Gen AI Engineer

RAG Pipeline, AgenticAI, Python, Azure The platform should enable teams to build, deploy, and operate AI agents using a variety of development approaches and frameworks while providing a standardized enterprise foundation for orchestration, integration, governance, security, and observability. 

• Proven experience architecting and delivering systems using agentic IDEs Ability to: 
• Define architectural intent that agents can follow 
• Break features into agent executable tasks 
• Govern AI autonomy (guardrails, permissions, reviews) 
• Integrate agentic workflows into CI/CD pipelines Experience supervising AI agents across: 
• Multi service systems 
• Legacy modernization 
• Large codebases / monorepos Strong understanding of: 
• Security implications of autonomous code execution 
• Compliance, auditability, and traceability 
• AI assisted SDLC operating models Core Responsibility: 
• Guide effective use of agentic IDEs for complex, multi-module or cross-service changes 
• Establish review practices and quality checks for AI-generated code 
• Mentor team members on balancing autonomy, correctness, and maintainability in AI-assisted development 
• Design system architectures that support AI-augmented and agentic development workflows 
• Define guardrails, standards, and governance for the use of autonomous coding agents 
• Evaluate impact of agentic IDEs on SDLC, CI/CD pipelines, security posture, and technical debt