experience Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5 years of full Software Development Life Cycle (SDLC) experience Prior experience designing and building agentic systems Prior experience developing and implementing AI solutions using Large-Language Models (LLMs) Airline or transport industry experience is a plus Skills, Licenses & Certifications Practical understanding of transformer architectures and how modern LLMs work Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool-calling patterns, or equivalent internal frameworks Proficiency in prompt engineering: systematic prompt design, few-shot learning, chain-of-thought, and prompt optimization for foundation models Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) and RAG architecture patterns Experience with LLM evaluation methods, including LLM-as-a-judge, automated benchmarking, and regression testing for model outputs Proficiency in post-deployment model maintenance, including observability, monitoring, cost optimization, and drift detection Experience developing and implementing governance frameworks and controls for responsible AI Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) is a plus Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics Strong proficiency in Python; working knowledge of Java or another enterprise language Proficiency in object-oriented design techniques and principles Experience with cloud platforms (Azure, AWS, or GCP) and cloud-native development patterns Experience with CI/CD pipelines and DevOps toolchain: Git, GitHub, Jenkins, ADO Pipelines, or equivalent Experience with RESTful API design and integration patterns (JSON, microservices) Experience in Agile methodologies, such as SCRUM What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
11/13/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), reinforcement learning, and generative AI. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development Troubleshoot and debug complex issues; identify and implement solutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments 3+ years of professional, design, and open-source experience Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5 years of full Software Development Life Cycle (SDLC) experience Prior experience designing and building agentic systems Prior experience developing and implementing AI solutions using Large-Language Models (LLMs) Airline or transport industry experience is a plus Skills, Licenses & Certifications Practical understanding of transformer architectures and how modern LLMs work Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool-calling patterns, or equivalent internal frameworks Proficiency in prompt engineering: systematic prompt design, few-shot learning, chain-of-thought, and prompt optimization for foundation models Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) and RAG architecture patterns Experience with LLM evaluation methods, including LLM-as-a-judge, automated benchmarking, and regression testing for model outputs Proficiency in post-deployment model maintenance, including observability, monitoring, cost optimization, and drift detection Experience developing and implementing governance frameworks and controls for responsible AI Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) is a plus Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics Strong proficiency in Python; working knowledge of Java or another enterprise language Proficiency in object-oriented design techniques and principles Experience with cloud platforms (Azure, AWS, or GCP) and cloud-native development patterns Experience with CI/CD pipelines and DevOps toolchain: Git, GitHub, Jenkins, ADO Pipelines, or equivalent Experience with RESTful API design and integration patterns (JSON, microservices) Experience in Agile methodologies, such as SCRUM What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI AI Runtime & Performance Lead Description - As the Principal AI Runtime & Performance Lead, this role is responsible for leading AI runtime architecture, performance optimization, and xPU execution strategy. This role is responsible for the design of end-to-end technology solutions necessary to support the business strategy and objectives. The role develops innovative technology solutions that enable strategic initiatives to scale the business efficiently. The role has strong focus on software development and operational excellence using Agile and lean practices to create market differentiated solutions. Houston office in-office requirement: 4 days Responsibilities • Define runtime architecture. • Lead performance optimization efforts. • Drive benchmark methodology. • Develop model execution strategies. • Plays a critical role in building of various software development projects and platforms while aligning them with business and security strategies and requirements. • Leads the building of standards, designs, and automates the deployment of software. • Drives technology strategy and engineering roadmaps around software engineering. • Assists supervisors with project development, including documentation of features, recording of progress, and creation of the testing plan. • Converts business concepts into the next generation of applications and tools, utilizing adaptive agile methodologies to deliver a minimal viable product to the business. • Assists in scheduling, determining manpower requirements, and estimating costs to project completion in order to meet user requirements. • Contributes innovative ideas and may lead large cross-functional teams, exercising independent judgment to solve unique and complex problems impacting the business. • Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction. • Provides mentorship and guidance to lower-level employees. Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 10+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong Linux and Windows expertise. • Experience leading cross-functional engineering teams. Preferred Qualifications • Edge AI platforms. • Device telemetry systems. • Firmware integration experience. Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/13/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI AI Runtime & Performance Lead Description - As the Principal AI Runtime & Performance Lead, this role is responsible for leading AI runtime architecture, performance optimization, and xPU execution strategy. This role is responsible for the design of end-to-end technology solutions necessary to support the business strategy and objectives. The role develops innovative technology solutions that enable strategic initiatives to scale the business efficiently. The role has strong focus on software development and operational excellence using Agile and lean practices to create market differentiated solutions. Houston office in-office requirement: 4 days Responsibilities • Define runtime architecture. • Lead performance optimization efforts. • Drive benchmark methodology. • Develop model execution strategies. • Plays a critical role in building of various software development projects and platforms while aligning them with business and security strategies and requirements. • Leads the building of standards, designs, and automates the deployment of software. • Drives technology strategy and engineering roadmaps around software engineering. • Assists supervisors with project development, including documentation of features, recording of progress, and creation of the testing plan. • Converts business concepts into the next generation of applications and tools, utilizing adaptive agile methodologies to deliver a minimal viable product to the business. • Assists in scheduling, determining manpower requirements, and estimating costs to project completion in order to meet user requirements. • Contributes innovative ideas and may lead large cross-functional teams, exercising independent judgment to solve unique and complex problems impacting the business. • Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction. • Provides mentorship and guidance to lower-level employees. Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 10+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong Linux and Windows expertise. • Experience leading cross-functional engineering teams. Preferred Qualifications • Edge AI platforms. • Device telemetry systems. • Firmware integration experience. Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
