Vice President, AI Engineering & Delivery

At Citi, we get to connect millions of people across hundreds of cities and countries every day. And we've been doing it for more than 200 years. We do this through our unparalleled global network. We provide a broad range of financial services and products to our clients - whether they be consumers, corporations, governments or institutions - to help them meet their biggest opportunities and face the world's toughest challenges.

We’re currently looking for a high caliber professional to join our team as Vice President, AI Engineering & Delivery. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance:

• Citi provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.

• We empower our employees to manage their financial well-being and help them plan for the future.

• Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.

In this role, you’re expected to:

We are seeking a hands-on AI leader who combines deep technical expertise in AI development with the ability to lead enterprise-scale AI delivery. The successful candidate will have experience designing, building, deploying, and governing AI solutions in production, while partnering with business, operations, and engineering teams to scale AI capabilities

This role will play a critical leadership role in overseeing and delivering the Investor Operations AI book of work, ensuring effective coordination, governance, and scaling of AI initiatives across the organization. This role acts as the central authority across Investor Operations AI activity-aligning use cases, driving consistency in delivery, and enabling reuse of AI capabilities at scale. The individual will guide how AI solutions are designed and implemented, while ensuring alignment with enterprise platforms, standards, and regulatory expectations.

A key expectation is strong technical fluency in AI tools, models, and architectures, enabling credible challenge and effective partnership with engineering and data science teams.

Key Responsibilities:

AI Book of Work Delivery

• Own and manage the end-to-end Investor Operations AI book of work

• Drive prioritization, execution, and measurable value delivery

• Identify overlapping use cases and enforce consolidation and reuse

• Track delivery progress, outcomes, and adoption

AI Solution Oversight

• Provide direction and challenge on AI solution design, model selection, and implementation approaches

• Guide the use of AI techniques (ML, NLP, LLMs, IDP) against business problems

• Partner with engineering and data science teams to ensure practical, scalable solutions

Cross-Team Alignment & Enablement

• Act as central coordinator across Investor Operations AI initiatives

• Connect teams with similar use cases to maximize reuse of models and components

• Drive adoption of enterprise AI tools and platforms (IDP, AI, Enterprise capabilities)

• Promote standardized approaches and best practices

Model Risk Management & Governance

• Lead MRM submissions and engagement at Investor Operations level

• Ensure all AI solutions meet governance, validation, and regulatory requirements

• Embed strong controls across model lifecycle (development to monitoring)

Transformation & Scaling

• Identify opportunities to improve operational processes through AI

• Support rollout across teams, functions, and regions

As a successful candidate, you’d ideally have the following skills and exposure:

AI & Technical Expertise (Essential)

• Strong practical understanding of:

  • Machine learning (classification, regression, clustering)

  • NLP and Large Language Models (LLMs)

  • Intelligent Document Processing (IDP)

• Solid knowledge of how AI solutions are built and deployed:

  • Data pipelines, feature engineering, model training

  • Model evaluation (accuracy, precision/recall, drift)

  • Deployment patterns (APIs, batch vs real-time)

• Experience with:

  • Python-based ecosystems

  • LLM architectures (prompting, RAG)

  • Enterprise or cloud AI platform

• Ability to credibly engage with and challenge engineers and data scientists

• Hands-on experience designing, building, and deploying AI solutions in production environments, including Machine Learning, NLP, Large Language Models (LLMs), Agentic AI, and Retrieval Augmented Generation (RAG) architectures.

• Demonstrated experience developing AI applications end-to-end, including data preparation, feature engineering, model training, prompt engineering, evaluation, deployment, monitoring, and performance optimization.

• Strong technical expertise in Python and modern AI frameworks, such as LangChain, LangGraph, OpenAI/Azure OpenAI, Hugging Face, vector databases, and cloud-based AI platforms.

• Experience building enterprise-grade AI solutions, including AI assistants, copilots, intelligent document processing, workflow automation, recommendation engines, predictive models, or conversational AI platforms.

• Ability to provide credible technical challenge and guidance to AI engineers, data scientists, and architects, with a deep understanding of AI architecture patterns, model governance, scalability, security, and production deployment practices.

• Bachelor's/University degree or equivalent experience.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Take the next step in your career, apply for this role at Citi today!

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