Senior AI Engineer, Banking Technology

Citi

Confirmed live yesterday High trust
Remote

Quick summary

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

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $178k
$131k most similar roles pay here $247k

This role pays less than 62% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $178k versus about $199k 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 262 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 246 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · Senior AI Engineer, Banking Technology

Senior AI Engineer, Banking Technology joins the Banking Technology organization to design, build, and deploy scalable agentic AI frameworks and generative AI solutions for Investment, Corporate, and Commercial Banking. Working within agile squads, this role focuses on rapid prototyping, MVP-driven development, and the integration of LLM-driven workflows into production environments. The engineer will develop multi-agent systems using providers like OpenAI, Anthropic, and Google APIs while utilizing tools such as Devin, GitHub Copilot, and Claude Code. Technical requirements include proficiency in Python or Java (Spring Boot), JavaScript/TypeScript, and experience with PyTorch, TensorFlow, Scikit-learn, and NumPy. The role involves building microservices-based architectures using Docker, Kubernetes, and OpenShift to solve complex problems within regulated financial services environments. Candidates must possess expertise in RAG, prompt engineering, and core AI concepts like knowledge representation and planning.

What does a AI Engineer earn?

Median $195000 from 90 postings across 36 companies.

See salary data

What you'll do

  • Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for banking business cases.
  • Integrate agentic AI systems using multiple model providers such as OpenAI, Anthropic, and Google APIs.
  • Build full-stack applications that incorporate LLM-driven workflows and AI coding tools.
  • Execute an MVP-first approach to deliver production-grade AI capabilities through rapid iteration and experimentation.
  • Define and implement evaluation metrics and feedback loops to optimize AI system performance and behavior.
  • Research and prototype emerging technologies in autonomous, agent-based, and generative AI fields.
  • Provide technical guidance and mentorship to junior engineers within cross-functional teams.
  • Ensure all AI solutions align with banking regulations, security requirements, and financial service constraints.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, AI, Robotics, or a related quantitative discipline.
  • 6–10 years of progressive software engineering experience with a strong hands-on coding background.
  • 2+ years focused on AI software development, LLM-based solutions, agentic systems, and/or machine learning.
  • Proficiency in Python and/or Java (Spring Boot) and working knowledge of JavaScript/TypeScript (Angular, Node.js).
  • Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas) and AI tools like Devin or GitHub Copilot.
  • Expertise in LLMs, RAG, prompt engineering, MCPs, and agent frameworks.
  • Experience with Docker, Kubernetes, OpenShift, and designing microservices-based, event-driven architectures.
  • Knowledge of banking/financial services and experience in data science (preferred).

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