AI Agentic Development & Implementation, Global Services - Director

Services provides global solutions that help corporations, financial institutions, public sector and commercial clients optimize operations and drive their business forward. Through our five business lines – Liquidity Management Services, Payments, Trade & Working Capital Solutions, Investor Services and Issuer Services - we provide cash management, payments/receivables solutions, working capital solutions, post-trade securities services and issuer services across Citi’s global network.

Citi is looking for an AI Agentic Development & Implementation - Director to lead the strategic direction and end-to-end delivery of enterprise agentic AI capabilities within Platform and Data Services (PDS), a foundational function that powers client servicing, operational excellence, and business growth across the franchise. In this role, you will shape the target vision for agentic AI, translate priority use cases into scalable platform capabilities, and partner across Product, Technology, Architecture, Data Science, Engineering, Risk, and Business teams to build the next generation of intelligent, AI-enabled services at global scale. This is a rare opportunity to hold strategic, product, and execution accountability simultaneously — defining how agentic AI is built, governed, and industrialized across one of the world’s leading financial institutions.

Responsibilities

• Define and execute the Agentic AI strategy and roadmap: Shape the target vision, priorities and implementation roadmap for agentic AI across Services, aligned with business demand, the core platform strategy, and enterprise AI standards.
• Translate priority use cases into scalable agentic solutions: Partner with Product, Technology, Data Science and Architecture teams to assess use cases and define the required agent patterns, workflows and capabilities, including planning, orchestration, memory, tools and connectors, multi-agent coordination and human oversight.
• Lead agentic implementation and capability industrialization: Drive rapid experimentation, prototyping and implementation technology teams, forward-deployed engineers and strategic technology partners, converting successful concepts into reusable platform capabilities and production-ready design patterns.
• Embed responsible AI, controls and operational resilience: Implement and oversee enterprise agentic design standards covering permissions, security, model and tool selection, evaluation, observability, traceability, exception management, human escalation and lifecycle governance; partner with Risk, Compliance, Model Risk and Architecture to support controlled deployment.
• Establish the agentic operating model and demonstrate value: Create repeatable methods, playbooks and governance for moving agentic use cases from discovery through production; build internal capability through training and knowledge sharing, and track adoption, performance, reuse and measurable business outcomes to inform future investment and roadmap decisions.

Who We’re Looking For

Experience & Qualifications

The ideal candidate combines deep product management expertise with an informed, commercial understanding of AI and the leadership presence to influence at every level of the organization.

Required Skills & Competencies

• 10+ years of product management, platform strategy, or enterprise technology leadership, with demonstrated experience delivering complex, enterprise-scale products.
• Proven experience defining and implementing AI, GenAI, or Agentic AI solutions, including translating business problems into scalable platform capabilities.
• Deep understanding of Agentic AI concepts, including orchestration, multi-agent systems, planning, memory, retrieval-augmented generation (RAG), tool use, MCPs, human-in-the-loop design, and workflow automation.
• Strong enterprise platform and architecture knowledge, including APIs, cloud-native architectures, microservices, event-driven systems, integrations, and reusable platform services.
• Exceptional product management capability, including roadmap development, product lifecycle management, business case development, prioritization, and value realization.
• Strong commercial and strategic mindset, with the ability to evaluate AI investments, prioritize opportunities, and balance innovation with measurable business outcomes.
• Experience operating within regulated environments, with knowledge of Responsible AI, model governance, security, privacy, operationa…