Lead AI Java Engineer –Risk & Margin

Wells Fargo & Company•Iselin, NJ

1d•Hybrid

About The Position

Wells Fargo is seeking a Lead AI Java Software Engineer to join our Prime Services technology team to be part of Risk and Margin platform transformation initiative leveraging GenAI to accelerate development and build new capabilities. In this role as an AI engineer, you will develop cutting edge artificial intelligence solutions using large language models, agentic frameworks, and other innovative technologies. The ideal candidate would have knowledge in designing, developing, and deploying applications leveraging LLM models and systems, with a strong focus on Prompt Engineering, Fine Tuning, RAG implementation, and Agentic frameworks. The Risk and Margin suite is built on common foundational frameworks and is used to deliver sophisticated and complex front office solutions. This person will be actively engaged in architecture, design, development, unit testing, and stress testing of a high-performance framework for applications and be a key participant in a highly talented delivery team for front-office systems and tools development. Additionally, they will be expected to provide hands on technical support, advice, and consultation with open issues relating to supported applications plus ensure quality, performance, security, trading risk controls, and compliance for those application platforms. The ideal candidate will be an expert in solving software, and infrastructure problems in relation to complex processes. They will have experience with designing and developing automated testing harnesses, recommending, and implementing solutions, participating in and conducting code review sessions, and providing process improvements. Past experience in building Risk and Margin methodologies is needed. We are keenly interested in high energy people with a passion to build common core high performance technology to be used across asset classes in Equities and Fixed Income. Learn more about the career areas and business divisions at wellsfargojobs.com.

Requirements

5+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of experience in building prime brokerage or capital markets applications
5+ years of high-performance programming techniques in Java
5+ years of experience in Java, Spring Boot, JPA, Microservices, SQL and NoSQL
2+ years of experience in Kubernetes/OpenShift & cloud technologies
5+ years of experience in Apache Kafka/Solace/MQ
5+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc.
2+years of experience on GenAI enabled solutions, Retrieval-Augmented Generation (RAG) and agentic workflows, with a strong understanding of prompt engineering, grounding, and extensibility
2+years hands-on experience with major GenAI platforms (e.g., Microsoft VS Code, GitHub Copilot)

Nice To Haves

2+ years of experience in building risk & margin with Portfolio margin, Rules based margin calculations and stress testing
SME on equities, options and fixed income securities.
Knowledge of core computer science design concepts, algorithms, and data structures
Familiarity with Model Context Protocol (MCP), enterprise-grade agentic workflows is highly desirable
Experience with risk, margin and regulatory calculators and reporting capabilities
Knowledge building high capacity, high volume, low latency technology for margin workflow supporting various business units in Commercial Investment Banking
Deep knowledge of LLM and API integration, including RESTful API design.

Responsibilities

Lead complex initiatives on selected domains
Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
Define opportunities to maximize resource utilization and improve processes while reducing cost
Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies
Resolve coding, testing and escalated platform issues of a technically challenging nature
Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
Mentor less experienced software engineers
Collaborate and influence all levels of professionals including managers
Lead team to achieve objectives
Partner with production support and platform engineering teams effectively
Define and govern standard patterns for AI-assisted and LLM-based software development, including prompt-driven development, automated test generation, diagnostics, documentation, and developer productivity tooling
Architect and guide enterprise-standard LLM integrations, including MCP-based services, used across development tooling, system observability, and controlled automation
Establish and enforce guardrails for reliable, explainable, auditable, and secure AI usage within electronic trading technology
Partner with platform, security, risk, and compliance teams to ensure AI-enabled engineering workflows meet Wells Fargo standards for data protection, regulatory compliance, and model risk management
Continuously evaluate advances in GenAI, agentic AI, and applied machine learning to refine engineering practices and platform capabilities where appropriate (AI-enabled development is considered a baseline capability across the engineering organization; this role ensures architectural consistency, operational safety, and enterprise scale.)