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Tier-1 brand, metro location, and common PM title increase applicant competition.
AI project and governance requirements increase domain specificity, though PM skills remain transferable.
Explicit 8–12 years and mandatory AI project experience enforce strict screening.
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Lead and manage multiple end-to-end AI/ML and Generative AI projects including planning, execution, and delivery.
Coordinate cross-functional teams including data scientists, engineers, and business stakeholders to ensure timely, quality outcomes aligned with business goals.
Oversee project governance, reporting, risk management, and transition of AI models from experimentation to production.
8-12 years experience in technology project management with at least 3 years managing AI/ML projects including GenAI/LLM use cases.
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
Strong understanding of AI/ML project lifecycle and experience working with cross-functional technical and business teams.
On-premise work schedule requirement.
Experienced in managing complex AI/ML project portfolios involving traditional ML, LLMs/GenAI, RAG, and agentic applications.
Proficient in stakeholder management and comfortable driving governance, compliance, and operational risk mitigation in AI projects.
Familiar with AI/ML productionization processes, project management tools (e.g., Jira, MS Project), and capable of coordinating multi-disciplinary teams.