Lead AI Java Engineer –Risk & Margin

Wells Fargo

Hybrid

Quick summary

Work type: Hybrid
Location: Charlotte, NCIselin, NJ
Salary: $159,000–$305,000 / yr
Posted: 11 days ago
Closes: Jun 28, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k

This role $232k

$141k most similar roles pay here $323k

This role pays more than 71% of similar roles. Most pay $164,870–$246,150 — the shaded band above. At the midpoint, this role pays about $232k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 90 open roles on FindRole.

Listed pay typically runs $145,018–$224,000 across 51 roles with salary data.

Most-posted roles

View all roles at Wells Fargo

At a glance

TL;DR · Lead AI Java Engineer –Risk & Margin

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Wells Fargo is hiring a Lead AI Java Software Engineer to join its Prime Services technology team, focusing on the Risk and Margin platform transformation initiative. This senior-level role involves developing advanced artificial intelligence solutions using large language models and agentic frameworks, with responsibilities including prompt engineering, fine-tuning, RAG implementation, and agentic framework development. The ideal candidate will have expertise in Java, Spring Boot, JPA, microservices, Kubernetes, Apache Kafka, and GenAI platforms like Microsoft VS Code and GitHub Copilot. They will work on high-performance applications for front-office solutions, ensuring quality, performance, security, and compliance while collaborating with platform engineering teams to establish standards for AI-assisted software development and secure AI usage within electronic trading technology. Experience in building risk and margin methodologies, particularly in equities and fixed income, is highly valued.

Skills

Java Spring Boot JPA Microservices SQL NoSQL Kubernetes OpenShift Apache Kafka Solace MQ SDLC Agile JIRA GitHub Jenkins Confluence GenAI RAG Prompt Engineering MCP RESTful API CI/CD

What you'll do

Define and govern standard patterns for AI-assisted software development, including prompt-driven practices.
Architect enterprise-standard LLM integrations across various development tools and systems.
Establish and enforce security and compliance guardrails for reliable AI usage in trading technology.
Continuously evaluate advancements in GenAI to refine engineering practices and platform capabilities.
Provide technical support and consultation on open issues related to supported applications.

What we're looking for

5+ years of experience in building prime brokerage or capital markets applications
Expertise in high-performance programming techniques using Java, Spring Boot, JPA, Microservices, SQL, and NoSQL
Hands-on experience with Kubernetes/OpenShift and cloud technologies
Proficiency in Apache Kafka/Solace/MQ and SDLC tools like JIRA, GitHub, Jenkins, Confluence
2+ years of hands-on experience with GenAI platforms, including prompt engineering and agentic workflows
Deep knowledge of LLM integration, RESTful API design, and Model Context Protocol (MCP)

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