AI Engineering Manager for Banking Technology

Citi

Remote

Quick summary

Work type: Remote
Location: Irving, TX
Salary: $156,160–$234,240 / yr
Posted: 23 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k

This role $195k

$145k most similar roles pay here $257k

This role pays less than 68% of similar roles. Most pay $172,375–$246,150 — the shaded band above. At the midpoint, this role pays about $195k versus about $209k 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 397 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 367 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · AI Engineering Manager for Banking Technology

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As an AI-first Lead AI Engineer at a leading financial institution, you will join a dynamic team to architect and deliver enterprise-scale AI solutions for banking sectors. Your role involves hands-on technical leadership in developing agentic workflows and generative AI platforms using LLMs from providers like OpenAI, Anthropic, and Google. You will build full-stack AI applications with modern ML/LLM platforms and coding tools such as Devin and GitHub Copilot, ensuring rapid value delivery through MVP-driven approaches. Key skills include expertise in Python or Java (Spring Boot), JavaScript/TypeScript, TensorFlow, PyTorch, Docker, Kubernetes, and a deep understanding of banking domain challenges. This role demands extensive experience in AI fundamentals, system design, CI/CD pipelines, and mentoring engineers to foster an AI-first culture.

Skills

Python Java Spring Boot JavaScript TypeScript Angular Node.js TensorFlow PyTorch OpenAI Anthropic Google LLMs RAG pipelines MCPs Devin GitHub Copilot Kubernetes Docker CI/CD API design Microservices Event-driven systems

What you'll do

Lead the design and hands-on implementation of scalable agentic AI solutions for high-impact business use cases.
Architect advanced agent-based systems integrating multiple LLM providers to enhance efficiency and automation.
Build full-stack AI applications using modern ML/LLM platforms, ensuring production-grade delivery and rapid iteration.
Define rigorous evaluation frameworks and metrics to optimize AI performance continuously and align with business goals.
Evaluate and integrate emerging AI technologies proactively, acting as a thought leader in agent-based systems.
Provide technical leadership and mentorship to engineers across teams to foster an AI-first engineering culture.
Ensure all AI solutions are grounded in deep banking domain understanding, clearly articulating their business impact.

What we're looking for

Expert proficiency in Python or Java (Spring Boot) and experience with JavaScript/TypeScript.
Deep knowledge of AI fundamentals including LLM platforms and agent frameworks.
Proven ability to design robust APIs for AI services and integrate multiple LLM providers.
Strong experience in software engineering best practices, CI/CD, testing strategies, and operational stability.
Hands-on expertise in designing microservices-based systems and managing AI-focused data pipelines.
Exceptional leadership skills to articulate complex technical concepts and influence senior stakeholders.
Strong understanding of banking domain with ability to connect AI capabilities to business outcomes.

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