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Tier-1 brand and Bengaluru metro increase density, but seniority and niche AI focus limit applicant pool.
Specialized ML/AI leadership and agentic AI expertise limit cross-industry transferability.
Explicit 15+ years, 5+ leadership, and specialized ML/AI requirements make shortlisting highly strict.
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Lead strategy, development, and adoption of AI and emerging technologies across the organization to drive measurable business value.
Own the design, build, and continuous improvement of AI agent ecosystems and end-to-end workflows integrating AI with business logic and automation.
Establish responsible AI governance frameworks and collaborate with engineering, product, and delivery teams to operationalize, scale, and measure AI initiatives.
15+ years in technology strategy, innovation, or AI/ML delivery including 5+ years in leadership roles.
Strong knowledge of AI/ML concepts including Generative AI, Large Language Models, MLOps, and enterprise AI architectures.
Proven track record leading cross-functional AI innovation programs and stakeholder management at executive level.
Expertise with cloud AI/ML platforms (e.g., AWS, Azure ML, Databricks) and experience in AI system governance, security, and responsible AI practices.
Strategic leader with deep technical expertise capable of setting long-term technology vision and driving AI adoption at scale.
Experienced in building integrated AI systems and workflows that solve practical business problems beyond prototypes or demos.
Effective collaborator bridging engineering, product, consulting, and business teams, comfortable managing complex stakeholder ecosystems.