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Tier-1 brand and Bangalore metro increase competition, but seniority and niche AI focus limit applicant density.
Role requires deep AI/ML program experience and governance, making skills less transferable across unrelated industries.
Explicit 12+ years, mandatory AI/ML deployment experience, governance and tool expertise indicate very strict shortlisting.
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Own end-to-end delivery of enterprise AI, ML, and Generative AI projects from concept through production.
Lead AI governance including Responsible AI reviews, model evaluation, risk management, and compliance.
Manage cross-functional collaboration and drive AI performance monitoring, executive reporting, and organizational adoption.
12+ years of Technical Program Management experience in fast-paced environments.
Demonstrated success deploying AI/ML and Generative AI solutions in live production.
Strong expertise with LLMs, RAG, vector search, MLOps/LLMOps, and cloud AI platforms (Azure AI, AWS Bedrock, Google Vertex AI, or OpenAI APIs).
Experience using project management tools such as Jira, Azure DevOps, Workfront, or equivalents.
Experienced in managing enterprise-scale AI transformation and business process modernization programs.
Skilled at hybrid Agile delivery models including Kanban, Sprint, and experimentation-driven execution.
Capable of leading AI governance frameworks, risk management, and cross-disciplinary stakeholder engagement at senior levels.