VP - KYC Operations Senior AI Lead

Citi; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Citi is seeking a VP - KYC Operations Senior AI Lead in New York to architect and drive scalable AI initiatives for KYC. You will lead production-grade Generative AI applications, guide architectural decisions, and mentor engineers and data scientists in agent-based solutions.

You will define technical strategy, ensure security and compliance, and oversee Agile project execution with senior stakeholders. The role demands deep AI expertise and leadership across teams.

Qualifications

• 10-12 years of overall experience with a minimum of 2.5 years in architecting and developing production-ready Gen AI RAG or agent-based solutions.
• Expert-level understanding of agentic solution design, including architecture selection, memory management, hallucination control, and reinforcement learning feedback loops.
• Strong experience in architecting scalable, available, and high-performance technology solutions.
• Deep expertise in agent training, performance measurement, and feedback processes.
• Proficiency with SAS, SQL, Tableau is a plus.
• Proven ability to mentor and lead technical teams.
• Exposure to Agile program/project management and planning development timelines.
• In-depth knowledge of compliance, security, and performance management in production environments.

Responsibilities

• Architect, design, and lead development of production-grade Generative AI applications and agentic solutions.
• Define and drive technical strategy for AI projects, including architecture, frameworks, and tools.
• Lead design and implementation of agent training, performance measurement, and feedback processes.
• Ensure solutions meet compliance, security, and performance standards.
• Mentor junior and intermediate engineers and data scientists.
• Oversee project management using Agile processes, including timelines and deliverables.
• Operate with limited supervision and exercise independent judgment.
• Act as SME to senior stakeholders and team members.
• Assess risk in business decisions, safeguarding Citigroup and clients by ensuring regulatory compliance.

Skills

Gen AI RAG

Agentic solution design

Architecture strategy

Mentor technical teams

Agile methodologies

Tools

SAS

SQL

Tableau

Job description

VP - KYC Operations Senior AI Lead

Job Description

The senior professional responsible for architecting, designing, and leading the development of innovative and scalable AI solutions. The overall objective is to leverage deep technical expertise and leadership skills to drive the execution of key AI initiatives and mentor other team members.

Responsibilities

• Architect, design, and lead the development of production-grade Generative AI applications and complex Agentic solutions.
• Define and drive technical strategy for AI projects, including making key decisions on architecture, frameworks, and tools. This includes evaluating different agentic architectures and evolving industry practices to select the optimal approach.
• Lead the design and implementation of agent training, performance measurement, correction, and feedback processes, and create/articulate new architectural options.
• Ensure solutions meet stringent compliance, security, and performance management standards.
• Mentor a team of junior and intermediate engineers and data scientists, training them in advanced Agentic solution development and software engineering best practices.
• Oversee project/program management using Agile processes, including planning and managing development timelines and deliverables.
• Has the ability to operate with a limited level of direct supervision.
• Can exercise independence of judgement and autonomy.
• Acts as SME to senior stakeholders and/or other team members.
• 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.

Qualifications

• 10-12 years of overall experience with a minimum of 2.5 years of experience in architecting and developing production-ready Gen AI RAG or Agent-based solutions.
• Expert-level understanding of Agentic solution design, including architecture selection, memory management, hallucination control, and reinforcement learning feedback loops.
• Strong experience in architecting and designing highly scalable, available, and performant technology solutions.
• Deep expertise in Agent training, performance measurement, and feedback processes.
• SAS, SQL, Tableau skills are plus.
• Proven ability to mentor and lead technical teams.
• Strong exposure to program/project management, Agile methodologies, and planning development timelines.
• In-depth knowledge of compliance, security, and performance management in a production environment.

Equal Opportunity Statement

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