> Markdown version of [/jobs/ext/3802584-technical-program-manager-applied-ai-agents-senior-vice-president](https://www.wearedevelopers.com/jobs/ext/3802584-technical-program-manager-applied-ai-agents-senior-vice-president). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager - Applied AI & Agents - Senior Vice President - **Company:** Citi - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $192,000.0 - $288,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Computer Literacy, Scrum Methodology, Agentic-AI, Data Analytics, Virtual Agents - **Published:** October 17, 2026 - **Apply:** https://citi.wd5.myworkdayjobs.com/2/job/New-York-New-York-United-States/Technical-Program-Manager---Applied-AI---Agents---Senior-Vice-President_261003030/apply ## About the Role * 10+ years of relevant experience in technical program management, with significant experience managing complex, high-visibility enterprise technology initiatives. * Strong technical literacy in AI/ML delivery lifecycles, generative AI prompt/eval workflows, agentic architectures, and distributed cloud/on-prem deployment patterns. * Experience in defining program scorecards, tracking computational/token economics, and establishing data-driven mechanisms for delivery visibility. * Proven ability to navigate matrixed global organizations and partner effectively with Managing Directors, CIOs, and 2LOD control functions. * Excellent written and oral communication skills, with demonstrated capability to articulate complex technical progress and risks to executive leadership. Education: * Bachelor's/University degree or equivalent experience * Master's degree preferred. ## Description The Technical Program Manager (TPM) - Applied AI & Agents is a senior-level strategic professional responsible for managing the end-to-end lifecycle of complex, cross-functional Applied AI and agentic engineering initiatives across Citi. The overall objective of this role is to drive central program coordination, LOB engagement management, intake qualification, delivery milestone tracking, and 2LOD risk/governance alignment across all factory operations, maintaining close operational ties with Group-Wide AI PMO, Model Risk Management (MRM), and CISO Threat Operations. Responsibilities: * Drives central program execution and governance across all Applied AI Factory delivery streams, aligning technical dependencies between engineering pods, enterprise infrastructure teams, and business units. * Leads LOB engagement management, scoping sessions, intake qualification, and SLA tracking for AI agent project requests across Markets, Services, Banking, PBWM, and Risk/Operations. * Establishes and oversees program-level dashboards tracking delivery velocity, stage-gate approvals, token consumption economics (via R2D2 Gateway), inference cost efficiency, and realized business ROI. * Facilitates fast-track governance operations, including Model Risk Management (MRM) reviews, PTS onboarding, and risk tiering for active agent deployments. * Coordinates cross-pod technical alignment with 2LOD control partners (MRM, CISO, ICRM) to ensure transparent risk management throughout the agent lifecycle. * Applies Agile/Scrum best practices to AI delivery, managing sprint velocity, dependency roadmaps, and blocker resolution across multiple concurrent agent squads. * Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.