





Metro location and mid-level program role increase competition, but niche LLM/GenAI requirement reduces applicant pool.
Strong LLM/GenAI and AI delivery experience required, so industry transferability is limited.
Explicit 6–9 years and mandatory LLM/GenAI, cloud, and program management experience.
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Manage end-to-end delivery of AI-driven projects, ensuring quality, timelines, budgets, and customer satisfaction.
Lead technical governance for LLM-based solutions including RAG and Agentic AI, collaborating with cross-functional teams and clients.
Oversee program management including stakeholder engagement, resource utilization, reporting, and team growth in Agile environments.
6 to 9 years of relevant work experience.
Strong understanding of Gen AI, Agentic AI, and LLM lifecycle including RAG and Agentic workflows.
Experience with cloud platforms: GCP/AWS/Azure.
Proficient in project management tools like JIRA and Google Workspace; certifications such as GCP Generative AI Leader or GCP Cloud Digital Leader preferred.
Experienced in managing multiple AI projects leveraging LLM technologies such as GPT, Llama, or Claude at small to medium scales.
Capable of bridging technical and business aspects, articulating high-level solutions and driving AI governance and compliance.
Skilled in program and stakeholder management with demonstrated ability to lead diverse teams and drive delivery in Agile setups.