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Tier-1 brand but senior, niche GenAI role reduces applicant density.
Role requires deep GenAI and agentic AI expertise, limiting cross-industry transferability.
Explicit 8+ years, 3+ GenAI and 5+ leadership plus specific GenAI tech stack required.
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Lead end-to-end delivery of enterprise-wide generative and agentic AI solutions focused on operational efficiency and business value.
Build and manage a high-performing AI engineering team while overseeing design, deployment, and production-readiness of GenAI and multi-agent systems.
Serve as primary stakeholder liaison, ensuring alignment, risk management, on-time delivery, and integration with cloud, data mesh, and MLOps teams.
8+ years in AI/ML with at least 3 years in Generative AI including agentic AI.
5+ years of leadership experience managing technical teams delivering complex AI/technology projects.
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field (PhD preferred).
Extensive hands-on experience with AWS or equivalent cloud infrastructure for AI/GenAI; proficient in Python and software development best practices (CI/CD, Agile).
Experienced in architecting and operationalizing generative AI solutions using foundation models without model training or fine-tuning focus.
Strong technical competence in context engineering, retrieval-augmented generation, knowledge graphs, multi-agent orchestration, and agent harness engineering.
Demonstrates strategic delivery leadership with proven ability to translate AI strategy into actionable, scalable production solutions in large enterprise environments.