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!
Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform Engineering, Cloud Security, and Artificial Intelligence initiatives. Acting as a hands-on technical architect and strategic trailblazer, you will partner with key stakeholders to identify opportunities, translate ideas into actionable solutions, and deliver value through rapid proofs of concept. This role focuses heavily on designing, building, and scaling our next-generation cloud-native AI platforms, AI-powered log intelligence (AIOps), and semantic developer tooling. Location: This is a hybrid position requiring a minimum of three days per week on-site at either our Lincolnshire, IL, or Holtsville, NY office. Essential Duties/Responsabilities: Identify and evaluate emerging innovation opportunities across Platform Engineering and Cloud Infrastructure functions, matching business needs with cutting-edge technology solutions. Conduct comprehensive business and systems analyses, translating complex technical findings into clear user stories, system requirements, and actionable solution concepts. Coordinate and execute Proof of Concepts (PoCs) and hands-on delivery activities to rapidly validate and advance cloud and platform innovation initiatives. Research, analyze, and report on disruptive technologies-such as Generative AI, Machine Learning (ML), Robotic Process Automation (RPA), and Virtual Agents-providing strategic recommendations for corporate adoption. Act as the primary IT Cloud Innovation Liaison, driving cross-functional collaboration and alignment with other innovation and product teams across Zebra. Plan, coordinate, and facilitate structured ideation workshops, fostering a culture of collaborative brainstorming and innovative problem-solving. Serve as an active Innovation Evangelist within IT and the broader enterprise, promoting modern engineering methodologies and pushing the boundaries of cloud-native possibilities. Track, analyze, and report key performance indicators (KPIs), ensuring leadership has complete visibility into the progress, and business outcomes of all innovation initiatives. Establish and maintain a repeatable operating model for cloud-native AI/ML deployment, ensuring all initiatives consistently address pipeline architecture, performance metrics, and compliance guidelines across GCP and Azure. Lead and mentor a high-performing team of cloud and AI platform engineers, guiding their professional evolution toward predictive log analytics, automation (AIOps), and robust cloud data readiness. Translate complex AI governance, cloud security guardrails, and regulatory requirements into practical technical specifications, partnering directly with systems engineers to integrate PII masking and RBAC into automated CI/CD pipelines. Manage roadmap alignment within assigned technology portfolios. Minimum Qualifications: Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering, or related field. 5+ years experience working on an operations style team (NOC, SOC, MOC, etc.) and troubleshooting networking, service desk, operations center and/or supporting cloud based Infrastructure. Hands-on Google Gemini Enterprise Expertise: Demonstrated experience working with Google Gemini Enterprise, with a proven ability to build and deploy custom agents using the Agent Development Kit (ADK). Multi-Cloud & GenAI Platform Proficiency: Deep familiarity with leading cloud platforms and generative AI solution providers, including Google Cloud Platform (GCP), Azure, OpenAI, and Anthropic. Experience working in a global, heterogeneous, cloud and on-prem environment. Practical knowledge of, or deep technical curiosity to develop, hands-on solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and agentic AI patterns (including Model Context Protocol MCP , tool calling, and orchestration frameworks). Expertise in scripting or programming languages (e.g., Python) for automation or testing is a plus; software development background is welcomed. Proven track record of deploying containerized AI solutions using Kubernetes (GKE/AKS), Docker, and robust CI/CD pipelines, backed by verifiable metrics such as high availability, latency reduction, and infrastructure cost optimization. Comprehensive understanding of enterprise cloud security, application/API security, and fine-grained identity systems, with experience integrating PII masking and complex Role-Based Access Control (RBAC) frameworks. Strong software development background with advanced scripting capabilities in Python (or similar languages) to drive automation, infrastructure provisioning (IaC), and automated testing. Active professional-level cloud certifications are highly preferred, such as Google Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer or AI Engineer Preferred Qualifications Some exposure to AI/ML systems, application security, or API security is a plus. Travel up to 10% Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $96,800.00 - $145,200.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However . click apply for full job details
11/14/2026
Full time
Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform Engineering, Cloud Security, and Artificial Intelligence initiatives. Acting as a hands-on technical architect and strategic trailblazer, you will partner with key stakeholders to identify opportunities, translate ideas into actionable solutions, and deliver value through rapid proofs of concept. This role focuses heavily on designing, building, and scaling our next-generation cloud-native AI platforms, AI-powered log intelligence (AIOps), and semantic developer tooling. Location: This is a hybrid position requiring a minimum of three days per week on-site at either our Lincolnshire, IL, or Holtsville, NY office. Essential Duties/Responsabilities: Identify and evaluate emerging innovation opportunities across Platform Engineering and Cloud Infrastructure functions, matching business needs with cutting-edge technology solutions. Conduct comprehensive business and systems analyses, translating complex technical findings into clear user stories, system requirements, and actionable solution concepts. Coordinate and execute Proof of Concepts (PoCs) and hands-on delivery activities to rapidly validate and advance cloud and platform innovation initiatives. Research, analyze, and report on disruptive technologies-such as Generative AI, Machine Learning (ML), Robotic Process Automation (RPA), and Virtual Agents-providing strategic recommendations for corporate adoption. Act as the primary IT Cloud Innovation Liaison, driving cross-functional collaboration and alignment with other innovation and product teams across Zebra. Plan, coordinate, and facilitate structured ideation workshops, fostering a culture of collaborative brainstorming and innovative problem-solving. Serve as an active Innovation Evangelist within IT and the broader enterprise, promoting modern engineering methodologies and pushing the boundaries of cloud-native possibilities. Track, analyze, and report key performance indicators (KPIs), ensuring leadership has complete visibility into the progress, and business outcomes of all innovation initiatives. Establish and maintain a repeatable operating model for cloud-native AI/ML deployment, ensuring all initiatives consistently address pipeline architecture, performance metrics, and compliance guidelines across GCP and Azure. Lead and mentor a high-performing team of cloud and AI platform engineers, guiding their professional evolution toward predictive log analytics, automation (AIOps), and robust cloud data readiness. Translate complex AI governance, cloud security guardrails, and regulatory requirements into practical technical specifications, partnering directly with systems engineers to integrate PII masking and RBAC into automated CI/CD pipelines. Manage roadmap alignment within assigned technology portfolios. Minimum Qualifications: Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering, or related field. 5+ years experience working on an operations style team (NOC, SOC, MOC, etc.) and troubleshooting networking, service desk, operations center and/or supporting cloud based Infrastructure. Hands-on Google Gemini Enterprise Expertise: Demonstrated experience working with Google Gemini Enterprise, with a proven ability to build and deploy custom agents using the Agent Development Kit (ADK). Multi-Cloud & GenAI Platform Proficiency: Deep familiarity with leading cloud platforms and generative AI solution providers, including Google Cloud Platform (GCP), Azure, OpenAI, and Anthropic. Experience working in a global, heterogeneous, cloud and on-prem environment. Practical knowledge of, or deep technical curiosity to develop, hands-on solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and agentic AI patterns (including Model Context Protocol MCP , tool calling, and orchestration frameworks). Expertise in scripting or programming languages (e.g., Python) for automation or testing is a plus; software development background is welcomed. Proven track record of deploying containerized AI solutions using Kubernetes (GKE/AKS), Docker, and robust CI/CD pipelines, backed by verifiable metrics such as high availability, latency reduction, and infrastructure cost optimization. Comprehensive understanding of enterprise cloud security, application/API security, and fine-grained identity systems, with experience integrating PII masking and complex Role-Based Access Control (RBAC) frameworks. Strong software development background with advanced scripting capabilities in Python (or similar languages) to drive automation, infrastructure provisioning (IaC), and automated testing. Active professional-level cloud certifications are highly preferred, such as Google Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer or AI Engineer Preferred Qualifications Some exposure to AI/ML systems, application security, or API security is a plus. Travel up to 10% Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $96,800.00 - $145,200.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However . click apply for full job details
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
Pay Range: $60.00hr - $65.00hr Job Overview: As an Engineer, the candidate is responsible for building, designing, and deploying modern web applications. The candidate will leverage technical skills to architect scalable and robust solutions, tackle dependencies, and shape the team's technical strategy. Our client is looking for a Senior AI Engineer with Java Full Stack Experience to join a learner-centered team committed to delivering a next-generation transformative AI-powered learning infrastructure. In this role, the candidate will influence the future of learning experiences by developing integrated and scalable solutions from the ground up within a supportive and collaborative environment. Responsibilities: Collaborate closely with subject matter experts to understand challenges and translate them into effective solution designs, partnering with Product, UX, and other engineering teams. Drive AI efforts including Gemini integrations, ML model fine-tuning, evaluation, and performance optimization to create user-facing solutions that are both scalable and high-performant. Drive cross-functional collaboration to prototype web solutions, gather feedback, and iteratively refine requirements. Develop, test, and monitor robust, scalable, and reliable web solutions that meet business needs. Leverage cloud solutions and tools to create seamlessly integrated, reusable, and extensible systems. Write and review technical documents (product, technical design, developer documentation) and code in Angular, TypeScript, Java, Kotlin, Python, or SQL. Build the organization's agentic future by implementing Gemini integrations, assisting with ML model fine-tuning, and executing AI performance evaluations to help develop intelligent, user-facing learning solutions. Design, build, and deploy full-stack web solutions that are reliable, scalable, and high-performant, using advanced technologies to build AI-powered learning flows. Minimum qualifications: Bachelor's degree or equivalent practical experience. 10+ years of experience with Software Development in Java Fullstack (Java, Angular). 2+ years of experience in AI Technologies. Generative AI & LLMs: Demonstrated track record of deploying Gemini models in production using Vertex AI and the Agent Development Kit (ADK). RAG Architecture: Proven expertise in designing RAG systems. Backend & Cloud Infrastructure: Strong proficiency in Python (FastAPI), Cloud Run, and large-scale data retrieval strategies. Data Structures & Storage: Experience with relational database architecture and enterprise data schema management. Experience working with one or more of the following: web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing software systems, or security. Strong verbal and written communication skills with stakeholder management capabilities. Preferred qualifications: Demonstrated experience with service architecture, domain-driven design, and the development of scalable, distributed services. Demonstrated experience in the end-to-end design, scaling, and performance tuning of AI-integrated web applications within dynamic environments. Demonstrated experience running Kanban boards and sprints while forecasting effort for complex engineering projects. Demonstrated experience with ADK, MCP, and integrating Gemini AI APIs into production web applications. Demonstrated experience with ML model fine-tuning, evaluation, and performance optimization for user-facing systems. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $60.00hr - $65.00hr Job Overview: As an Engineer, the candidate is responsible for building, designing, and deploying modern web applications. The candidate will leverage technical skills to architect scalable and robust solutions, tackle dependencies, and shape the team's technical strategy. Our client is looking for a Senior AI Engineer with Java Full Stack Experience to join a learner-centered team committed to delivering a next-generation transformative AI-powered learning infrastructure. In this role, the candidate will influence the future of learning experiences by developing integrated and scalable solutions from the ground up within a supportive and collaborative environment. Responsibilities: Collaborate closely with subject matter experts to understand challenges and translate them into effective solution designs, partnering with Product, UX, and other engineering teams. Drive AI efforts including Gemini integrations, ML model fine-tuning, evaluation, and performance optimization to create user-facing solutions that are both scalable and high-performant. Drive cross-functional collaboration to prototype web solutions, gather feedback, and iteratively refine requirements. Develop, test, and monitor robust, scalable, and reliable web solutions that meet business needs. Leverage cloud solutions and tools to create seamlessly integrated, reusable, and extensible systems. Write and review technical documents (product, technical design, developer documentation) and code in Angular, TypeScript, Java, Kotlin, Python, or SQL. Build the organization's agentic future by implementing Gemini integrations, assisting with ML model fine-tuning, and executing AI performance evaluations to help develop intelligent, user-facing learning solutions. Design, build, and deploy full-stack web solutions that are reliable, scalable, and high-performant, using advanced technologies to build AI-powered learning flows. Minimum qualifications: Bachelor's degree or equivalent practical experience. 10+ years of experience with Software Development in Java Fullstack (Java, Angular). 2+ years of experience in AI Technologies. Generative AI & LLMs: Demonstrated track record of deploying Gemini models in production using Vertex AI and the Agent Development Kit (ADK). RAG Architecture: Proven expertise in designing RAG systems. Backend & Cloud Infrastructure: Strong proficiency in Python (FastAPI), Cloud Run, and large-scale data retrieval strategies. Data Structures & Storage: Experience with relational database architecture and enterprise data schema management. Experience working with one or more of the following: web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing software systems, or security. Strong verbal and written communication skills with stakeholder management capabilities. Preferred qualifications: Demonstrated experience with service architecture, domain-driven design, and the development of scalable, distributed services. Demonstrated experience in the end-to-end design, scaling, and performance tuning of AI-integrated web applications within dynamic environments. Demonstrated experience running Kanban boards and sprints while forecasting effort for complex engineering projects. Demonstrated experience with ADK, MCP, and integrating Gemini AI APIs into production web applications. Demonstrated experience with ML model fine-tuning, evaluation, and performance optimization for user-facing systems. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Job Description Senior Data Engineer - AWS Charlotte, NC - Onsite 6 Months+ Required Skills & Qualifications • Data engineering, backend development, or software engineering, with demonstrated hands-on development experience. • Strong hands-on experience with AWS data and cloud services, including services such as S3, Glue, EMR, Lambda, and Redshift. • Proven experience developing and maintaining production-grade APIs and backend services using Java, with a strong understanding of RESTful API design, integration patterns, and error handling. • Strong programming skills in Python, with hands-on experience building reusable modules, backend components, or API integrations. • Hands-on experience with PySpark and distributed data processing, including developing scalable data transformations and optimising data pipelines. • Proficiency in SQL, including complex queries, data transformations, and query performance optimisation. • Strong understanding of object-oriented programming, software design principles, data structures, and maintainable application architecture. • Practical exposure to MCP, LLMs, generative AI, or AI application integration, with an understanding of how AI capabilities can be integrated into APIs and enterprise workflows. • Experience with API testing, debugging, authentication and authorisation, and application integration. • Familiarity with Git, CI/CD pipelines, automated testing, and Agile development practices. • Strong problem-solving, communication, and collaboration skills, with the ability to work independently on complex technical requirements. Preferred Qualifications (Nice to Have) • Experience building AI-enabled applications, LLM-powered workflows, or MCP-based integrations. • Exposure to LLM orchestration frameworks, tool calling, retrieval-augmented generation (RAG), or enterprise AI integration patterns. • Experience with AWS-native AI services and deployment of AI-enabled applications in cloud environments. • Familiarity with API gateways, containerisation, microservices architecture, and application observability. • Experience with data warehousing, distributed computing, Spark performance tuning, and data quality frameworks. Job Responsibilities Key Responsibilities • Design, develop, and optimise scalable data pipelines and data processing workflows using Python, PySpark, and SQL. • Develop, enhance, and maintain production-grade APIs and backend services using Java and Python, with a strong focus on API design, integration, performance, and reliability. • Build and integrate RESTful APIs and microservices to support data-driven applications and enterprise integrations. • Leverage AWS services such as S3, Glue, EMR, Lambda, Redshift, and other relevant cloud-native services to build and manage scalable data engineering solutions. • Work with Model Context Protocol (MCP), Large Language Models (LLMs), and generative AI technologies to develop or integrate AI-enabled applications and workflows. • Implement reusable, maintainable, and scalable code using object-oriented programming principles, design patterns, and established engineering best practices. • Write and optimise complex SQL queries and implement efficient ETL/ELT processes for large-scale data transformations. • Collaborate with data engineers, application developers, architects, data scientists, and business stakeholders to translate requirements into robust technical solutions. • Troubleshoot and resolve issues across APIs, data pipelines, integrations, and cloud-based applications. • Participate in code reviews, automated testing, CI/CD implementation, performance tuning, and production support while adhering to engineering standards.
11/14/2026
Full time
Job Description Senior Data Engineer - AWS Charlotte, NC - Onsite 6 Months+ Required Skills & Qualifications • Data engineering, backend development, or software engineering, with demonstrated hands-on development experience. • Strong hands-on experience with AWS data and cloud services, including services such as S3, Glue, EMR, Lambda, and Redshift. • Proven experience developing and maintaining production-grade APIs and backend services using Java, with a strong understanding of RESTful API design, integration patterns, and error handling. • Strong programming skills in Python, with hands-on experience building reusable modules, backend components, or API integrations. • Hands-on experience with PySpark and distributed data processing, including developing scalable data transformations and optimising data pipelines. • Proficiency in SQL, including complex queries, data transformations, and query performance optimisation. • Strong understanding of object-oriented programming, software design principles, data structures, and maintainable application architecture. • Practical exposure to MCP, LLMs, generative AI, or AI application integration, with an understanding of how AI capabilities can be integrated into APIs and enterprise workflows. • Experience with API testing, debugging, authentication and authorisation, and application integration. • Familiarity with Git, CI/CD pipelines, automated testing, and Agile development practices. • Strong problem-solving, communication, and collaboration skills, with the ability to work independently on complex technical requirements. Preferred Qualifications (Nice to Have) • Experience building AI-enabled applications, LLM-powered workflows, or MCP-based integrations. • Exposure to LLM orchestration frameworks, tool calling, retrieval-augmented generation (RAG), or enterprise AI integration patterns. • Experience with AWS-native AI services and deployment of AI-enabled applications in cloud environments. • Familiarity with API gateways, containerisation, microservices architecture, and application observability. • Experience with data warehousing, distributed computing, Spark performance tuning, and data quality frameworks. Job Responsibilities Key Responsibilities • Design, develop, and optimise scalable data pipelines and data processing workflows using Python, PySpark, and SQL. • Develop, enhance, and maintain production-grade APIs and backend services using Java and Python, with a strong focus on API design, integration, performance, and reliability. • Build and integrate RESTful APIs and microservices to support data-driven applications and enterprise integrations. • Leverage AWS services such as S3, Glue, EMR, Lambda, Redshift, and other relevant cloud-native services to build and manage scalable data engineering solutions. • Work with Model Context Protocol (MCP), Large Language Models (LLMs), and generative AI technologies to develop or integrate AI-enabled applications and workflows. • Implement reusable, maintainable, and scalable code using object-oriented programming principles, design patterns, and established engineering best practices. • Write and optimise complex SQL queries and implement efficient ETL/ELT processes for large-scale data transformations. • Collaborate with data engineers, application developers, architects, data scientists, and business stakeholders to translate requirements into robust technical solutions. • Troubleshoot and resolve issues across APIs, data pipelines, integrations, and cloud-based applications. • Participate in code reviews, automated testing, CI/CD implementation, performance tuning, and production support while adhering to engineering standards.
Job Description Job Title: Senior AI Engineer - AI Solutions & Validation Frameworks Experience: 8+ years Domain: AI / Generative AI / Enterprise Solutions Role Overview We are looking for an AI Engineer with 8+ years of professional experience in designing, developing, validating, and implementing AI solutions for enterprise use cases. The candidate will work directly with clients and internal stakeholders to understand business requirements, translate them into technical solutions, define solution validation approaches, and drive implementation. An important aspect of this role will be to help design and establish a standardized, reusable AI validation framework that can be applied across different AI solutions and projects within the organization. This includes defining evaluation methodologies, validation criteria, performance metrics, testing processes, and quality benchmarks to ensure the reliability, accuracy, and effectiveness of AI solutions. The ideal candidate should combine hands-on AI engineering capabilities with strong communication, problem-solving, and stakeholder management skills. Required Skills & Qualifications 6+ years of professional experience in AI/ML engineering, Generative AI development, or implementation of AI-driven or analytical solutions. Demonstrated experience designing, developing, and implementing AI solutions in real-world business or enterprise environments. Strong understanding of Generative AI concepts, LLMs, prompt engineering, and RAG architectures. Hands-on experience with Python and relevant AI/ML frameworks and libraries. Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks. Understanding of AI evaluation methodologies, testing approaches, model performance metrics, and validation techniques. Experience working with APIs, databases, structured and unstructured data, and enterprise application integrations. Ability to translate business requirements into technical solution designs and implementation plans. Strong communication skills and the ability to interact directly with clients and business stakeholders. Ability to work independently, manage multiple priorities, and collaborate with cross-functional teams. Preferred Qualifications Experience developing reusable AI evaluation or validation frameworks. Familiarity with LLM evaluation tools and frameworks such as RAGAS, DeepEval, TruLens, LangSmith, or equivalent. Experience with automated testing, CI/CD integration, and monitoring of AI applications. Knowledge of AI guardrails, hallucination detection, responsible AI, and output quality assessment. Experience implementing enterprise GenAI solutions across multiple business functions. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf
11/14/2026
Full time
Job Description Job Title: Senior AI Engineer - AI Solutions & Validation Frameworks Experience: 8+ years Domain: AI / Generative AI / Enterprise Solutions Role Overview We are looking for an AI Engineer with 8+ years of professional experience in designing, developing, validating, and implementing AI solutions for enterprise use cases. The candidate will work directly with clients and internal stakeholders to understand business requirements, translate them into technical solutions, define solution validation approaches, and drive implementation. An important aspect of this role will be to help design and establish a standardized, reusable AI validation framework that can be applied across different AI solutions and projects within the organization. This includes defining evaluation methodologies, validation criteria, performance metrics, testing processes, and quality benchmarks to ensure the reliability, accuracy, and effectiveness of AI solutions. The ideal candidate should combine hands-on AI engineering capabilities with strong communication, problem-solving, and stakeholder management skills. Required Skills & Qualifications 6+ years of professional experience in AI/ML engineering, Generative AI development, or implementation of AI-driven or analytical solutions. Demonstrated experience designing, developing, and implementing AI solutions in real-world business or enterprise environments. Strong understanding of Generative AI concepts, LLMs, prompt engineering, and RAG architectures. Hands-on experience with Python and relevant AI/ML frameworks and libraries. Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks. Understanding of AI evaluation methodologies, testing approaches, model performance metrics, and validation techniques. Experience working with APIs, databases, structured and unstructured data, and enterprise application integrations. Ability to translate business requirements into technical solution designs and implementation plans. Strong communication skills and the ability to interact directly with clients and business stakeholders. Ability to work independently, manage multiple priorities, and collaborate with cross-functional teams. Preferred Qualifications Experience developing reusable AI evaluation or validation frameworks. Familiarity with LLM evaluation tools and frameworks such as RAGAS, DeepEval, TruLens, LangSmith, or equivalent. Experience with automated testing, CI/CD integration, and monitoring of AI applications. Knowledge of AI guardrails, hallucination detection, responsible AI, and output quality assessment. Experience implementing enterprise GenAI solutions across multiple business functions. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf
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 AI / Forward Deployed Engineer Requires 4+ years of full-time professional experience after completing a degree. Candidates must have existing US work authorization. H1B transfers and TN status are accepted. No new visa sponsorship, OPT, or CPT. We are an executive search firm focused primarily on technology hiring across the buy side, working with some of the most prominent hedge funds and investment firms in the market. We've had significant success placing high-caliber technology talent with our clients and are continuing to build out our pipeline as new searches come online. AI has quickly become one of our most active areas of sear ch. We are currently working on several AI / Forward Deployed Engineering searches with leading investment firms and have already started interviewing top candidates for these opportunities. We're looking for highly qualified engineers with strong software engineering fundamentals and hands-on AI experience who can work directly with investment, research, and business teams to build practical solutions. What you'll be doing Work directly with investment, research, and other business teams to understand their workflows and identify where AI can add value. Build and deploy AI-powered applications, internal tools, and workflows. Work with LLMs, APIs, proprietary data, and third-party data sources. Build solutions around research automation, information retrieval, document analysis, data extraction, and other internal workflows. Take projects from an initial idea through prototype and into production. Work closely with users, gather feedback, and continuously improve what you build. Partner with engineering and infrastructure teams around deployment, security, scalability, and reliability. What we're looking for Strong software engineering background, ideally with Python as a primary language. Hands-on experience building with LLMs / Generative AI. Experience working with APIs, databases, data, and cloud environments. Understanding of areas such as RAG, agents, embeddings, prompt engineering, or LLM evaluation. Strong problem-solving skills and the ability to work with limited direction. Comfortable working directly with senior users and translating business problems into technical solutions. Strong academic background in Computer Science, Engineering, Mathematics, or a related field. Financial markets experience is a plus
11/14/2026
Full time
Job Description AI / Forward Deployed Engineer Requires 4+ years of full-time professional experience after completing a degree. Candidates must have existing US work authorization. H1B transfers and TN status are accepted. No new visa sponsorship, OPT, or CPT. We are an executive search firm focused primarily on technology hiring across the buy side, working with some of the most prominent hedge funds and investment firms in the market. We've had significant success placing high-caliber technology talent with our clients and are continuing to build out our pipeline as new searches come online. AI has quickly become one of our most active areas of sear ch. We are currently working on several AI / Forward Deployed Engineering searches with leading investment firms and have already started interviewing top candidates for these opportunities. We're looking for highly qualified engineers with strong software engineering fundamentals and hands-on AI experience who can work directly with investment, research, and business teams to build practical solutions. What you'll be doing Work directly with investment, research, and other business teams to understand their workflows and identify where AI can add value. Build and deploy AI-powered applications, internal tools, and workflows. Work with LLMs, APIs, proprietary data, and third-party data sources. Build solutions around research automation, information retrieval, document analysis, data extraction, and other internal workflows. Take projects from an initial idea through prototype and into production. Work closely with users, gather feedback, and continuously improve what you build. Partner with engineering and infrastructure teams around deployment, security, scalability, and reliability. What we're looking for Strong software engineering background, ideally with Python as a primary language. Hands-on experience building with LLMs / Generative AI. Experience working with APIs, databases, data, and cloud environments. Understanding of areas such as RAG, agents, embeddings, prompt engineering, or LLM evaluation. Strong problem-solving skills and the ability to work with limited direction. Comfortable working directly with senior users and translating business problems into technical solutions. Strong academic background in Computer Science, Engineering, Mathematics, or a related field. Financial markets experience is a plus
Job Description Job Title: GenAI Architect Location: New York City, NY (Onsite/Local Candidates Preferred) Experience: 10+ Years Visa: Open to All Visa Types Job Summary: We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, and cloud-based AI architectures. The candidate will be responsible for translating business requirements into scalable, secure, and production-ready AI solutions while collaborating closely with business stakeholders, data scientists, and engineering teams. Key Responsibilities: Design and architect enterprise-grade Generative AI solutions leveraging LLMs, RAG pipelines, and agentic AI frameworks. Lead the development and implementation of scalable AI applications and intelligent automation solutions. Architect end-to-end RAG solutions, including document ingestion, chunking, embedding generation, vector databases, retrieval, and response generation. Design and implement agentic workflows using tools, APIs, orchestration frameworks, and multi-agent architectures. Evaluate and integrate LLM models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems. Leverage cloud platforms such as AWS, Azure, or GCP to build and deploy enterprise AI solutions. Establish best practices for prompt engineering, context management, model evaluation, performance optimization, and LLM observability. Ensure AI solutions meet enterprise requirements for security, scalability, governance, compliance, and responsible AI. Collaborate with business stakeholders and technical teams to identify AI opportunities and translate business use cases into technical architectures. Provide technical leadership, architecture guidance, and mentorship to engineering teams throughout the development lifecycle. Required Technical Skills: 10+ years of overall experience in software engineering, solution architecture, AI/ML, or related technology domains. Strong hands-on experience designing and implementing Generative AI and LLM-based applications. Extensive experience with RAG architecture, vector databases, embeddings, semantic search, and knowledge retrieval systems. Strong understanding of Agentic AI, AI agents, multi-agent systems, and tool/function calling. Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar. Proficiency in Python and experience developing enterprise-grade applications and APIs. Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs. Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, Milvus, or Chroma. Understanding of LLMOps, model deployment, monitoring, evaluation, and optimization. Experience with enterprise security, data privacy, access controls, and responsible AI practices. Preferred Qualifications: Experience architecting and delivering enterprise-scale GenAI solutions from concept to production. Knowledge of Kubernetes, Docker, microservices, and CI/CD pipelines. Experience with fine-tuning, model customization, and prompt optimization. Familiarity with AI governance, guardrails, hallucination mitigation, and responsible AI implementation. Excellent communication, stakeholder management, and technical leadership skills.
11/14/2026
Full time
Job Description Job Title: GenAI Architect Location: New York City, NY (Onsite/Local Candidates Preferred) Experience: 10+ Years Visa: Open to All Visa Types Job Summary: We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, and cloud-based AI architectures. The candidate will be responsible for translating business requirements into scalable, secure, and production-ready AI solutions while collaborating closely with business stakeholders, data scientists, and engineering teams. Key Responsibilities: Design and architect enterprise-grade Generative AI solutions leveraging LLMs, RAG pipelines, and agentic AI frameworks. Lead the development and implementation of scalable AI applications and intelligent automation solutions. Architect end-to-end RAG solutions, including document ingestion, chunking, embedding generation, vector databases, retrieval, and response generation. Design and implement agentic workflows using tools, APIs, orchestration frameworks, and multi-agent architectures. Evaluate and integrate LLM models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems. Leverage cloud platforms such as AWS, Azure, or GCP to build and deploy enterprise AI solutions. Establish best practices for prompt engineering, context management, model evaluation, performance optimization, and LLM observability. Ensure AI solutions meet enterprise requirements for security, scalability, governance, compliance, and responsible AI. Collaborate with business stakeholders and technical teams to identify AI opportunities and translate business use cases into technical architectures. Provide technical leadership, architecture guidance, and mentorship to engineering teams throughout the development lifecycle. Required Technical Skills: 10+ years of overall experience in software engineering, solution architecture, AI/ML, or related technology domains. Strong hands-on experience designing and implementing Generative AI and LLM-based applications. Extensive experience with RAG architecture, vector databases, embeddings, semantic search, and knowledge retrieval systems. Strong understanding of Agentic AI, AI agents, multi-agent systems, and tool/function calling. Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar. Proficiency in Python and experience developing enterprise-grade applications and APIs. Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs. Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, Milvus, or Chroma. Understanding of LLMOps, model deployment, monitoring, evaluation, and optimization. Experience with enterprise security, data privacy, access controls, and responsible AI practices. Preferred Qualifications: Experience architecting and delivering enterprise-scale GenAI solutions from concept to production. Knowledge of Kubernetes, Docker, microservices, and CI/CD pipelines. Experience with fine-tuning, model customization, and prompt optimization. Familiarity with AI governance, guardrails, hallucination mitigation, and responsible AI implementation. Excellent communication, stakeholder management, and technical leadership skills.
Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.
11/14/2026
Full time
Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.
Job Description AI ML Engineer Intern - Winter / Spring 2027 (Master's or PhD) Salary: $25 - 30/ hr About Akoncagua AI Akoncagua AI builds domain-specialized AI systems for technically demanding industries. Our work includes LLMs, multimodal AI, agentic automation, RAG, evaluation, and production AI infrastructure. We are seeking an AI Automation Engineer Intern to help build secure, reliable AI agents and automated workflows for accounting and enterprise finance. What you'll work on Build and improve LLM agent workflows for document intake, classification, and transaction coding Develop document-intelligence pipelines for invoices, receipts, contracts, and financial statements Implement retrieval over accounting policies, vendor records, and historical transactions Write evaluation harnesses that measure extraction accuracy, classification quality, and end-to-end workflow outcomes Add tracing and observability for prompts, tool calls, failures, latency, and cost Integrate agents with accounting platforms, databases, and internal APIs Required qualifications Currently enrolled in a Master's or PhD program in Computer Science, AI/ML, or a related technical field, or equivalent practical experience Strong Python skills, plus solid fundamentals in data structures, debugging, and testing Experience building LLM-based applications, whether through coursework, research, personal projects, or internships Familiarity with at least one agent framework such as LangGraph, AutoGen/AG2, Semantic Kernel, or the OpenAI Agents SDK Working knowledge of RAG and vector databases Comfortable with Docker and version control in a collaborative codebase Preferred qualifications Experience with MCP or similar tool-integration standards Experience with n8n, Zapier, Make, or event-driven automation Exposure to FastAPI, PostgreSQL, pgvector, or Kubernetes Interest in or exposure to accounting concepts such as double-entry bookkeeping, journal entries, reconciliations, or approval controls Awareness of prompt-injection risks, least-privilege design, and secrets management Strong understanding of multi-GPU Linux server environments, with hands-on experience configuring, managing, and effectively utilizing GPU resources. Open-source contributions or publications at AI conferences How we work We care about researchers and engineers who understand and can defend the design decisions in their code. AI coding tools are welcome here, but you should be able to explain why a system works the way it does, what evidence supports it, and where it breaks. Our work connects model research with the systems required to run it. You will have room to explore new ideas, but you will also be expected to build working implementations, measure them carefully, and communicate their limitations clearly.
11/14/2026
Full time
Job Description AI ML Engineer Intern - Winter / Spring 2027 (Master's or PhD) Salary: $25 - 30/ hr About Akoncagua AI Akoncagua AI builds domain-specialized AI systems for technically demanding industries. Our work includes LLMs, multimodal AI, agentic automation, RAG, evaluation, and production AI infrastructure. We are seeking an AI Automation Engineer Intern to help build secure, reliable AI agents and automated workflows for accounting and enterprise finance. What you'll work on Build and improve LLM agent workflows for document intake, classification, and transaction coding Develop document-intelligence pipelines for invoices, receipts, contracts, and financial statements Implement retrieval over accounting policies, vendor records, and historical transactions Write evaluation harnesses that measure extraction accuracy, classification quality, and end-to-end workflow outcomes Add tracing and observability for prompts, tool calls, failures, latency, and cost Integrate agents with accounting platforms, databases, and internal APIs Required qualifications Currently enrolled in a Master's or PhD program in Computer Science, AI/ML, or a related technical field, or equivalent practical experience Strong Python skills, plus solid fundamentals in data structures, debugging, and testing Experience building LLM-based applications, whether through coursework, research, personal projects, or internships Familiarity with at least one agent framework such as LangGraph, AutoGen/AG2, Semantic Kernel, or the OpenAI Agents SDK Working knowledge of RAG and vector databases Comfortable with Docker and version control in a collaborative codebase Preferred qualifications Experience with MCP or similar tool-integration standards Experience with n8n, Zapier, Make, or event-driven automation Exposure to FastAPI, PostgreSQL, pgvector, or Kubernetes Interest in or exposure to accounting concepts such as double-entry bookkeeping, journal entries, reconciliations, or approval controls Awareness of prompt-injection risks, least-privilege design, and secrets management Strong understanding of multi-GPU Linux server environments, with hands-on experience configuring, managing, and effectively utilizing GPU resources. Open-source contributions or publications at AI conferences How we work We care about researchers and engineers who understand and can defend the design decisions in their code. AI coding tools are welcome here, but you should be able to explain why a system works the way it does, what evidence supports it, and where it breaks. Our work connects model research with the systems required to run it. You will have room to explore new ideas, but you will also be expected to build working implementations, measure them carefully, and communicate their limitations clearly.
Job Description Candidate must already live in Chicago! No exceptions! Senior Full Stack Engineer Contract Position Position Overview We are seeking an experienced Senior Full Stack & Cloud-Native AI Engineer to transform an existing Data Insight proof of concept into a secure, scalable, production-ready enterprise application. The application enables users to explore reporting data, ask contextual follow-up questions, and gain actionable insights supported by verifiable source evidence. In this role, you will design and develop end-to-end application capabilities, including agentic AI workflows, full-stack user experiences, cloud-native services, and enterprise integrations. You will play a critical role in establishing the evaluation, testing, and monitoring frameworks required to ensure the accuracy, reliability, security, and continuous improvement of AI-powered functionality. The ideal candidate combines strong full-stack engineering expertise with hands-on experience developing production-grade AI applications, particularly agentic workflows, retrieval-augmented generation (RAG), and AI evaluation frameworks. Key Responsibilities Agentic AI Application Development Design, develop, and deploy production-grade agentic AI applications using large language models (LLMs), tool calling, structured outputs, and multi-step reasoning workflows. Build intelligent workflows that interpret user intent, maintain conversation context, orchestrate tools and APIs, and support human review when appropriate. Implement prompt engineering, context management, workflow orchestration, and error-handling strategies to improve application reliability and response quality. Integrate retrieval-augmented generation (RAG) capabilities to ground AI-generated responses in trusted enterprise data and source documents. F ull Stack & Cloud-Native Development Develop responsive, user-friendly web applications using Angular and modern front-end development practices. Design and implement scalable backend services and RESTful APIs using C# and .NET. Develop Python-based AI services and agent orchestration components. Integrate application services with existing enterprise reporting platforms, databases, authentication providers, and data-access systems. Build and deploy cloud-native solutions using Microsoft Azure and associated cloud services. Implement secure API integrations, asynchronous processing, and resilient service-to-service communication. AI Evaluation, Testing & Quality Engineering Own the design and implementation of comprehensive evaluation frameworks for AI-powered applications. Collaborate with healthcare domain experts and product owners to curate representative evaluation datasets and define scoring rubrics, quality metrics, and acceptance criteria. Develop automated evaluation processes to assess: Accuracy and relevance of AI-generated answers. Correctness and traceability of supporting evidence. Tool selection, execution, and workflow orchestration. Context retention and multi-turn conversation quality. End-to-end task completion and user experience. Handling of ambiguous, unsupported, and out-of-scope requests. Combine automated evaluation with human review to validate analytical accuracy and domain-specific correctness. Establish regression testing and baseline comparisons to identify quality degradation resulting from changes to models, prompts, datasets, or application code. Integrate AI evaluation suites, automated tests, and quality gates into CI/CD pipelines. Maintain version-controlled prompts, evaluation datasets, test configurations, and performance baselines. Reliability, Security & Production Operations Design resilient execution workflows incorporating timeouts, retries, cancellation, durable state management, and recovery mechanisms. Implement authentication, authorization, and data-access controls across APIs, AI agents, tools, and underlying data sources. Ensure sensitive healthcare and enterprise data is handled securely and in accordance with applicable organizational policies. Establish observability through application logging, distributed tracing, performance monitoring, and error reporting. Monitor production AI quality, response latency, operational costs, and failure rates. Analyze production feedback and failures, convert findings into reproducible test cases, and drive measurable improvements. Optimize application performance, scalability, reliability, and cloud operating costs. Data Engineering & Analytical Integrity Develop and optimize SQL queries, relational data models, and data-access services. Ensure analytical results are accurate, reproducible, and supported by traceable source data. Address data-quality challenges, including missing values, inconsistencies, numerical precision, and aggregation accuracy. Work closely with business stakeholders and healthcare domain experts to validate analytical findings and communicate uncertainty and system limitations. Required Qualifications 8+ years of professional software engineering experience delivering and supporting secure, scalable enterprise applications. Hands-on experience designing and developing agentic AI applications using LLMs, tool calling, structured outputs, prompt engineering, and multi-step workflows. Strong full-stack development experience with Angular, C#/.NET Web APIs, and Python. Practical experience building AI evaluation and quality pipelines, including evaluation datasets, scoring methodologies, automated regression testing, and human-in-the-loop validation. Demonstrated ability to use evaluation results and production feedback to improve AI application quality and reliability. Strong experience with SQL, relational database design, data modeling, and analytical data processing. Experience building and deploying cloud-native applications using Microsoft Azure. Hands-on experience with CI/CD pipelines, automated unit testing, integration testing, and end-to-end testing. Strong understanding of enterprise application security, authentication, authorization, secure API design, and data-access controls. Experience implementing observability, distributed tracing, asynchronous processing, and fault-tolerant application architectures. Strong analytical, problem-solving, communication, and collaboration skills. Ability to work independently and effectively collaborate with engineering teams, product owners, and business/domain experts. Preferred Qualifications Experience implementing retrieval-augmented generation (RAG), including document ingestion, embedding generation, vector search, retrieval strategies, and grounding evaluation. Experience with healthcare analytics, enterprise reporting platforms, or data-intensive applications involving sensitive information. Experience transitioning AI proof-of-concept solutions into production-grade enterprise applications. Familiarity with AI quality metrics, LLM-as-a-judge approaches, semantic evaluation, groundedness assessment, and human evaluation workflows. Experience optimizing AI application performance, model selection, inference latency, token consumption, and cloud operating costs. Familiarity with Azure AI services and enterprise AI application architecture.
11/14/2026
Full time
Job Description Candidate must already live in Chicago! No exceptions! Senior Full Stack Engineer Contract Position Position Overview We are seeking an experienced Senior Full Stack & Cloud-Native AI Engineer to transform an existing Data Insight proof of concept into a secure, scalable, production-ready enterprise application. The application enables users to explore reporting data, ask contextual follow-up questions, and gain actionable insights supported by verifiable source evidence. In this role, you will design and develop end-to-end application capabilities, including agentic AI workflows, full-stack user experiences, cloud-native services, and enterprise integrations. You will play a critical role in establishing the evaluation, testing, and monitoring frameworks required to ensure the accuracy, reliability, security, and continuous improvement of AI-powered functionality. The ideal candidate combines strong full-stack engineering expertise with hands-on experience developing production-grade AI applications, particularly agentic workflows, retrieval-augmented generation (RAG), and AI evaluation frameworks. Key Responsibilities Agentic AI Application Development Design, develop, and deploy production-grade agentic AI applications using large language models (LLMs), tool calling, structured outputs, and multi-step reasoning workflows. Build intelligent workflows that interpret user intent, maintain conversation context, orchestrate tools and APIs, and support human review when appropriate. Implement prompt engineering, context management, workflow orchestration, and error-handling strategies to improve application reliability and response quality. Integrate retrieval-augmented generation (RAG) capabilities to ground AI-generated responses in trusted enterprise data and source documents. F ull Stack & Cloud-Native Development Develop responsive, user-friendly web applications using Angular and modern front-end development practices. Design and implement scalable backend services and RESTful APIs using C# and .NET. Develop Python-based AI services and agent orchestration components. Integrate application services with existing enterprise reporting platforms, databases, authentication providers, and data-access systems. Build and deploy cloud-native solutions using Microsoft Azure and associated cloud services. Implement secure API integrations, asynchronous processing, and resilient service-to-service communication. AI Evaluation, Testing & Quality Engineering Own the design and implementation of comprehensive evaluation frameworks for AI-powered applications. Collaborate with healthcare domain experts and product owners to curate representative evaluation datasets and define scoring rubrics, quality metrics, and acceptance criteria. Develop automated evaluation processes to assess: Accuracy and relevance of AI-generated answers. Correctness and traceability of supporting evidence. Tool selection, execution, and workflow orchestration. Context retention and multi-turn conversation quality. End-to-end task completion and user experience. Handling of ambiguous, unsupported, and out-of-scope requests. Combine automated evaluation with human review to validate analytical accuracy and domain-specific correctness. Establish regression testing and baseline comparisons to identify quality degradation resulting from changes to models, prompts, datasets, or application code. Integrate AI evaluation suites, automated tests, and quality gates into CI/CD pipelines. Maintain version-controlled prompts, evaluation datasets, test configurations, and performance baselines. Reliability, Security & Production Operations Design resilient execution workflows incorporating timeouts, retries, cancellation, durable state management, and recovery mechanisms. Implement authentication, authorization, and data-access controls across APIs, AI agents, tools, and underlying data sources. Ensure sensitive healthcare and enterprise data is handled securely and in accordance with applicable organizational policies. Establish observability through application logging, distributed tracing, performance monitoring, and error reporting. Monitor production AI quality, response latency, operational costs, and failure rates. Analyze production feedback and failures, convert findings into reproducible test cases, and drive measurable improvements. Optimize application performance, scalability, reliability, and cloud operating costs. Data Engineering & Analytical Integrity Develop and optimize SQL queries, relational data models, and data-access services. Ensure analytical results are accurate, reproducible, and supported by traceable source data. Address data-quality challenges, including missing values, inconsistencies, numerical precision, and aggregation accuracy. Work closely with business stakeholders and healthcare domain experts to validate analytical findings and communicate uncertainty and system limitations. Required Qualifications 8+ years of professional software engineering experience delivering and supporting secure, scalable enterprise applications. Hands-on experience designing and developing agentic AI applications using LLMs, tool calling, structured outputs, prompt engineering, and multi-step workflows. Strong full-stack development experience with Angular, C#/.NET Web APIs, and Python. Practical experience building AI evaluation and quality pipelines, including evaluation datasets, scoring methodologies, automated regression testing, and human-in-the-loop validation. Demonstrated ability to use evaluation results and production feedback to improve AI application quality and reliability. Strong experience with SQL, relational database design, data modeling, and analytical data processing. Experience building and deploying cloud-native applications using Microsoft Azure. Hands-on experience with CI/CD pipelines, automated unit testing, integration testing, and end-to-end testing. Strong understanding of enterprise application security, authentication, authorization, secure API design, and data-access controls. Experience implementing observability, distributed tracing, asynchronous processing, and fault-tolerant application architectures. Strong analytical, problem-solving, communication, and collaboration skills. Ability to work independently and effectively collaborate with engineering teams, product owners, and business/domain experts. Preferred Qualifications Experience implementing retrieval-augmented generation (RAG), including document ingestion, embedding generation, vector search, retrieval strategies, and grounding evaluation. Experience with healthcare analytics, enterprise reporting platforms, or data-intensive applications involving sensitive information. Experience transitioning AI proof-of-concept solutions into production-grade enterprise applications. Familiarity with AI quality metrics, LLM-as-a-judge approaches, semantic evaluation, groundedness assessment, and human evaluation workflows. Experience optimizing AI application performance, model selection, inference latency, token consumption, and cloud operating costs. Familiarity with Azure AI services and enterprise AI application architecture.
Job Description Intellibus Consulting is a boutique engineering and AI transformation firm that builds mission-critical platforms for global financial institutions. We operate at the intersection of engineering excellence, business outcomes, and executive-level delivery. At Intellibus, our leaders are hands-on builders who understand technology deeply, engage confidently with senior executives, and take ownership of client success. We believe successful technology transformation requires leaders who can connect business strategy, architecture, engineering, and execution Job Description We are looking for exceptional Forward Deployed Engineers with deep hands-on software engineering expertise, particularly in Java, backend engineering, full-stack development, microservices, and distributed systems. This is a highly technical, client-facing engineering role that requires someone who can move seamlessly between architecture, software development, solution delivery, and executive-level client engagement. You will work directly with client engineering teams, technology leaders, and business stakeholders to understand complex challenges, design technical solutions, and lead the development and implementation of enterprise-grade platforms. Beyond engineering delivery, you will play an important role in expanding strategic client relationships by identifying technology opportunities, recommending solutions, demonstrating technical capabilities, and helping grow existing accounts. We are specifically looking for engineers who have worked in technology consulting or professional services environments and are comfortable taking ownership of both technical delivery and client relationships. Key Responsibilities Hands-on Software Engineering & Architecture Design, develop, and deliver scalable enterprise applications using Java and modern software engineering technologies. Demonstrate deep hands-on expertise in Java, Spring Boot, Spring Framework, REST APIs, and backend application development. Build complex microservices-based architectures, distributed systems, and event-driven applications. Develop full-stack solutions with strong backend capabilities and practical frontend development experience. Work across the entire software development lifecycle, from architecture and design through coding, testing, deployment, and production support. Lead technical implementation while remaining actively involved in writing and reviewing code. Develop reusable components, APIs, integrations, and enterprise application frameworks. Troubleshoot performance bottlenecks, scalability challenges, concurrency issues, and complex production defects. Backend, Frontend & Full-Stack Development Build backend services using Java, Spring Boot, Hibernate, JPA, and related technologies. Design and implement RESTful APIs, microservices, and enterprise integrations. Develop frontend applications using React, JavaScript, TypeScript, HTML, and CSS. Integrate frontend applications with backend services and enterprise platforms. Work with relational and NoSQL databases, including PostgreSQL, Oracle, MongoDB, or similar technologies. Implement authentication, authorization, security, and API integration patterns. Ensure application performance, maintainability, reliability, and scalability. Microservices & Cloud-Native Engineering Design and implement microservices architectures and distributed application platforms. Work with messaging and event-streaming technologies such as Apache Kafka. Build asynchronous processing, event-driven integrations, and resilient distributed services. Apply design patterns for service discovery, fault tolerance, circuit breakers, and distributed transactions. Deploy and operate applications on AWS, Azure, or GCP. Work with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation. Apply observability practices using logging, monitoring, tracing, and performance management tools. Understand cloud-native architecture, scalability, availability, and system reliability. AI & Agentic Engineering Explore and implement AI-powered enterprise applications and intelligent workflows. Integrate LLMs and AI capabilities into existing enterprise applications and platforms. Develop AI agents, tool-calling workflows, and agent orchestration capabilities. Work with retrieval-augmented generation (RAG), vector databases, and enterprise data integrations. Identify opportunities to apply AI and automation to solve client business and technology challenges. Build practical prototypes and take successful AI solutions through production implementation. Client Consulting & Strategic Account Growth Work directly with client CTOs, CIOs, engineering leaders, architects, and business stakeholders. Understand client technology environments, business priorities, and strategic challenges. Translate business problems into technical solutions and actionable engineering roadmaps. Lead technical discovery sessions, architecture discussions, solution demonstrations, and client workshops. Identify opportunities for platform modernization, application development, cloud transformation, and AI adoption. Help expand existing client engagements by identifying new projects, engineering opportunities, and areas where Intellibus can add value. Build trusted relationships with client stakeholders and contribute to long-term account growth. Prepare technical proposals, solution presentations, architecture diagrams, and executive-level materials. Collaborate with leadership and account teams to shape new opportunities and support business development. Required Technical Expertise Java & Backend Engineering Extensive hands-on experience with Java and Spring Boot. Strong understanding of OOP, multithreading, concurrency, collections, JVM fundamentals, and performance optimization. Experience with REST APIs, Hibernate, JPA, and enterprise application development. Strong knowledge of backend architecture and enterprise integration patterns. Full-Stack Development Experience building frontend applications using React, JavaScript, and TypeScript. Ability to independently work across backend and frontend components. Strong understanding of API integration and application architecture. Microservices & Distributed Systems Deep experience designing and implementing microservices architectures. Strong knowledge of Kafka, event-driven systems, messaging, and distributed computing. Understanding of scalability, resiliency, fault tolerance, and high-availability architecture. Cloud & DevOps Experience with AWS, Azure, or GCP. Hands-on experience with Docker, Kubernetes, CI/CD, and cloud-native deployments. Familiarity with Terraform or other infrastructure-as-code tools is preferred. AI & Modern Engineering Exposure to LLM integrations, generative AI, AI agents, and agentic workflows. Experience integrating AI capabilities into enterprise software is highly desirable. Required Consulting & Client Engagement Experience Previous experience working for a technology consulting firm, systems integrator, or professional services organization is mandatory. Demonstrated experience delivering technology solutions for external enterprise clients. Ability to manage multiple technical stakeholders and work across different client environments. Strong executive communication and presentation skills. Ability to identify additional technology opportunities and contribute to account expansion. Comfortable operating in fast-paced consulting environments where priorities and client requirements can evolve. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience. Significant professional software engineering experience, ideally 8+ years. Extensive hands-on Java and backend engineering experience. Proven experience building enterprise-grade microservices and distributed systems. Full-stack development experience with modern frontend frameworks. Previous consulting or professional services experience is mandatory. Experience working in financial services, banking, fintech, or other regulated industries is strongly preferred. What Success Looks Like You can independently design, code, and deliver complex enterprise applications. You bring deep technical expertise in Java, backend engineering, full-stack development, and microservices. You can engage with client engineering teams and senior executives with equal confidence. You identify opportunities to solve broader client challenges beyond the immediate assignment. You help strengthen client relationships and contribute to expanding strategic accounts. You take ownership of solutions from initial discovery through architecture, implementation, and production deployment. Who Should Apply? We are looking for engineers who are not limited to writing code against predefined requirements. . click apply for full job details
11/14/2026
Full time
Job Description Intellibus Consulting is a boutique engineering and AI transformation firm that builds mission-critical platforms for global financial institutions. We operate at the intersection of engineering excellence, business outcomes, and executive-level delivery. At Intellibus, our leaders are hands-on builders who understand technology deeply, engage confidently with senior executives, and take ownership of client success. We believe successful technology transformation requires leaders who can connect business strategy, architecture, engineering, and execution Job Description We are looking for exceptional Forward Deployed Engineers with deep hands-on software engineering expertise, particularly in Java, backend engineering, full-stack development, microservices, and distributed systems. This is a highly technical, client-facing engineering role that requires someone who can move seamlessly between architecture, software development, solution delivery, and executive-level client engagement. You will work directly with client engineering teams, technology leaders, and business stakeholders to understand complex challenges, design technical solutions, and lead the development and implementation of enterprise-grade platforms. Beyond engineering delivery, you will play an important role in expanding strategic client relationships by identifying technology opportunities, recommending solutions, demonstrating technical capabilities, and helping grow existing accounts. We are specifically looking for engineers who have worked in technology consulting or professional services environments and are comfortable taking ownership of both technical delivery and client relationships. Key Responsibilities Hands-on Software Engineering & Architecture Design, develop, and deliver scalable enterprise applications using Java and modern software engineering technologies. Demonstrate deep hands-on expertise in Java, Spring Boot, Spring Framework, REST APIs, and backend application development. Build complex microservices-based architectures, distributed systems, and event-driven applications. Develop full-stack solutions with strong backend capabilities and practical frontend development experience. Work across the entire software development lifecycle, from architecture and design through coding, testing, deployment, and production support. Lead technical implementation while remaining actively involved in writing and reviewing code. Develop reusable components, APIs, integrations, and enterprise application frameworks. Troubleshoot performance bottlenecks, scalability challenges, concurrency issues, and complex production defects. Backend, Frontend & Full-Stack Development Build backend services using Java, Spring Boot, Hibernate, JPA, and related technologies. Design and implement RESTful APIs, microservices, and enterprise integrations. Develop frontend applications using React, JavaScript, TypeScript, HTML, and CSS. Integrate frontend applications with backend services and enterprise platforms. Work with relational and NoSQL databases, including PostgreSQL, Oracle, MongoDB, or similar technologies. Implement authentication, authorization, security, and API integration patterns. Ensure application performance, maintainability, reliability, and scalability. Microservices & Cloud-Native Engineering Design and implement microservices architectures and distributed application platforms. Work with messaging and event-streaming technologies such as Apache Kafka. Build asynchronous processing, event-driven integrations, and resilient distributed services. Apply design patterns for service discovery, fault tolerance, circuit breakers, and distributed transactions. Deploy and operate applications on AWS, Azure, or GCP. Work with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation. Apply observability practices using logging, monitoring, tracing, and performance management tools. Understand cloud-native architecture, scalability, availability, and system reliability. AI & Agentic Engineering Explore and implement AI-powered enterprise applications and intelligent workflows. Integrate LLMs and AI capabilities into existing enterprise applications and platforms. Develop AI agents, tool-calling workflows, and agent orchestration capabilities. Work with retrieval-augmented generation (RAG), vector databases, and enterprise data integrations. Identify opportunities to apply AI and automation to solve client business and technology challenges. Build practical prototypes and take successful AI solutions through production implementation. Client Consulting & Strategic Account Growth Work directly with client CTOs, CIOs, engineering leaders, architects, and business stakeholders. Understand client technology environments, business priorities, and strategic challenges. Translate business problems into technical solutions and actionable engineering roadmaps. Lead technical discovery sessions, architecture discussions, solution demonstrations, and client workshops. Identify opportunities for platform modernization, application development, cloud transformation, and AI adoption. Help expand existing client engagements by identifying new projects, engineering opportunities, and areas where Intellibus can add value. Build trusted relationships with client stakeholders and contribute to long-term account growth. Prepare technical proposals, solution presentations, architecture diagrams, and executive-level materials. Collaborate with leadership and account teams to shape new opportunities and support business development. Required Technical Expertise Java & Backend Engineering Extensive hands-on experience with Java and Spring Boot. Strong understanding of OOP, multithreading, concurrency, collections, JVM fundamentals, and performance optimization. Experience with REST APIs, Hibernate, JPA, and enterprise application development. Strong knowledge of backend architecture and enterprise integration patterns. Full-Stack Development Experience building frontend applications using React, JavaScript, and TypeScript. Ability to independently work across backend and frontend components. Strong understanding of API integration and application architecture. Microservices & Distributed Systems Deep experience designing and implementing microservices architectures. Strong knowledge of Kafka, event-driven systems, messaging, and distributed computing. Understanding of scalability, resiliency, fault tolerance, and high-availability architecture. Cloud & DevOps Experience with AWS, Azure, or GCP. Hands-on experience with Docker, Kubernetes, CI/CD, and cloud-native deployments. Familiarity with Terraform or other infrastructure-as-code tools is preferred. AI & Modern Engineering Exposure to LLM integrations, generative AI, AI agents, and agentic workflows. Experience integrating AI capabilities into enterprise software is highly desirable. Required Consulting & Client Engagement Experience Previous experience working for a technology consulting firm, systems integrator, or professional services organization is mandatory. Demonstrated experience delivering technology solutions for external enterprise clients. Ability to manage multiple technical stakeholders and work across different client environments. Strong executive communication and presentation skills. Ability to identify additional technology opportunities and contribute to account expansion. Comfortable operating in fast-paced consulting environments where priorities and client requirements can evolve. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience. Significant professional software engineering experience, ideally 8+ years. Extensive hands-on Java and backend engineering experience. Proven experience building enterprise-grade microservices and distributed systems. Full-stack development experience with modern frontend frameworks. Previous consulting or professional services experience is mandatory. Experience working in financial services, banking, fintech, or other regulated industries is strongly preferred. What Success Looks Like You can independently design, code, and deliver complex enterprise applications. You bring deep technical expertise in Java, backend engineering, full-stack development, and microservices. You can engage with client engineering teams and senior executives with equal confidence. You identify opportunities to solve broader client challenges beyond the immediate assignment. You help strengthen client relationships and contribute to expanding strategic accounts. You take ownership of solutions from initial discovery through architecture, implementation, and production deployment. Who Should Apply? We are looking for engineers who are not limited to writing code against predefined requirements. . click apply for full job details
Locations: Atlanta Chicago Brooklyn Who We Are At Inverto North America, we're shaping the future of procurement and supply chain, and we're doing it with ambition, pace, and purpose. Backed by BCG and driven by our own entrepreneurial spirit, we work globally with market-leading clients to deliver strategies that make businesses stronger. Our people are at the heart of that impact. We're experts in our field, and we don't stand still. We grow our capabilities, expand our offering, and scale our global presence together. Our success opens new doors for everyone here, and we make sure that growth is shared. Over the last few years, we've made big investments in our ability to bring digital and AI-based tools to our clients, including a center of excellence focused on the Digital, Data & AI topic. As we build and expand our existing team of Digital, Data & AI experts, we're looking for individuals who bring data, digital tools, and AI methods into real consulting projects that create measurable value in procurement and supply chain management. If you want to make a tangible difference, build lasting client relationships, and shape what comes next - we'd love to have you with us. What You'll Do In the Manager and Senior Manager roles in Digital, Data, and AI, you won't just gather insights - you'll turn them into action. Consulting work is varied and rigorous, much of it is performed at our client sites. You'll actively work with clients to implement our digital and AI-based solutions in real world contexts to help clients unlock value and shape their technological future. You won't just execute - you'll shape direction. You'll lead stakeholder conversations, translate workshop insights into clear sourcing strategies, and deliver recommendations that enable confident, business-critical decisions. As part of a fast-growing practice and an even faster-growing center of excellence, you'll have the space to shape your journey. Whether you're looking to deepen your expertise, explore new industries, or take the next step in your consulting career, we'll support you with tailored development and real responsibility. This is your opportunity to lead from the front, grow with purpose, and shape what's next - alongside a team that shares your drive. As part of a high-growth company, with accelerated opportunities you will be responsible for: Lead and deliver strategic Data & AI engagements. Own end-to-end delivery of advanced analytics and AI projects across procurement and supply chain use cases. Oversee workstreams involving data transformation, predictive modeling, automation, and GenAI applications. Manage complex stakeholder environments, guide delivery teams, and ensure outcomes are aligned with client objectives. Engage with digital, IT, and business leadership. Prepare and lead senior client meetings, steering committees, and workshops. Translate complex data and AI concepts into clear, actionable recommendations that drive measurable business impact. Turn data into decisions. Lead the design and execution of analytical solutions - ranging from data pipelines and dashboards to predictive models and AI-enabled tools. Synthesize insights from large, complex datasets and build robust, data-backed business cases to support transformation initiatives. Shape the evolution of Data Analytics & AI. Drive the development of new digital and AI offerings, reusable assets, and scalable solutions. Contribute innovative ideas on how emerging technologies (e.g., GenAI, automation, advanced analytics) can create value in procurement and supply chain. Contribute to winning new work. Play a key role in business development by contributing to proposals, client pitches, and opportunity assessments. Bring subject-matter expertise in data, analytics, and AI to shape compelling go-to-market narratives and tailored client solutions. Support and scale expertise. Act as a mentor and coach for junior team members. Lead project teams, provide guidance on technical and analytical approaches, and ensure high-quality, consistent delivery across engagements. Build and maintain knowledge assets. Lead the creation and refinement of internal tools, code libraries, benchmarks, and best practices. Strengthen the firm's data and AI knowledge base to enable faster, insight-driven decision making. Shape our internal community. Take ownership of roles within the Data, Analytics & AI community - supporting recruitment, capability building, training initiatives, and the continued growth of the practice. What You'll Bring 5-6+ years of professional experience in data analytics, AI, or digital consulting, with a strong track record of delivering client-facing projects. Bachelor's degree from an accredited university (Master's preferred) in a relevant field (e.g., Data Science, Engineering, Computer Science, Economics, or similar). Proven ability to lead client engagements, manage teams, and drive project outcomes in data and analytics contexts. Strong experience working with data analysis, visualization, and transformation tools (e.g., SQL, Power BI, Excel), combined with hands-on expertise in Python for analytics, automation, or AI workflows. Experience with cloud platforms (Azure preferred) and/or modern data ecosystems. Practical exposure to AI and GenAI technologies (e.g., LLMs, APIs, retrieval-based systems, or workflow orchestration tools) and their business applications. Ability to translate complex business problems-particularly in procurement and supply chain-into scalable analytics and AI solutions. Strong communication and stakeholder management skills, with the ability to bridge technical and business audiences. Results-driven mindset with a proactive, ownership-oriented approach. Business-fluent written and spoken English. Willingness to travel based on client and project needs. An entrepreneurial, collaborative mindset with a passion for innovation and team development. Consulting mindset and behaviors: independence, structured thinking, clear communication of insights, and the confidence to influence clients and stakeholders. Results-oriented mindset with a high level of personal accountability. Willingness to travel to work with clients and Inverto teams. At times, this role will require significant travel to client sites. The amount of travel will depend on client needs and nature of projects. An authentic, entrepreneurial spirit that thrives through team collaboration. Who You'll Work With Talented, highly driven colleagues with deep expertise in procurement, tech sourcing, and related fields. Entrepreneurial thinkers with a strong growth mindset and passion for procurement and supply chain. Teammates who bring energy, focus, and real-world value-creation experience. Authentic, collaborative people who elevate the team and support each other to succeed. Additional info Travel is anticipated and will vary based on specific project locations. What We Offer: At BCG, we care about our people, and offer best in class benefits to support you personally and professionally including: An opportunity to work organically across disciplines and across BCG, we offer a unified and unrivaled opportunity that combines strategic thinking with hands-on applications. A unique experience to work alongside a team of passionate and driven problem-solvers with a mission to deliver innovative and valuable digital solutions in a supportive environment. For U.S. Applicants: The base compensation for this role is: Manager: $200,000 in USD Project Manager: $210,000 in USD In addition to your base salary, you will also be eligible for an annual discretionary performance bonus and BCG's Profit Sharing and Retirement Fund (PSRF) contribution. BCG also provides a market leading benefits package described below. At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children. $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs. Dental coverage, including up to $5,000 (USD) in orthodontia benefits. Vision insurance with coverage for both glasses and contact lenses annually. Reimbursement for gym memberships and other fitness activities. Fully vested retirement contributions made annually, whether you contribute or not. Generous paid time off including vacation, holidays, and annual office closure between Christmas and New Years. Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement. Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. To learn more about our employee benefit please check our Benefits page. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national . click apply for full job details
11/14/2026
Full time
Locations: Atlanta Chicago Brooklyn Who We Are At Inverto North America, we're shaping the future of procurement and supply chain, and we're doing it with ambition, pace, and purpose. Backed by BCG and driven by our own entrepreneurial spirit, we work globally with market-leading clients to deliver strategies that make businesses stronger. Our people are at the heart of that impact. We're experts in our field, and we don't stand still. We grow our capabilities, expand our offering, and scale our global presence together. Our success opens new doors for everyone here, and we make sure that growth is shared. Over the last few years, we've made big investments in our ability to bring digital and AI-based tools to our clients, including a center of excellence focused on the Digital, Data & AI topic. As we build and expand our existing team of Digital, Data & AI experts, we're looking for individuals who bring data, digital tools, and AI methods into real consulting projects that create measurable value in procurement and supply chain management. If you want to make a tangible difference, build lasting client relationships, and shape what comes next - we'd love to have you with us. What You'll Do In the Manager and Senior Manager roles in Digital, Data, and AI, you won't just gather insights - you'll turn them into action. Consulting work is varied and rigorous, much of it is performed at our client sites. You'll actively work with clients to implement our digital and AI-based solutions in real world contexts to help clients unlock value and shape their technological future. You won't just execute - you'll shape direction. You'll lead stakeholder conversations, translate workshop insights into clear sourcing strategies, and deliver recommendations that enable confident, business-critical decisions. As part of a fast-growing practice and an even faster-growing center of excellence, you'll have the space to shape your journey. Whether you're looking to deepen your expertise, explore new industries, or take the next step in your consulting career, we'll support you with tailored development and real responsibility. This is your opportunity to lead from the front, grow with purpose, and shape what's next - alongside a team that shares your drive. As part of a high-growth company, with accelerated opportunities you will be responsible for: Lead and deliver strategic Data & AI engagements. Own end-to-end delivery of advanced analytics and AI projects across procurement and supply chain use cases. Oversee workstreams involving data transformation, predictive modeling, automation, and GenAI applications. Manage complex stakeholder environments, guide delivery teams, and ensure outcomes are aligned with client objectives. Engage with digital, IT, and business leadership. Prepare and lead senior client meetings, steering committees, and workshops. Translate complex data and AI concepts into clear, actionable recommendations that drive measurable business impact. Turn data into decisions. Lead the design and execution of analytical solutions - ranging from data pipelines and dashboards to predictive models and AI-enabled tools. Synthesize insights from large, complex datasets and build robust, data-backed business cases to support transformation initiatives. Shape the evolution of Data Analytics & AI. Drive the development of new digital and AI offerings, reusable assets, and scalable solutions. Contribute innovative ideas on how emerging technologies (e.g., GenAI, automation, advanced analytics) can create value in procurement and supply chain. Contribute to winning new work. Play a key role in business development by contributing to proposals, client pitches, and opportunity assessments. Bring subject-matter expertise in data, analytics, and AI to shape compelling go-to-market narratives and tailored client solutions. Support and scale expertise. Act as a mentor and coach for junior team members. Lead project teams, provide guidance on technical and analytical approaches, and ensure high-quality, consistent delivery across engagements. Build and maintain knowledge assets. Lead the creation and refinement of internal tools, code libraries, benchmarks, and best practices. Strengthen the firm's data and AI knowledge base to enable faster, insight-driven decision making. Shape our internal community. Take ownership of roles within the Data, Analytics & AI community - supporting recruitment, capability building, training initiatives, and the continued growth of the practice. What You'll Bring 5-6+ years of professional experience in data analytics, AI, or digital consulting, with a strong track record of delivering client-facing projects. Bachelor's degree from an accredited university (Master's preferred) in a relevant field (e.g., Data Science, Engineering, Computer Science, Economics, or similar). Proven ability to lead client engagements, manage teams, and drive project outcomes in data and analytics contexts. Strong experience working with data analysis, visualization, and transformation tools (e.g., SQL, Power BI, Excel), combined with hands-on expertise in Python for analytics, automation, or AI workflows. Experience with cloud platforms (Azure preferred) and/or modern data ecosystems. Practical exposure to AI and GenAI technologies (e.g., LLMs, APIs, retrieval-based systems, or workflow orchestration tools) and their business applications. Ability to translate complex business problems-particularly in procurement and supply chain-into scalable analytics and AI solutions. Strong communication and stakeholder management skills, with the ability to bridge technical and business audiences. Results-driven mindset with a proactive, ownership-oriented approach. Business-fluent written and spoken English. Willingness to travel based on client and project needs. An entrepreneurial, collaborative mindset with a passion for innovation and team development. Consulting mindset and behaviors: independence, structured thinking, clear communication of insights, and the confidence to influence clients and stakeholders. Results-oriented mindset with a high level of personal accountability. Willingness to travel to work with clients and Inverto teams. At times, this role will require significant travel to client sites. The amount of travel will depend on client needs and nature of projects. An authentic, entrepreneurial spirit that thrives through team collaboration. Who You'll Work With Talented, highly driven colleagues with deep expertise in procurement, tech sourcing, and related fields. Entrepreneurial thinkers with a strong growth mindset and passion for procurement and supply chain. Teammates who bring energy, focus, and real-world value-creation experience. Authentic, collaborative people who elevate the team and support each other to succeed. Additional info Travel is anticipated and will vary based on specific project locations. What We Offer: At BCG, we care about our people, and offer best in class benefits to support you personally and professionally including: An opportunity to work organically across disciplines and across BCG, we offer a unified and unrivaled opportunity that combines strategic thinking with hands-on applications. A unique experience to work alongside a team of passionate and driven problem-solvers with a mission to deliver innovative and valuable digital solutions in a supportive environment. For U.S. Applicants: The base compensation for this role is: Manager: $200,000 in USD Project Manager: $210,000 in USD In addition to your base salary, you will also be eligible for an annual discretionary performance bonus and BCG's Profit Sharing and Retirement Fund (PSRF) contribution. BCG also provides a market leading benefits package described below. At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children. $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs. Dental coverage, including up to $5,000 (USD) in orthodontia benefits. Vision insurance with coverage for both glasses and contact lenses annually. Reimbursement for gym memberships and other fitness activities. Fully vested retirement contributions made annually, whether you contribute or not. Generous paid time off including vacation, holidays, and annual office closure between Christmas and New Years. Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement. Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. To learn more about our employee benefit please check our Benefits page. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national . click apply for full job details
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 .
Locations: Atlanta Chicago Brooklyn Who We Are At Inverto North America, we're shaping the future of procurement and supply chain, and we're doing it with ambition, pace, and purpose. Backed by BCG and driven by our own entrepreneurial spirit, we work globally with market-leading clients to deliver strategies that make businesses stronger. Our people are at the heart of that impact. We're experts in our field, and we don't stand still. We grow our capabilities, expand our offering, and scale our global presence together. Our success opens new doors for everyone here, and we make sure that growth is shared. Over the last few years, we've made big investments in our ability to bring digital and AI-based tools to our clients, including a center of excellence focused on the Digital, Data & AI topic. As we build and expand our existing team of Digital, Data & AI experts, we're looking for individuals who bring data, digital tools, and AI methods into real consulting projects that create measurable value in procurement and supply chain management. If you want to make a tangible difference, build lasting client relationships, and shape what comes next - we'd love to have you with us. What You'll Do In the Manager and Senior Manager roles in Digital, Data, and AI, you won't just gather insights - you'll turn them into action. Consulting work is varied and rigorous, much of it is performed at our client sites. You'll actively work with clients to implement our digital and AI-based solutions in real world contexts to help clients unlock value and shape their technological future. You won't just execute - you'll shape direction. You'll lead stakeholder conversations, translate workshop insights into clear sourcing strategies, and deliver recommendations that enable confident, business-critical decisions. As part of a fast-growing practice and an even faster-growing center of excellence, you'll have the space to shape your journey. Whether you're looking to deepen your expertise, explore new industries, or take the next step in your consulting career, we'll support you with tailored development and real responsibility. This is your opportunity to lead from the front, grow with purpose, and shape what's next - alongside a team that shares your drive. As part of a high-growth company, with accelerated opportunities you will be responsible for: Lead and deliver strategic Data & AI engagements. Own end-to-end delivery of advanced analytics and AI projects across procurement and supply chain use cases. Oversee workstreams involving data transformation, predictive modeling, automation, and GenAI applications. Manage complex stakeholder environments, guide delivery teams, and ensure outcomes are aligned with client objectives. Engage with digital, IT, and business leadership. Prepare and lead senior client meetings, steering committees, and workshops. Translate complex data and AI concepts into clear, actionable recommendations that drive measurable business impact. Turn data into decisions. Lead the design and execution of analytical solutions - ranging from data pipelines and dashboards to predictive models and AI-enabled tools. Synthesize insights from large, complex datasets and build robust, data-backed business cases to support transformation initiatives. Shape the evolution of Data Analytics & AI. Drive the development of new digital and AI offerings, reusable assets, and scalable solutions. Contribute innovative ideas on how emerging technologies (e.g., GenAI, automation, advanced analytics) can create value in procurement and supply chain. Contribute to winning new work. Play a key role in business development by contributing to proposals, client pitches, and opportunity assessments. Bring subject-matter expertise in data, analytics, and AI to shape compelling go-to-market narratives and tailored client solutions. Support and scale expertise. Act as a mentor and coach for junior team members. Lead project teams, provide guidance on technical and analytical approaches, and ensure high-quality, consistent delivery across engagements. Build and maintain knowledge assets. Lead the creation and refinement of internal tools, code libraries, benchmarks, and best practices. Strengthen the firm's data and AI knowledge base to enable faster, insight-driven decision making. Shape our internal community. Take ownership of roles within the Data, Analytics & AI community - supporting recruitment, capability building, training initiatives, and the continued growth of the practice. What You'll Bring 5-6+ years of professional experience in data analytics, AI, or digital consulting, with a strong track record of delivering client-facing projects. Bachelor's degree from an accredited university (Master's preferred) in a relevant field (e.g., Data Science, Engineering, Computer Science, Economics, or similar). Proven ability to lead client engagements, manage teams, and drive project outcomes in data and analytics contexts. Strong experience working with data analysis, visualization, and transformation tools (e.g., SQL, Power BI, Excel), combined with hands-on expertise in Python for analytics, automation, or AI workflows. Experience with cloud platforms (Azure preferred) and/or modern data ecosystems. Practical exposure to AI and GenAI technologies (e.g., LLMs, APIs, retrieval-based systems, or workflow orchestration tools) and their business applications. Ability to translate complex business problems-particularly in procurement and supply chain-into scalable analytics and AI solutions. Strong communication and stakeholder management skills, with the ability to bridge technical and business audiences. Results-driven mindset with a proactive, ownership-oriented approach. Business-fluent written and spoken English. Willingness to travel based on client and project needs. An entrepreneurial, collaborative mindset with a passion for innovation and team development. Consulting mindset and behaviors: independence, structured thinking, clear communication of insights, and the confidence to influence clients and stakeholders. Results-oriented mindset with a high level of personal accountability. Willingness to travel to work with clients and Inverto teams. At times, this role will require significant travel to client sites. The amount of travel will depend on client needs and nature of projects. An authentic, entrepreneurial spirit that thrives through team collaboration. Who You'll Work With Talented, highly driven colleagues with deep expertise in procurement, tech sourcing, and related fields. Entrepreneurial thinkers with a strong growth mindset and passion for procurement and supply chain. Teammates who bring energy, focus, and real-world value-creation experience. Authentic, collaborative people who elevate the team and support each other to succeed. Additional info Travel is anticipated and will vary based on specific project locations. What We Offer: At BCG, we care about our people, and offer best in class benefits to support you personally and professionally including: An opportunity to work organically across disciplines and across BCG, we offer a unified and unrivaled opportunity that combines strategic thinking with hands-on applications. A unique experience to work alongside a team of passionate and driven problem-solvers with a mission to deliver innovative and valuable digital solutions in a supportive environment. For U.S. Applicants: The base compensation for this role is: Manager: $200,000 in USD Project Manager: $210,000 in USD In addition to your base salary, you will also be eligible for an annual discretionary performance bonus and BCG's Profit Sharing and Retirement Fund (PSRF) contribution. BCG also provides a market leading benefits package described below. At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children. $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs. Dental coverage, including up to $5,000 (USD) in orthodontia benefits. Vision insurance with coverage for both glasses and contact lenses annually. Reimbursement for gym memberships and other fitness activities. Fully vested retirement contributions made annually, whether you contribute or not. Generous paid time off including vacation, holidays, and annual office closure between Christmas and New Years. Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement. Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. To learn more about our employee benefit please check our Benefits page. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national . click apply for full job details
11/14/2026
Full time
Locations: Atlanta Chicago Brooklyn Who We Are At Inverto North America, we're shaping the future of procurement and supply chain, and we're doing it with ambition, pace, and purpose. Backed by BCG and driven by our own entrepreneurial spirit, we work globally with market-leading clients to deliver strategies that make businesses stronger. Our people are at the heart of that impact. We're experts in our field, and we don't stand still. We grow our capabilities, expand our offering, and scale our global presence together. Our success opens new doors for everyone here, and we make sure that growth is shared. Over the last few years, we've made big investments in our ability to bring digital and AI-based tools to our clients, including a center of excellence focused on the Digital, Data & AI topic. As we build and expand our existing team of Digital, Data & AI experts, we're looking for individuals who bring data, digital tools, and AI methods into real consulting projects that create measurable value in procurement and supply chain management. If you want to make a tangible difference, build lasting client relationships, and shape what comes next - we'd love to have you with us. What You'll Do In the Manager and Senior Manager roles in Digital, Data, and AI, you won't just gather insights - you'll turn them into action. Consulting work is varied and rigorous, much of it is performed at our client sites. You'll actively work with clients to implement our digital and AI-based solutions in real world contexts to help clients unlock value and shape their technological future. You won't just execute - you'll shape direction. You'll lead stakeholder conversations, translate workshop insights into clear sourcing strategies, and deliver recommendations that enable confident, business-critical decisions. As part of a fast-growing practice and an even faster-growing center of excellence, you'll have the space to shape your journey. Whether you're looking to deepen your expertise, explore new industries, or take the next step in your consulting career, we'll support you with tailored development and real responsibility. This is your opportunity to lead from the front, grow with purpose, and shape what's next - alongside a team that shares your drive. As part of a high-growth company, with accelerated opportunities you will be responsible for: Lead and deliver strategic Data & AI engagements. Own end-to-end delivery of advanced analytics and AI projects across procurement and supply chain use cases. Oversee workstreams involving data transformation, predictive modeling, automation, and GenAI applications. Manage complex stakeholder environments, guide delivery teams, and ensure outcomes are aligned with client objectives. Engage with digital, IT, and business leadership. Prepare and lead senior client meetings, steering committees, and workshops. Translate complex data and AI concepts into clear, actionable recommendations that drive measurable business impact. Turn data into decisions. Lead the design and execution of analytical solutions - ranging from data pipelines and dashboards to predictive models and AI-enabled tools. Synthesize insights from large, complex datasets and build robust, data-backed business cases to support transformation initiatives. Shape the evolution of Data Analytics & AI. Drive the development of new digital and AI offerings, reusable assets, and scalable solutions. Contribute innovative ideas on how emerging technologies (e.g., GenAI, automation, advanced analytics) can create value in procurement and supply chain. Contribute to winning new work. Play a key role in business development by contributing to proposals, client pitches, and opportunity assessments. Bring subject-matter expertise in data, analytics, and AI to shape compelling go-to-market narratives and tailored client solutions. Support and scale expertise. Act as a mentor and coach for junior team members. Lead project teams, provide guidance on technical and analytical approaches, and ensure high-quality, consistent delivery across engagements. Build and maintain knowledge assets. Lead the creation and refinement of internal tools, code libraries, benchmarks, and best practices. Strengthen the firm's data and AI knowledge base to enable faster, insight-driven decision making. Shape our internal community. Take ownership of roles within the Data, Analytics & AI community - supporting recruitment, capability building, training initiatives, and the continued growth of the practice. What You'll Bring 5-6+ years of professional experience in data analytics, AI, or digital consulting, with a strong track record of delivering client-facing projects. Bachelor's degree from an accredited university (Master's preferred) in a relevant field (e.g., Data Science, Engineering, Computer Science, Economics, or similar). Proven ability to lead client engagements, manage teams, and drive project outcomes in data and analytics contexts. Strong experience working with data analysis, visualization, and transformation tools (e.g., SQL, Power BI, Excel), combined with hands-on expertise in Python for analytics, automation, or AI workflows. Experience with cloud platforms (Azure preferred) and/or modern data ecosystems. Practical exposure to AI and GenAI technologies (e.g., LLMs, APIs, retrieval-based systems, or workflow orchestration tools) and their business applications. Ability to translate complex business problems-particularly in procurement and supply chain-into scalable analytics and AI solutions. Strong communication and stakeholder management skills, with the ability to bridge technical and business audiences. Results-driven mindset with a proactive, ownership-oriented approach. Business-fluent written and spoken English. Willingness to travel based on client and project needs. An entrepreneurial, collaborative mindset with a passion for innovation and team development. Consulting mindset and behaviors: independence, structured thinking, clear communication of insights, and the confidence to influence clients and stakeholders. Results-oriented mindset with a high level of personal accountability. Willingness to travel to work with clients and Inverto teams. At times, this role will require significant travel to client sites. The amount of travel will depend on client needs and nature of projects. An authentic, entrepreneurial spirit that thrives through team collaboration. Who You'll Work With Talented, highly driven colleagues with deep expertise in procurement, tech sourcing, and related fields. Entrepreneurial thinkers with a strong growth mindset and passion for procurement and supply chain. Teammates who bring energy, focus, and real-world value-creation experience. Authentic, collaborative people who elevate the team and support each other to succeed. Additional info Travel is anticipated and will vary based on specific project locations. What We Offer: At BCG, we care about our people, and offer best in class benefits to support you personally and professionally including: An opportunity to work organically across disciplines and across BCG, we offer a unified and unrivaled opportunity that combines strategic thinking with hands-on applications. A unique experience to work alongside a team of passionate and driven problem-solvers with a mission to deliver innovative and valuable digital solutions in a supportive environment. For U.S. Applicants: The base compensation for this role is: Manager: $200,000 in USD Project Manager: $210,000 in USD In addition to your base salary, you will also be eligible for an annual discretionary performance bonus and BCG's Profit Sharing and Retirement Fund (PSRF) contribution. BCG also provides a market leading benefits package described below. At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children. $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs. Dental coverage, including up to $5,000 (USD) in orthodontia benefits. Vision insurance with coverage for both glasses and contact lenses annually. Reimbursement for gym memberships and other fitness activities. Fully vested retirement contributions made annually, whether you contribute or not. Generous paid time off including vacation, holidays, and annual office closure between Christmas and New Years. Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement. Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. To learn more about our employee benefit please check our Benefits page. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national . click apply for full job details
Job Description Software Engineer $180- $250,000 Python & Event Driven Architectures New York Albert Bow have partnered with an AI platform, that are transforming how investment professionals work! Their clients span private equity, investment banking, private credit, and alternative asset management. They've built an "intelligent deal workspace" that helps dealmakers accelerate sourcing, due diligence, portfolio monitoring, and investor relations through agentic AI. The Role As a Backend Software Engineer, you'll be responsible for building the server-side architecture that powers their platform. You'll work directly with their Client Success, Product, and Engineering teams to develop robust, scalable solutions that handle the demanding workflows of institutional investors. Key Responsibilities Server-side architecture: Design and implement backend logic for data processing, integration workflows, and agentic AI orchestration Database design & optimization: Create and maintain efficient database schemas (MongoDB, Redis) with a focus on data integrity and security API development: Build and maintain RESTful APIs that enable seamless communication between frontend, backend, and third-party integrations (Datasite, Grata, etc.) What You Bring Advanced Python proficiency with production-grade code quality RESTful API development experience designing, building, and maintaining APIs MongoDB and Redis expertise - comfortable working with both document and in-memory data stores Distributed systems & multi-threading knowledge - strong experience with event driven architectures, Rabbit MQ, Kafka, Pub Sub. Interest in LLMs and generative AI - familiarity with how language models are integrated into applications Problem-solving ability and collaborative mindset in a fast-paced environment Location: New York, NY (Hybrid - 3 days/week in office) Up to $250,000 + bonus structure
11/14/2026
Full time
Job Description Software Engineer $180- $250,000 Python & Event Driven Architectures New York Albert Bow have partnered with an AI platform, that are transforming how investment professionals work! Their clients span private equity, investment banking, private credit, and alternative asset management. They've built an "intelligent deal workspace" that helps dealmakers accelerate sourcing, due diligence, portfolio monitoring, and investor relations through agentic AI. The Role As a Backend Software Engineer, you'll be responsible for building the server-side architecture that powers their platform. You'll work directly with their Client Success, Product, and Engineering teams to develop robust, scalable solutions that handle the demanding workflows of institutional investors. Key Responsibilities Server-side architecture: Design and implement backend logic for data processing, integration workflows, and agentic AI orchestration Database design & optimization: Create and maintain efficient database schemas (MongoDB, Redis) with a focus on data integrity and security API development: Build and maintain RESTful APIs that enable seamless communication between frontend, backend, and third-party integrations (Datasite, Grata, etc.) What You Bring Advanced Python proficiency with production-grade code quality RESTful API development experience designing, building, and maintaining APIs MongoDB and Redis expertise - comfortable working with both document and in-memory data stores Distributed systems & multi-threading knowledge - strong experience with event driven architectures, Rabbit MQ, Kafka, Pub Sub. Interest in LLMs and generative AI - familiarity with how language models are integrated into applications Problem-solving ability and collaborative mindset in a fast-paced environment Location: New York, NY (Hybrid - 3 days/week in office) Up to $250,000 + bonus structure
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)
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.
