Strategic AI Leader

1 day ago


Chennai, Tamil Nadu, India beBeeProgram Full time ₹ 1,89,39,426 - ₹ 2,61,98,491
AI Program Manager

We are seeking an AI Program Manager to lead the strategic rollout and scaling of AI initiatives across the enterprise.

Responsibilities:

  • Drive enterprise-wide AI strategy execution with a focus on GenAI, Agentic AI frameworks, and advanced LLM-based use cases.
  • Lead program planning, budgeting, resourcing, and milestone tracking across multiple AI workstreams.
  • Collaborate with AI architects, data scientists, business units, and product leaders to translate innovation into production.
  • Govern AI delivery pipelines, prioritizing use cases that demonstrate ROI, operational efficiency, or competitive differentiation.
  • Oversee the implementation of agentic AI solutions using tools like LangChain, LangGraph, and vector databases.
  • Ensure scalable and secure deployment of models built on Transformer architectures (e.g., BERT, GPT, LLaMA).
  • Champion responsible AI practices, including fairness, bias mitigation, auditability, and regulatory compliance.

Requirements:

  • 12+ years of overall experience, with 5+ years in AI/ML program or portfolio leadership roles.
  • Strong understanding of GenAI models, Transformer architectures, and their application in real-world scenarios.
  • Proven experience delivering production-grade AI systems using open-source and commercial platforms.
  • Familiarity with agent-based architecture and orchestration tools like LanGraph, LangChain, AutoGen, or similar.
  • Experience managing large, distributed, and cross-functional teams across geographies.
  • Expertise in Agile/SAFe methodologies and enterprise program governance.
  • Bachelors or masters degree in computer science, Engineering, Data Science, or related field; MBA preferred.
  • Certifications such as PMP, PROSCI, or Agile SAFe are a plus.

Preferred Skills:

  • Experience integrating AI into enterprise platforms such as CRM, ERP, ITSM, or data lakes.
  • Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG (Retrieval-Augmented Generation) techniques.
  • Strong vendor management and contract negotiation capabilities.
  • Track record of scaling GenAI/LLM programs from PoC to enterprise deployment.


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