Lead Agentic AI SDLC Engineer

We are seeking a hands-on engineer to design and implement a secure, governed Agentic AI software development lifecycle. The role will build AI agents that support architecture decisions, requirements, design, task creation, development, QA, security review, and delivery.

Responsibilities

- Design and implement specification-driven AI agents across the SDLC.
- Create agent prompts, policies, configurations, and structured handoffs.
- Integrate agents with Git, CI/CD, issue tracking, and engineering tools through MCP or APIs.
- Enforce least-privilege access, human approval gates, and separation of duties.
- Implement end-to-end traceability from architecture decisions to requirements, code, tests, commits, and merge requests.
- Build observability and audit capabilities for all agent and tool interactions.
- Establish evaluation, security,



and quality controls for AI-generated outputs.
- Deliver pilot workflows and support adoption across engineering teams.

Required experience
- Solid software engineering or platform engineering background.
- Hands-on experience with generative AI, LLM agents, tool calling, or workflow orchestration.
- Proficiency in Python and experience with Java or another enterprise language.
- Knowledge of GitOps, CI/CD, secure software development, threat modeling, and least-privilege design.
- Experience integrating APIs, developer tools, observability platforms, and policy controls.
- Ability to work across engineering, architecture, security, and governance teams.

📌 Lead Agentic AI Engineer-Opening with CAPCO (Bengaluru)
🏢 CAPCO
📍 Bengaluru