AI-Enabled Lead Software Engineer

Wells Fargo & Company•Minneapolis, MN

1d•Onsite

About The Position

Wells Fargo is seeking a talented Lead Software Engineer in Digital & Advisory Technology as part of Wealth, Investment and Brokerage group. Together we work closely to continue evolving Wells Fargo’s digital advisor platforms and enhance integration of the innovation pipeline into our financial advisors and customer-facing capabilities. We are expanding our Digital & Advisory Technology team with an AI-Enabled Lead Software Engineer to build intelligent systems that enhance client advice, financial planning, and investment decision-making. In this role, you will partner with financial advisors, data scientists, and product teams to deliver scalable, AI-driven solutions across digital advisory channels. The ideal candidate would have very strong technical knowledge of Java, Kafka and a solid foundation in micro service design methodologies. You will work at the intersection of software engineering, machine learning, and financial strategy, developing personalized recommendations, predictive planning tools, and automated investment platforms. This role is ideal for engineers with strong software expertise and a passion for embedding AI into enterprise-scale solutions.

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5 + years of strong technical skills in Java and supporting build/development tools such as Springboot and Gradle
3+ years of experience in Apache Kafka/Confluent Enterprise

Nice To Haves

A bachelor’s or master’s degree in computer science, data science, mathematics, or related field
Experience with the Financial Services industry terminology and procedures to allow close collaboration with business partners and financial advisors.
Hand-on skills for AI agent and Model Context Protocol (MCP) skills
Experience with AI-powered development or GitHub Copilot
Strong experience working on Java, Spring Boot, Kafka, Microservices, and API development.
Experience working with MongoDB and Oracle Database technologies
Knowledge and understanding of test driven and behavior driven application development.
Experience working in an Agile Principles and Scrum environment
Experience with Postman and/or Swagger UI
Experience with automated testing development
Experience with CI /CD tools and processes including GitHub, Jenkins, Artifactory, and Harness
Ability to help triage complex technical support issues
In-depth technical solution knowledge, including installation, configuration, performance tuning
Quick learner passionate about learning new and emerging technologies

Responsibilities

Lead moderately complex initiatives and deliverables within technical domain environments
Utilize GenAI and AI Agents to build reusable libraries that can improve products development efficiency
Monitor model performance, manage feedback loops, and ensure ethical AI practices
Leader on scrum team helping to design and implement solutions to maximize client value
Embrace a product mindset as a key technical input to help drive product strategy, discovery, and definition throughout the year
Key contributions such as new features, repositories, and products are being discovered and developed
Proactively engaging with Engineering Managers, Principal Engineers, and Architects to raise issues, areas of concern, best practices, and lessons learned
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients’ needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Lead projects, teams, or serve as a peer mentor