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Tier-1 employer and metro location increase competition, but very senior, niche AI leadership reduces density.
Senior AI leadership in a regulated banking context requires domain and leadership experience, limiting cross-industry fit.
Explicit 18+ years, Director title, and strong mandatory AI and delivery leadership requirements imply strict filters.
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Architect, develop, and deploy scalable AI solutions including foundational AI platforms for LLM consumption within the company.
Own end-to-end delivery of large, cross-functional AI programs with accountability for timelines, quality, cost, and risk.
Lead multiple engineering tribes, partnering with stakeholders to drive AI-enabled automation, Agile execution, and responsible AI adoption aligned with governance and risk frameworks.
18+ years of technology delivery and leadership experience; significant time at Director or equivalent level.
Deep working knowledge and active experience in AI/ML including model performance optimization, evaluation frameworks, GenAI applications, and governance.
Strong understanding of modern engineering ecosystems including cloud, distributed systems, DevOps, and data platforms.
Experience delivering large-scale, multi-team initiatives in Agile enterprise environments.
Experienced senior leader with proven capability managing large, cross-functional AI and engineering delivery programs.
Skilled in balancing innovation in AI (including GenAI and automation) with pragmatic risk management and operational stability.
Strong communicator adept at stakeholder engagement and executive reporting within complex enterprise settings.