VP - KYC Operations Senior AI Lead

Citigroup Inc.; Mumbai; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

Citigroup Inc. in Mumbai invites a senior AI architect to lead the development of production-grade Gen AI and agent-based solutions. You will define technical strategy, architect scalable systems, and mentor engineers and data scientists across Agile teams.

The role emphasizes safe, compliant, and high-performance AI implementations with strong collaboration to drive key initiatives and governance.

Qualifications

• 10–12 years of overall experience with at least 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 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 Agile methodologies and planning development timelines.
• In-depth knowledge of compliance, security, and performance management in production.

Responsibilities

• Architect, design, and lead the development of production-grade Generative AI applications and complex Agentic solutions.
• Define and drive the technical strategy for AI projects, including architecture, frameworks, and tools.
• Lead the design and implementation of agent training, performance measurement, and feedback processes.
• Ensure solutions meet compliance, security, and performance standards.
• Mentor a team of junior and intermediate engineers and data scientists.
• Oversee project management using Agile processes and timelines.
• Operate with limited supervision and act as SME to stakeholders.
• Assess risk and uphold Citigroup's reputation and client protection.

Skills

Gen AI architecture

Agentic solution design

Scalability and performance

Mentoring & leadership

Agile project management

Tools

SAS

SQL

Tableau

Job description

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 judgement regarding personal behaviour, 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.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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