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Senior niche AI leadership role in Hyderabad metro, limited applicant pool and moderate employer brand.
Strong ML/AI domain and defense-compliance emphasis makes cross-industry transfers difficult.
Requires deep ML/MLOps, AI governance, and defense-compliance expertise, causing stringent candidate filters.
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Own end-to-end delivery of AI projects including strategy, solution design, and implementation from pilot through production.
Define and oversee technical AI architecture ensuring scalability, maintainability, MLOps/LLMOps pipeline integrity, and integration with existing systems.
Manage AI risk, compliance, vendor relationships, cross-functional stakeholder communication, team leadership, and continuous model performance monitoring and improvement.
Experience Required: Not explicitly mentioned in the JD.
Technical expertise in AI/ML models, frameworks, platforms, and AI operational practices (MLOps/LLMOps).
Knowledge of AI risk management, data governance, security/compliance (including GDPR, CCPA, NIST AI RMF, DoD AI ethics principles).
Experience managing multi-disciplinary teams and cross-functional stakeholder relationships in AI project delivery contexts.
Experienced leader in AI strategy and technical implementation managing full project lifecycles from ideation to ROI tracking.
Comfortable balancing experimental AI development with production discipline, and bridging technical and business stakeholder communication.
Skilled in AI risk, compliance, and security within regulated or defense/public sector environments, capable of handling vendor/tool management and multi-team coordination.