GenAI LeadLead the design, development, and scaling of enterprise Generative AI products across Healthcare, Life Sciences, and BFSI.Key Responsibilities

- Define GenAI product vision, roadmap, use cases, and technical strategy.

- Architect and productionize LLM, RAG, and multi-agent solutions.

- Build agentic workflows using Lang Chain, Lang Graph, Crew AI, and tool orchestration.

- Develop scalable AI services using Python, Fast API, vector databases, and cloud platforms.

- Establish LLM Ops, evaluation, observability, security, and AI governance.

- Translate business requirements into scalable AI solutions and measurable outcomes.

- Partner with executive/client stakeholders on solution strategy, adoption, and ROI.

- Lead technical teams, design reviews, mentoring,



and delivery from PoC to production.

Required Skills

- 8-12+ years in software/AI engineering with solid GenAI/LLM experience.

- Hands-on RAG, LLMs, AI agents, prompt engineering, embeddings, and vector search.

- Strong Python and cloud/microservices experience.

- Experience with Lang Chain/Lang Graph/Crew AI, Pinecone/Chroma DB, and LLM evaluation.

- Strong architecture, stakeholder management, and technical leadership skills.

- Healthcare/Life Sciences or other regulated-industry experience preferred.

📌 GenAI Lead (Bangalore Rural)
🏢 Quess
📍 Bangalore Rural