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Niche senior GenAI role at a lesser-known firm with only metro-location amplifier reduces competition.
Specialized GenAI, RAG, vector DB and production deployment skills limit cross-industry transferability.
Explicit 12+ years requirement and many mandatory GenAI, cloud, and deployment skills enforce strict filters.
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Design and deploy enterprise-scale Generative AI and AI solutions including RAG and semantic search systems.
Drive technical architecture decisions, implementation best practices, and lead production deployments of AI applications.
Collaborate with stakeholders to translate business requirements into scalable AI solutions and provide mentorship to development teams.
12+ years of relevant experience in AI and solution architecture.
Strong hands-on experience with Python and modern AI frameworks, including Generative AI, LLMs, RAG, embeddings, semantic search, and vector databases.
Experience with cloud platforms AWS and/or Azure, data engineering, analytics platforms, and production CI/CD pipelines.
Familiarity with Graph RAG, Neo4j, LangChain, LangGraph, MCP or similar AI orchestration frameworks, and operational monitoring of AI solutions.
Senior-level technical expert with extensive hands-on experience architecting and deploying large-scale AI solutions, especially in Generative AI and knowledge retrieval systems.
Ability to engage and influence senior stakeholders while driving end-to-end AI solution design and implementation.
Experienced in hybrid cloud and analytics environments, comfortable leading teams and providing technical mentorship in complex AI initiatives.