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Senior, niche GenAI architect role and specialized skillset limit applicant pool despite Pune metro location.
Highly domain-specific GenAI, LLM and agentic architecture skills strongly limit cross-industry transferability.
Explicit 12–15 years plus mandatory GenAI/LLM and architecture expertise creates a very strict filter.
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Define and lead end-to-end architecture and strategy for enterprise GenAI platforms and scalable agentic AI systems.
Lead design and implementation of complex agentic workflows, RAG pipelines, and prompt architecture ensuring retrieval accuracy, cost and latency optimizations.
Drive development of GenAI platforms, APIs, and microservices with integration to enterprise data platforms and collaborate on CI/CD, deployment, monitoring and governance including LLM guardrails and responsible AI practices.
12–15 years total experience with at least 3 years specifically in GenAI / LLM-based systems.
Proven experience leading architecture and delivery of enterprise AI/GenAI solutions.
Strong production-grade Python/Pyspark development skills with API integration experience.
Hands-on experience with LLMs (Claude, OpenAI, etc.), RAG pipelines, LangChain or similar, and cloud platforms (Azure/AWS/GCP).
Experienced in architecting scalable agentic AI systems using multi-agent, orchestration frameworks and hybrid approaches (RAG, fine-tuning).
Proficient in end-to-end GenAI solution delivery including governance, evaluation, and operational excellence within enterprise environments.
Capable of technical leadership and client stakeholder engagement including presenting to senior leadership and driving CoE and capability building initiatives.