Senior AI Engineer - Senior Vice President

Citi; New York (NY); On-site; USD 250,000 - 350,000; Full time

Job summary

Citi in New York seeks a Senior AI Engineer—Senior Vice President to lead advanced AI initiatives across teams, focusing on AI/ML, LLMs, and RAG architectures. You will drive strategy, mentor engineers, and ensure robust delivery of scalable AI solutions.

The role requires 10+ years of experience with Python/Java, deep learning, and hands-on Kubernetes/Docker, collaborating with senior leaders to align AI projects with risk and business goals.

Qualifications

• 10+ years of relevant experience.
• Proven industry experience in Artificial Intelligence and Machine Learning.
• Proficiency in Python and deep experience with libraries (TensorFlow, PyTorch, LangChain, HuggingFace).
• Strong knowledge and hands-on experience with Large Language Models (LLMs).
• Solid understanding of NLP concepts, techniques, and evaluation metrics.
• Hands-on experience with Docker for containerizing applications.
• Solid understanding and practical experience with Kubernetes for container orchestration.

Responsibilities

• Lead AI/ML engineering efforts across teams with focus on LLMs and Retrieval-Augmented Generation (RAG).
• Manage multiple teams, including performance evaluations and hiring decisions.
• Provide strategic influence on resources, budgets, and planning with measurable outcomes.
• Resolve issues using depth of knowledge across applications development and technology functions.
• Help define standards and ensure compliance with laws and regulations.
• Collaborate with senior leaders and external parties as needed.
• Drive risk assessment and governance while safeguarding Citi and clients.

Skills

Java

Python

AI/ML

LLMs

NLP

TensorFlow

PyTorch

LangChain

HuggingFace

Education

Bachelor's degree in CS/Software Engineering

Master's degree preferred

Tools

Docker

Kubernetes

Job description

Senior AI Engineer - Senior Vice President

Responsibilities

• Highly skilled and motivated AI/ML Engineer with deep expertise in Artificial Intelligence, Machine Learning, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architecture.
• Manage multiple teams of professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
• Provide strategic influence and exercise control over resources, budget management and planning while monitoring end results
• Utilize in-depth knowledge of concepts and procedures within own area and basic knowledge of other areas to resolve issues
• Ensure essential procedures are followed and contribute to defining standards
• Integrate in-depth knowledge of applications development with overall technology function to achieve established goals
• Provide evaluative judgement based on analysis of facts in complicated, unique, and dynamic situations including drawing from internal and external sources
• Influence and negotiate with senior leaders across functions, as well as communicate with external parties as necessary
• 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications

• 10+ years of relevant experience
• Java Experience
• Proven industry experience in Artificial Intelligence and Machine Learning.
• Proficiency in Python and deep experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, LangChain, Hugging Face).
• Strong knowledge and extensive hands‑on experience with Large Language Models (LLMs) such as GPT, Llama, Claude, or similar foundational models.
• Solid understanding of Natural Language Processing (NLP) concepts, techniques, and evaluation metrics.
• Hands‑on experience with Docker for containerizing applications.
• Solid understanding and practical experience with Kubernetes for container orchestration and cluster management.

Optional Skills

• Document Digitization technologies (OCR – Tesseract, Abby, Kofax, Google Vision) combined with AI/ML
• Experience in Migration of legacy applications to Microservices / Micro-Frontend (MFE) based architecture.
• Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and their associated AI/ML services.

Education

• Bachelor’s degree/University degree in Computer Science/Software Engineering or equivalent experience
• Master’s degree preferred

Equal Employment Opportunity Statement

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, 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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