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Tier-1 brand and metro location increase applicants, but niche GenAI seniority and tooling narrow the pool.
Deep Generative AI and agentic engineering expertise required limits cross-industry transferability.
Explicit multi-year requirements and specialized GenAI tooling and leadership demands create high shortlisting strictness.
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Lead end-to-end delivery of generative and agentic AI solutions on the Controls Technology platform, ensuring production readiness and business impact.
Build and mentor AI engineering teams to execute the GenAI roadmap with high quality, security, and compliance standards.
Manage stakeholder communications, risk mitigation, and cross-functional integration with Data Mesh, Cloud, MLOps, and business units.
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field; PhD preferred.
8+ years in AI/ML with at least 3 years in Generative and agentic AI, plus 5+ years of leadership experience managing technical teams.
Extensive hands-on experience with AWS or equivalent cloud infrastructure for AI/GenAI solutions.
Proven delivery of complex AI projects using pre-trained foundation models, advanced AI techniques, and Agile/Scrum methodologies.
Experienced in architecting and operationalizing multi-agent and agentic AI workflows with orchestration and harness engineering expertise.
Strong technical leadership skills to translate strategic AI vision into practical, scalable, and compliant production systems.
Proficient in advanced GenAI techniques including context/prompt engineering, RAG, knowledge graphs, and LLMOps best practices.