What are the responsibilities and job description for the Senior Data & AI Engineer position at Capgemini Engineering?
About The Job You’re Considering
AI Agent Developer – SDLC Acceleration
Location: Austin, TX
Role Overview
We are seeking an AI Agent Developer to design, build, and scale agentic AI solutions that accelerate the Software Development Lifecycle (SDLC). The role focuses on creating intelligent agents that automate requirement analysis, coding, testing, observability, and DevSecOps workflows across Python, .NET, Angular, and enterprise-scale platforms. The ideal candidate will combine deep technical skills with business acumen, enabling enterprise adoption of AI-driven development practices while ensuring governance, scalability, and self-healing automation.
Your role
Key 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.
Collaboration & Adoption
Partner with developers, DevOps teams, and business stakeholders to gather requirements and showcase solutions.
Drive organization-wide adoption of intelligent agents, ensuring governance and monitoring.
Provide AI-generated explanations and learning pathways to improve developer productivity.
Primary Skills
Your skills and experience
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 demonstration, executive presentations.
Secondary Skills
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.
Outcome Expected of this Role
For Developers: Reduced manual review, AI-assisted learning, consistent quality standards.
For Organizations: Self-healing systems, proactive risk mitigation, continuous improvement.
For DevOps Teams: Intelligent CI/CD, automated remediation, comprehensive monitoring.
Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
Get the future you want | www.capgemini.com
Disclaimer
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.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
AI Agent Developer – SDLC Acceleration
Location: Austin, TX
Role Overview
We are seeking an AI Agent Developer to design, build, and scale agentic AI solutions that accelerate the Software Development Lifecycle (SDLC). The role focuses on creating intelligent agents that automate requirement analysis, coding, testing, observability, and DevSecOps workflows across Python, .NET, Angular, and enterprise-scale platforms. The ideal candidate will combine deep technical skills with business acumen, enabling enterprise adoption of AI-driven development practices while ensuring governance, scalability, and self-healing automation.
Your role
Key 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.
Collaboration & Adoption
Partner with developers, DevOps teams, and business stakeholders to gather requirements and showcase solutions.
Drive organization-wide adoption of intelligent agents, ensuring governance and monitoring.
Provide AI-generated explanations and learning pathways to improve developer productivity.
Primary Skills
Your skills and experience
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 demonstration, executive presentations.
Secondary Skills
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.
Outcome Expected of this Role
For Developers: Reduced manual review, AI-assisted learning, consistent quality standards.
For Organizations: Self-healing systems, proactive risk mitigation, continuous improvement.
For DevOps Teams: Intelligent CI/CD, automated remediation, comprehensive monitoring.
Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
- 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
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
Get the future you want | www.capgemini.com
Disclaimer
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.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
