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Mid-level, metro-based engagement role with common title increases candidate density despite AI specialization.
Requires AI/LLM-specific expertise alongside PM skills, making cross-industry transfer moderately constrained.
Explicit 6–9 year requirement plus mandatory LLM, GenAI and cloud skills create stringent shortlisting filters.
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Manage end-to-end project delivery, including team leadership, customer relations, and maintaining high-quality outcomes within timelines and budgets.
Drive AI-driven engagements focusing on LLM lifecycle, Retrieval-Augmented Generation (RAG), Agentic AI, ensuring technical feasibility, governance, and alignment with business goals.
Collaborate across global teams and client stakeholders to define technical roadmaps, infrastructure, and optimize AI workflows while supporting program governance and financial tracking.
6 to 9 years of relevant work experience.
Must have practical knowledge of Generative AI, Agentic AI, and cloud platforms (GCP/AWS/Azure).
Working understanding of LLM lifecycle, Prompt Engineering, RAG systems, and Agentic Orchestration frameworks such as LangGraph and LangChain.
Location requirement: Bangalore or Mumbai.
Experienced in delivering small to medium scale AI projects leveraging LLMs like GPT, Llama, Claude, etc.
Strong operational and stakeholder management skills with ability to manage multiple concurrent projects adopting Agile methodologies.
Technical ability to translate complex AI technical concepts to business solutions and lead multidisciplinary teams including ML engineers, data scientists, and software developers.