AI Agentic Development & Implementation, Global Services - Director

Citi • New York, NY

9d • $170,000 - $300,000 • Hybrid

About The Position

Citi is seeking 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). PDS powers client servicing, operational excellence, and business growth across the franchise. The role shapes the target vision for agentic AI, translates priority use cases into scalable platform capabilities, and partners across Product, Technology, Architecture, Data Science, Engineering, Risk, and Business teams to develop intelligent, AI-enabled services at global scale.

The position combines strategic, product, and execution accountability: defining how agentic AI is built, governed, and industrialized across Citi. The Director will establish the strategy and roadmap, help convert use cases into production-ready solutions, embed responsible AI and operational controls, and create repeatable processes for taking initiatives from discovery through production. The role also develops internal capabilities and measures adoption, performance, reuse, and business outcomes.

The role is based in New York, New York, with a hybrid working model of three days in the office and two days working remotely. The listed full-time salary range is $170,000 to $300,000. Eligible employees may also receive incentive and retention awards and benefits, which may vary by jurisdiction, job level, and hire date.

Requirements

• 10 or more years of product management, platform strategy, or enterprise technology leadership experience, including delivery of complex, enterprise-scale products.
• Demonstrated experience defining and implementing AI, GenAI, or Agentic AI solutions and 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.
• Product management expertise in roadmap development, product lifecycle management, business case development, prioritization, and value realization.
• Strong commercial and strategic mindset, including the ability to evaluate AI investments, prioritize opportunities, and balance innovation with measurable business outcomes.
• Experience in regulated environments and knowledge of Responsible AI, model governance, security, privacy, operational resilience, and enterprise risk management.
• Outstanding stakeholder management and executive communication skills, with the ability to influence teams and senior leaders across a highly matrixed organization.
• Demonstrated ability to lead cross-functional teams, manage ambiguity, and drive execution across multiple concurrent strategic initiatives.
• Strong analytical and structured problem-solving skills, including the ability to translate complex technical concepts into clear business recommendations and implementation plans.

Nice To Haves

• Experience delivering enterprise AI platforms or developer platforms, including familiarity with large language models, small language models, prompt engineering, evaluation frameworks, and AI observability tooling.
• Experience working directly with AI engineering teams, forward-deployed engineers, or AI platform organizations to take concepts through scaled delivery.
• A track record of leading AI transformation programs, platform modernization initiatives, or enterprise operating model redesign.
• Experience engaging directly with clients on AI strategy, co-creation, or solution design, and working with Architecture Review Boards or enterprise technology governance bodies.
• Background in financial services, payments, treasury, securities services, or transaction banking.

Responsibilities

• Define and execute the Agentic AI strategy and roadmap across Services, aligning the target vision and priorities with business demand, core platform strategy, and enterprise AI standards.
• Partner with Product, Technology, Data Science, and Architecture teams to assess use cases and specify scalable agentic solutions, including patterns and capabilities for planning, orchestration, memory, tools and connectors, multi-agent coordination, and human oversight.
• Lead experimentation, prototyping, and implementation with technology teams, forward-deployed engineers, and strategic technology partners, turning successful concepts into reusable platform capabilities and production-ready design patterns.
• Implement and oversee enterprise agentic design standards for 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.
• Create repeatable methods, playbooks, and governance for moving agentic AI use cases from discovery through production.
• Build internal capability through training and knowledge sharing.
• Track adoption, performance, reuse, and measurable business outcomes to inform investment and roadmap decisions.

Benefits

• Medical, dental, and vision coverage
• 401(k)
• Life, accident, and disability insurance
• Wellness programs
• Paid time off, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
• Eligible employees may receive discretionary and formulaic incentive and retention awards.
• Structured learning and development programs
• Financial wellbeing benefits, including access to long-term financial planning support
• Wellbeing and family support resources for physical, mental, and financial health

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed