Senior AI Engineer, Banking Technology

Citi

Confirmed live yesterday High trust
Hybrid

Quick summary

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

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k
This role $178k
$131k $247k
below market most similar roles pay here above market

This role pays less than 57% of similar roles. Most pay $155,918–$235,750 — the blue band above. At the midpoint, this role pays about $178k versus about $196k 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 264 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 248 roles with salary data.

Most-posted roles

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-grade systems. The candidate will utilize Python, Java with Spring Boot, and JavaScript/TypeScript to build full-stack applications while leveraging tools like OpenAI, Anthropic, Google APIs, and GitHub Copilot. Technical requirements include experience with RAG, prompt engineering, and frameworks such as Google ADK, alongside proficiency in TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas. The role involves managing microservices-based architectures using Docker, Kubernetes, and OpenShift to solve complex problems within the regulated environment of financial services and banking operations.

What does a AI Engineer earn?

Median $211200 from 125 postings across 35 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 drive rapid prototyping and iterative delivery of production-grade features.
  • Define and implement evaluation metrics and feedback loops to optimize AI system performance.
  • Research and integrate emerging technologies in autonomous, agent-based, and generative AI systems.
  • Provide technical guidance and mentorship to junior engineers within cross-functional teams.
  • Ensure all AI solutions align with banking regulations and financial service requirements.

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 of experience focused on AI software development, LLM-based solutions, agentic systems, and/or machine learning.
  • Proficiency in Python and/or Java (Spring Boot), with working knowledge of JavaScript/TypeScript (Angular, Node.js).
  • Experience designing API-first, microservices-based, and event-driven architectures using Docker, Kubernetes, and OpenShift.
  • Hands-on experience with LLMs, RAG, prompt engineering, agent frameworks, and ML libraries like TensorFlow or PyTorch.
  • Demonstrated experience delivering enterprise-scale AI capabilities into production within regulated environments.
  • Experience in data science (statistical modeling, experimentation) and interest in mentoring junior engineers (preferred).

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