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Mid-level Bengaluru role with moderate global brand and sought-after GenAI/MLOps skills.
Specialized GenAI, Copilot and LLM product ownership skills limit cross-industry transferability.
Explicit 5+ years plus mandatory ML/LLM, Copilot and governance skills make filtering strict.
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Own the product lifecycle, roadmap, and adoption of enterprise Copilot-based AI and Generative AI solutions, including managing AI use cases and agent lifecycle.
Lead enablement and support for AI Champions ecosystem, facilitating use case development and scaling across business functions.
Ensure AI governance compliance and integrate GenAI solutions with enterprise platforms like AWS and Snowflake.
Minimum 5+ years in Machine Learning, Data Science, AI Engineering or related roles with GenAI and LLM exposure.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
Hands-on experience or strong exposure to Microsoft Copilot or similar enterprise GenAI platforms.
Proficiency in Python and SQL; understanding AI governance (PIA/BIA, security, privacy, DLP).
Experienced in managing AI product ownership and federated AI model environments with strong stakeholder management.
Technically skilled in LLM concepts such as prompt engineering, RAG, agent-based systems, conversational AI, and multi-agent workflows.
Familiar with enterprise AI solution integration including AWS and Snowflake data platforms and governance frameworks.