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Tier-1 brand plus metro locations but highly specialized agentic AI role, so medium competition.
Highly specialized agentic/Generative AI skills are transferable across industries but still require niche experience, so medium sensitivity.
Explicit 12+ years requirement plus deep generative/agentic AI and specific tool mandates raises shortlisting strictness to high.
Drive the design and integration of generative and agentic AI solutions across an enterprise Controls Technology platform, focusing on architecting scalable and grounded AI applications and multi-agent systems.
Develop and optimize advanced context engineering, retrieval-augmented generation (RAG) systems, knowledge graphs, and multi-agent orchestration using frameworks like Google ADK.
Ensure production readiness by managing deployment scalability, observability, maintenance, and responsible AI compliance, while mentoring junior engineers and fostering technical excellence.
12+ years total experience with 5–7 years specifically in AI/software development including generative and agentic AI.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
Proven experience with building agentic AI systems using Google ADK or similar frameworks and with RAG systems, knowledge graphs, and multi-agent orchestration patterns.
Experience with cloud infrastructure such as AWS, containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI applications.
Deep technical expertise in generative AI concepts, context engineering, prompt engineering, and retrieval systems with practical experience deploying production AI systems.
Skilled in designing and orchestrating multi-agent systems, agent harnesses, and interoperability protocols (MCP, A2A) in complex enterprise environments.
Experienced in mentoring, cross-functional collaboration, and maintaining AI compliance, governance, and ethical guardrails in scalable AI implementations.