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Tier-1 brand and metro locations increase applicants, but niche senior agentic AI specialization reduces competition.
Specialized agentic AI and enterprise controls knowledge moderately reduce cross-industry transferability.
Explicit 12+ years and many mandatory agentic AI skills/protocols create highly stringent shortlisting filters.
Design and implement advanced generative and agentic AI solutions including context engineering, retrieval-augmented generation (RAG), and multi-agent orchestration for business challenges.
Architect robust, scalable AI agent systems with governance, feedback loops, memory management, and tool integrations adhering to compliance and ethical guidelines.
Lead end-to-end integration and deployment of AI solutions in production environments ensuring observability, reliability, and team mentorship.
12+ years total experience with 5-7 years in AI/software development, including significant generative and agentic AI experience.
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
Proven hands-on expertise with generative AI models, prompt engineering, RAG systems, knowledge graphs, and agentic AI frameworks (Google ADK or comparable).
Experience with cloud infrastructure (AWS or equivalent), containerization (Docker), orchestration (Kubernetes), and CI/CD for AI applications.
Senior-level expert with proven ability to architect and deliver complex, multi-agent AI solutions incorporating advanced context and retrieval strategies.
Experienced operator in production AI environments emphasizing scalability, observability, and compliance within enterprise settings.
Technically deep professional comfortable bridging cross-functional teams, mentoring juniors, and advancing state-of-the-art generative AI and agentic system capabilities.