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Tier-1 brand and Bengaluru metro increase candidate density, but seniority and niche AI leadership reduce competition.
Deep AI/LLM, MLOps, and enterprise delivery expertise create high domain-specificity and low transferability.
Explicit 15+ years, leadership, and deep LLM/MLOps and governance requirements make filters highly stringent.
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Lead strategy, development, and enterprise-wide adoption of AI and emerging technology initiatives for measurable business impact.
Own design, implementation, and continuous improvement of AI agents and automated workflows integrating business logic and governance.
Manage cross-functional teams, partner with engineering, product, and delivery centers, and present AI innovation roadmaps and business cases to executive leadership.
15+ years in technology strategy, innovation, or AI/ML delivery with 5+ years in leadership roles.
Strong expertise in AI/ML concepts including Generative AI, Large Language Models, ML Ops, and enterprise AI architecture.
Proven experience leading cross-functional AI innovation programs and integration with operational systems and cloud AI platforms.
Work Experience Required: 15+ years with 5+ years in leadership roles; Notice Period: Not explicitly mentioned in the JD.
Demonstrated ability to lead large-scale AI strategic programs aligning technology roadmap with business objectives.
Experienced in building operational AI systems with governance, ethical, and security frameworks in enterprise settings.
Skilled at bridging technical AI teams with business stakeholders and delivery centers to ensure practical adoption and measurable impact.