Head of AI Solutions, COO Technology - MD; C16

Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services — and this is the role that leads it.

The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world‑class engineering team, and deliver production‑grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role — one with the budget, the mandate, and the organizational reach to make it real.

AI Strategy & Platform Architecture

• Define and own the multi‑year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone‑driven execution roadmap with measurable outcomes
• Develop architecture blueprints and end‑to‑end systems design for Generative AI and agentic workflows across diverse operational domains
• Build the shared AI platform — reusable models, tooling, guardrails, evaluation frameworks, and accelerators — that reduces duplication, lowers cost, and enables faster adoption across COO
• Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives
• Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production
• Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks — and make deliberate, defensible decisions on where to build, buy, or partner

Production AI Delivery at Enterprise Scale

• Lead end‑to‑end delivery of AI solutions across high‑complexity, regulated operational environments — from architecture through production deployment, monitoring, and continuous improvement
• Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human‑in‑the‑loop workflows, feedback loops, and production readiness criteria
• Manage cross‑functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations
• Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on‑time, on‑budget execution
• Ensure all AI solutions meet production‑grade standards: stability, scalability, auditability, explainability, and regulatory compliance

Executive Partnership & AI Governance

• Serve as the senior AI executive point of contact for COO function leads — partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology
• Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio
• Translate complex technical realities into clear, compelling narratives for senior non‑technical audiences — including COO, CIO, and regulatory stakeholders
• Develop executive‑level communications — steering committee materials, portfolio dashboards, and milestone tracking — that improve decision velocity and reduce execution risk
• Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements

Building the AI Engineering Organization

• Build, structure, and lead a high‑performing AI engineering function aligned to COO's operational priorities — including team topology, operating model, and career pathways
• Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes
• Own and manage the AI technology portfolio budget (~$200M), driving disciplined funding allocation, financial transparency, and cost‑to‑serve accountability
• Lead productivity and efficiency programs with measurable targets across…