GEN AI

Key Responsibilities:
Define and own the end-to-end architecture of GenAI solutions
Design, prototype, and implement LLM-based systems, including RAG pipelines, fine-tuning, and prompt engineering.
Lead evaluation and integration of foundation models (OpenAI, Claude, Mistral, Meta, etc.) and open-source alternatives (LLaMA, Falcon,etc.).
Collaborate with cross-functional teams (Data, DevOps, Product, Security) to integrate GenAI into enterprise systems securely and at scale.
Architect LangChain, Haystack, or similar frameworks for orchestration of tool use and agentic workflows.
Guide teams on model fine-tuning, embeddings, vector store design, and knowledge base integration.
* Stay current with GenAI research and industry trends, and drive adoption of relevant innovations.
Mentor and lead junior AI engineers and data scientists.
Interface with stakeholders to translate business needs into technical architectures and scalable GenAI solutions.