AI Agent Developer – SDLC Acceleration-081476 Description

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.

Your skills and experience Primary Skills

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