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Metro, mid-seniority generalist program role with AI requirements, resulting in medium competition.
Program management skills transfer broadly, but required LLM/GenAI expertise increases role specificity.
Explicit 6–9 years plus mandatory LLM/GenAI and cloud skills creates high shortlisting strictness.
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Manage end-to-end delivery of AI and LLM-based projects ensuring scope, quality, timelines, budget, and high customer satisfaction.
Lead cross-functional teams (ML engineers, data scientists, developers) and collaborate with global stakeholders to deliver AI solutions using LLMs, RAG, and Agentic AI.
Drive AI governance, technical architecture decisions, and operational excellence with emphasis on LLMOps and Agentic workflow lifecycles.
6 to 9 years of relevant work experience.
Strong understanding of Generative AI, Agentic AI, LLM lifecycle, RAG systems, and Agentic orchestration frameworks (e.g., LangGraph, LangChain).
Working knowledge of Cloud platforms such as GCP, AWS, or Azure.
Experience with Agile project management, JIRA, and Google Workspace tools.
Experienced in managing small to medium scale AI projects leveraging LLM technologies (e.g., GPT, Llama, Claude).
Capable of technical leadership bridging AI technology and business goals, with skills in roadmap development for LLM-based solutions and AI governance.
Skilled in stakeholder management, program governance, and multitasking across multiple projects in a fast-paced environment.