Capgemini Engineering
AI Agent Developer -agentic AI solutions financial services industry
Capgemini Engineering, Raleigh, North Carolina, United States
Overview
AI Agent Developer – agentic AI solutions for the financial services industry. Design, build, and scale agentic AI solutions that accelerate the Software Development Lifecycle (SDLC). Create intelligent agents that automate requirement analysis, coding, testing, observability, and DevSecOps workflows across Python, .NET, Angular, and enterprise-scale platforms. Enable enterprise adoption of AI-driven development practices with governance, scalability, and self-healing automation. Location
Charlotte, NC Responsibilities
AI Agent Development: design and implement AI agents for requirement analysis, user story generation, and documentation. Build coding and DevSecOps agents to automate design, code generation, unit testing, and security checks. Develop validation agents for test case generation, automation scripts, and synthetic test data. Create observability agents for AIOps, performance insights, and unified monitoring dashboards. Enterprise Integration: integrate LLMs into CI/CD pipelines, SDLC toolchains, and enterprise workflows. Deploy agents across multi-language environments (Python, .NET, Angular). Develop composite actions, reusable workflows, and enterprise-ready deployment patterns. Collaborate with developers, DevOps teams, and business stakeholders to gather requirements and showcase solutions. Governance and Adoption: drive organization-wide adoption of intelligent agents, ensuring governance and monitoring. Provide AI-generated explanations and learning pathways to improve developer productivity. Translate system requirements into comprehensive test strategies with cross-functional teams. Skills Application: Proficient in AI agent development tools and frameworks; strong emphasis on integrating automation into enterprise SDLC pipelines and observability. Qualifications
Strong expertise in AI Agent Development (LangChain, AutoGen, CrewAI, or similar). Proficiency in LLMs integration for automation across SDLC phases. Ability to design and build observability and AIOps agents. Experience in prompt engineering, workflow orchestration, and self-healing systems. Proven track record in integrating automation into enterprise SDLC pipelines. Strong client-facing skills: requirements gathering, solution demonstrations, executive presentations. Hands-on with CI/CD tools (GitHub Actions, Octopus). Experience with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, OpenShift). Knowledge of software testing frameworks and QA automation tools. Familiarity with observability platforms (Dynatrace, Splunk, ELK). Understanding of enterprise security, governance, and risk management in AI adoption. Excellent communication skills for both technical and business stakeholders. Life at Capgemini
Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations accelerate their digital and sustainable transformation with measurable impact. It employs a diverse team across more than 50 countries and leverages AI, cloud, data, and industry expertise to deliver end-to-end services. Disclaimer / Equal Opportunity
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. Capgemini may capture imagery during the interview process for verification during hiring and onboarding. Applicants in the US must have valid work authorization without requiring visa sponsorship. For more information on equal employment opportunity rights, please visit the Capgemini rights page. Seniority level
Associate Employment type
Full-time Job function
Engineering and Information Technology Industries
IT Services and IT Consulting
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AI Agent Developer – agentic AI solutions for the financial services industry. Design, build, and scale agentic AI solutions that accelerate the Software Development Lifecycle (SDLC). Create intelligent agents that automate requirement analysis, coding, testing, observability, and DevSecOps workflows across Python, .NET, Angular, and enterprise-scale platforms. Enable enterprise adoption of AI-driven development practices with governance, scalability, and self-healing automation. Location
Charlotte, NC Responsibilities
AI Agent Development: design and implement AI agents for requirement analysis, user story generation, and documentation. Build coding and DevSecOps agents to automate design, code generation, unit testing, and security checks. Develop validation agents for test case generation, automation scripts, and synthetic test data. Create observability agents for AIOps, performance insights, and unified monitoring dashboards. Enterprise Integration: integrate LLMs into CI/CD pipelines, SDLC toolchains, and enterprise workflows. Deploy agents across multi-language environments (Python, .NET, Angular). Develop composite actions, reusable workflows, and enterprise-ready deployment patterns. Collaborate with developers, DevOps teams, and business stakeholders to gather requirements and showcase solutions. Governance and Adoption: drive organization-wide adoption of intelligent agents, ensuring governance and monitoring. Provide AI-generated explanations and learning pathways to improve developer productivity. Translate system requirements into comprehensive test strategies with cross-functional teams. Skills Application: Proficient in AI agent development tools and frameworks; strong emphasis on integrating automation into enterprise SDLC pipelines and observability. Qualifications
Strong expertise in AI Agent Development (LangChain, AutoGen, CrewAI, or similar). Proficiency in LLMs integration for automation across SDLC phases. Ability to design and build observability and AIOps agents. Experience in prompt engineering, workflow orchestration, and self-healing systems. Proven track record in integrating automation into enterprise SDLC pipelines. Strong client-facing skills: requirements gathering, solution demonstrations, executive presentations. Hands-on with CI/CD tools (GitHub Actions, Octopus). Experience with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, OpenShift). Knowledge of software testing frameworks and QA automation tools. Familiarity with observability platforms (Dynatrace, Splunk, ELK). Understanding of enterprise security, governance, and risk management in AI adoption. Excellent communication skills for both technical and business stakeholders. Life at Capgemini
Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations accelerate their digital and sustainable transformation with measurable impact. It employs a diverse team across more than 50 countries and leverages AI, cloud, data, and industry expertise to deliver end-to-end services. Disclaimer / Equal Opportunity
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. Capgemini may capture imagery during the interview process for verification during hiring and onboarding. Applicants in the US must have valid work authorization without requiring visa sponsorship. For more information on equal employment opportunity rights, please visit the Capgemini rights page. Seniority level
Associate Employment type
Full-time Job function
Engineering and Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr