Enterprise GenAI Solutions Manager

4 days ago

Nellore, Andhra Pradesh, India beBeeGenai Full time ₹ 30,00,000 - ₹ 40,00,000
About the Role

We are seeking a seasoned Program Manager to lead enterprise application programs with a strong emphasis on implementing GenAI use cases in real production environments.

This role requires direct, hands-on experience delivering GenAI/LLM solutions into production — not just involvement in strategy, PoCs, or backend technical assistance.

  • Lead end-to-end execution of GenAI/LLM initiatives, ensuring live deployment — not just pilot or development-phase efforts
  • Deliver use cases such as RAG-based search, AI assistants, and workflow automation within enterprise systems
  • Manage large-scale application portfolios across functions
  • Work with engineering, data, and architecture teams to integrate AI into core business platforms
  • Oversee stakeholder governance, change enablement, and enterprise-wide adoption
  • Ensure all GenAI solutions are production-grade, secure, and scalable
Key Responsibilities

You will own and drive the following:

  • End-to-end execution of GenAI/LLM initiatives
  • Delivery of use cases like RAG-based search, AI assistants, and workflow automation
  • Management of large-scale application portfolios
  • Integration of AI into core business platforms
  • Stakeholder governance, change enablement, and enterprise-wide adoption
  • Production-grade, secure, and scalable GenAI solutions

This is not a strategy or support role — we are specifically looking for someone who has taken GenAI/LLM initiatives from idea to deployment, fully integrated into live enterprise systems.

Requirements

To be considered for this role, you must have:

  • Demonstrated experience delivering at least one GenAI/LLM solution into production in an enterprise setting
  • 10+ years of enterprise program management experience
  • Strong understanding of GenAI system architecture: RAG, embeddings, vector DBs, Langchain or equivalent
  • Proven leadership working across business, data, engineering, and platform teams
  • Excellent communication, stakeholder alignment, and governance skills

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