AI Agentic Development & Implementation, Global Services - Director

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
• 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, operational resilience, and enterprise risk management.
• Outstanding stakeholder management and executive communication skills, with the ability to influence Product, Technology, Architecture, Engineering, Operations, Risk, and senior business 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, with the ability to simplify complex technical concepts into clear business recommendations and implementation plans.

Experience & Qualifications

Preferred Skills

• Experience delivering enterprise AI platforms or developer platforms, forward deployed engineers 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 to scaled delivery.
• 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.
• What We Offer
• At Citi, you will have the opportunity to work at the intersection of strategy, technology, and global financial services — shaping how enterprise AI is built and scaled across a business that spans more than 160 countries. This is a high-impact leadership role with genuine scope to define how agentic AI evolves across the franchise, supported by a collaborative, performance-driven environment and a comprehensive set of benefits.
• Strategic ownership of one of Citi's most significant technology transformation agendas, with direct influence over enterprise AI direction and investment.
• Hybrid working model with 3 days in the office and 2 days working remotely, supporting a sustainable balance between collaboration and focused delivery.
• Access to structured learning and development programs to deepen both technical and leadership capability as the AI landscape continues to evolve.
• Competitive compensation and financial wellbeing benefits, including access to long-term financial planning support.
• Wellbeing and family support resources, including programs designed to support physical, mental, and financial health.
• The opportunity to operate at global scale — partnering with world-class teams across technology, data science, product, and business to deliver outcomes that matter to clients and the broader institution.
• Apply now to lead the design and delivery of enterprise agentic AI capabilities that will define how Citi serves clients and operates at scale for years to come.

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Automated Processing and AI