Senior AI Engineer Vice President

Citi

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Jersey City, NJ
Salary
$142,320–$213,480 / yr
Posted
11 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $178k
$130k most similar roles pay here $259k

This role pays less than 54% of similar roles. Most pay $157,200–$246,150 — the shaded band above. At the midpoint, this role pays about $178k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 256 open roles on FindRole.

Listed pay typically runs $140,080–$210,120 across 238 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · Senior AI Engineer Vice President

The Senior AI Engineer - Vice President is a senior-level role within the Technology team focused on leading AI application development. You will be responsible for architecting and building autonomous AI systems, developing agentic solutions, and managing backend services to solve complex problems through intelligent bot interactions and robust API integrations. The role involves designing high-performance distributed systems with advanced error handling while ensuring data governance compliance. You will work extensively with Python, FastAPI, asyncio, and various GenAI platforms including Gemini, Claude, and GPT. Technical requirements include expertise in RAG systems, LangChain, LangGraph, and Kubernetes for container orchestration. Additionally, you will utilize tools like Cursor and Copilot to build scalable production environments. This position addresses the technical challenge of integrating large language models into enterprise systems through sophisticated data pipelines and automated CI/CD practices.

What you'll do

  • Lead the development, architecture, and deployment of AI agents using GenAI platforms and microservices.
  • Build autonomous AI systems for problem-solving and decision-making integrated with enterprise systems via APIs.
  • Develop end-to-end Agentic AI solutions using Python backend services, FastAPI, and robust data pipelines.
  • Optimize AI agent performance, latency, and cost through caching strategies, knowledge graphs, and distributed system optimization.
  • Establish CI/CD practices for automated testing, agent evaluation, and cloud-native deployment on Kubernetes.
  • Drive GenAI thought leadership by integrating emerging models like Gemini, Claude, and GPT into the technology stack.
  • Mentor engineering teams and serve as a Subject Matter Expert for AI and machine learning technologies.
  • Analyze applications for vulnerabilities and perform thorough debugging to troubleshoot complex software issues.

What we're looking for

  • Bachelor's degree or equivalent experience is required, with a Master's degree preferred.
  • At least 6 years of software development experience with strong proficiency in Python.
  • Extensive hands-on experience with GenAI concepts, LLMs, transformer architecture, RAG, and agentic frameworks like LangChain or LangGraph.
  • Expert knowledge of machine learning, generative AI techniques, and complex API integrations for enterprise systems.
  • Proficiency in containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for APIs and ML models.
  • Experience with distributed systems, event-driven architectures, and container-based microservices.
  • Expertise in building virtual assistants, chatbots, and conversational AI platforms.
  • Familiarity with Java, Spring Boot, SQL, and front-end frameworks like React or Angular is a plus.

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