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Strong employer brand and Bangalore location increase applicants, but seniority and niche GenAI ops skills limit competition.
Requires niche GenAI operations, Azure OpenAI, and regulated-quality experience, making cross-industry transfers difficult.
Explicit 10-year requirement plus mandatory GenAI, Azure OpenAI, ITIL, and MLOps skills make shortlisting highly selective.
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Oversee end-to-end BAU operations for enterprise Generative AI platforms, ensuring high availability, reliability, and performance.
Manage incident, problem, change, and release management applying ITIL best practices, including governance of AI model updates and configurations.
Lead team management, vendor coordination, compliance adherence, risk mitigation, and stakeholder engagement to support stable, secure, and scalable AI services.
Minimum 10 years' experience in IT Operations Management or related roles, with at least 3 years supporting AI/GenAI platforms and services.
Strong hands-on expertise in Generative AI and LLMs (e.g., GPT-4.x, GPT-5.x), Azure Open AI Services, prompt management, API integrations, and AI monitoring tools.
Proven experience in incident, change, and problem management with ITIL best practices including disaster recovery and CI/CD implementation.
Experience managing enterprise-scale AI operations teams, supporting compliance in regulated environments, and understanding data security, privacy, and governance.
Experienced leader in operationalizing and managing large AIOps / MLOps platforms across complex, regulated organizations.
Strong technical background with hands-on involvement in AI operations, cloud infrastructure (especially Azure), security, and compliance frameworks.
Skilled in stakeholder management across technical and non-technical teams, with proven ability to drive service improvement and align AI services with business priorities.