Generative AI Engineering Lead – Senior Vice President

Citi

. Lead the delivery roadmap for generative and agentic AI projects, owning the full lifecycle from scoping through deployment and post-launch support .

Posted 11/3/2026full-timeUnited StatesSenior💰 $156,160 - $234,240 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in leading generative AI projects, managing global technology teams, and ensuring compliance with regulatory standards. Proficient in Python for developing enterprise-scale AI solutions while championing best practices in CI/CD and agile delivery.

Highest-signal resume keywords

Generative AI Project ManagementPython ProficiencyRisk ManagementTeam LeadershipStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative AI DevelopmentAgentic SolutionsCI/CD Best PracticesAgile DeliveryPerformance StandardsQuality AssuranceBudget PlanningMulti-Agent SystemsSoftware Delivery StandardsEnterprise-Scale Technology Solutions

Soft Skills

Clear CommunicationNegotiation SkillsInfluencing Senior LeadersMentoringPerformance Management

Tools & Technologies

Machine Learning OperationsCloud ArchitectureAI Governance FrameworksSandboxing TechniquesStakeholder Management Tools

Industry Keywords

Generative AIAgent OrchestrationCompliance StandardsEthical AI DeploymentGlobal Technology Teams

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Lead the delivery roadmap for generative and agentic AI projects, owning the full lifecycle from scoping through deployment and post-launch support
Build, mentor, and manage multiple teams of AI engineers, overseeing hiring, performance, and budget planning to meet delivery goals
Oversee the design, development, and deployment of production-ready generative AI applications meeting performance, security, and quality standards
Direct the design of agentic workflows and multi-agent systems, setting standards for agent orchestration and reliable long-running execution
Serve as the primary point of contact for generative AI delivery, managing stakeholder expectations and resolving delivery risks
Partner with data, cloud architecture, and machine learning operations teams to integrate generative AI solutions across Citi's technology environment
Champion best practices in CI/CD, LLMOps, and agile delivery
Establish governance and responsible AI frameworks, including safeguards and sandboxing, for ethical and compliant deployment

Requirements

What you’ll need

More than 10 years of experience in applications development, delivering enterprise-scale technology solutions
Experience managing global technology teams across multiple locations and time zones
Working knowledge of industry practices and standards in generative AI and software delivery
Proficiency in Python, applied to build, review, and guide the delivery of generative AI and agentic solutions
Clear, concise written and verbal communication skills, with the ability to engage senior stakeholders
Ability to negotiate and influence senior leaders and external parties on technology strategy and delivery decisions
Strong risk management capability, ensuring compliance with regulatory and corporate policy requirements across AI delivery
Bachelor's degree or equivalent experience in a relevant field

Benefits

Comp & perks

Hybrid arrangement with three days in the office and two days working remotely each week
Ongoing learning and development opportunities
Programs supporting financial wellbeing and long-term career growth
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
Discretionary and formulaic incentive and retention awards may be available for eligible employees