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Strong Tier-1 brand, metro hiring, and broad GenAI leadership requirements drive high candidate competition.
Deep Generative AI, agentic systems, and LLMOps expertise limit cross-industry transferability.
Multiple explicit years, leadership, and specialized GenAI toolset requirements make screening highly strict.
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Own end-to-end delivery of generative and agentic AI solutions across enterprise Controls Technology, including architecting and deploying production-ready applications using pre-trained and hosted foundation models.
Lead and manage a team of AI engineers, overseeing project lifecycle from ideation through deployment and post-launch support, ensuring alignment with business goals and timelines.
Drive agentic AI workflows and multi-agent system orchestration, establish standards for agent harnesses and ensure solutions meet performance, security, and quality standards.
8+ years experience in AI/ML, with at least 3 years focused on Generative AI including agentic AI.
5+ years leadership experience managing technical teams delivering complex AI or software solutions.
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field (PhD preferred).
Extensive hands-on experience with AWS services and infrastructure for AI/GenAI.
Proven track record of delivering complex, large-scale generative and agentic AI projects into production business environments.
Strong expertise in advanced generative AI concepts including context engineering, retrieval-augmented generation, multi-agent orchestration, and agent harness management.
Experienced in Agile/Scrum program management and stakeholder communication bridging technical and business teams.