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Tier-1 employer, metro location, and visible AI leadership increase applicant interest but seniority narrows pool.
Requires bank controls, model-risk, CyberArk and regulated-enterprise delivery, making cross-industry transfer difficult.
Explicit 10+ years, 3+ years AI experience, and many mandatory technical and governance skills enforce high selectivity.
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Lead strategy, development, and implementation of enterprise-scale AI and control automation initiatives.
Architect and deliver end-to-end AI solutions including agentic/multi-agent systems, prompt engineering, and secure infrastructure integration.
Drive governance, risk management, and regulatory compliance related to AI while engaging senior stakeholders and coordinating cross-functional teams.
10+ years in technology delivery with at least 3 years designing and deploying production-grade AI/GenAI solutions.
Expert-level skills in SQL, Advanced SAS, EDW, Big Data, Oracle in a UNIX environment.
Deep knowledge of agentic AI frameworks, LLM orchestration, prompt/context engineering, Retrieval-Augmented Generation (RAG).
Familiarity with CyberArk FID architecture, NDM processes, and experience delivering complex technical solutions in regulated enterprises.
Experienced leader capable of managing and mentoring engineering teams in both traditional data analytics and advanced AI development.
Strategic thinker skilled at translating complex business needs into scalable, governed AI architectures aligned with enterprise standards.
Strong communicator and trusted advisor with proven ability to influence senior management and navigate audit/regulatory environments.