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Mid-level, generalist product role with AI focus at a mid-tier firm creates moderate competition.
Strong AI/GenAI program requirement and governance expertise increases industry-specific background sensitivity.
Explicit years plus mandatory large-scale AI program experience and governance requirements make shortlisting highly selective.
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Lead end-to-end delivery of large-scale AI/GenAI programs including agentic workflows, ML platforms, and enterprise AI solutions.
Manage multi-stream programs with distributed teams across product, engineering and data science, ensuring delivery against timelines, budgets, and quality benchmarks.
Drive program governance, stakeholder alignment, and adherence to Responsible AI standards including risk mitigation related to bias and model governance.
3-6 years of experience in technology delivery/program management.
5+ years managing AI/ML/GenAI programs at scale.
Strong technical understanding of AI/ML lifecycle, GenAI architectures, LLMs, RAG, and cloud platforms (AWS, Azure, GCP).
Location: India (Onsite/Hybrid). Bachelor's or Master's degree in any stream.
Experienced in managing large, multi-million-dollar AI/GenAI programs with cross-functional leadership and program governance capabilities.
Skilled in driving Agile/Hybrid delivery models and managing multi-stream distributed teams.
Capable of ensuring compliance with Responsible AI standards and governance frameworks in high-pressure, delivery-driven environments.