





Senior, niche AI leadership role reduces applicant density despite Citi's strong employer brand.
Requires deep AI/MLOps and governance experience, favoring banking domain specialists.
Regulated-bank VP role with mandatory technical, governance, and leadership requirements enforces strict screening.
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Lead and mentor a team of AI engineers and automation specialists focused on Third-Party Management risk assessment and monitoring.
Define and execute strategic AI and automation roadmap, overseeing end-to-end delivery of enterprise-grade AI solutions (including LLMs, RAG, agentic AI).
Act as key business partner managing stakeholder relations, ensuring compliance, and driving AI governance and best practices across projects.
Bachelor’s degree in Computer Science, Engineering, Mathematics or related field; Master’s preferred.
Proven leadership managing technical teams of engineers/data scientists.
Strong hands-on experience in Python programming including building REST APIs and backend applications.
Experience delivering complex technical projects end-to-end in AI, analytics, or software engineering.
Experienced in leading AI/automation teams in complex enterprise environments, particularly with LLM application development and automation platforms like Xceptor.
Strategic thinker with ability to align AI solutions to business value, skilled in stakeholder management and cross-functional collaboration.
Technically expert in Python, AI engineering, and deploying scalable, compliant AI services with focus on MLOps/LLMOps and enterprise governance.