Lead Software Engineer, AI-Enabled

Wells Fargo

Lead Software Engineer focusing on AI-enhanced client advisory systems at Wells Fargo. Collaborate with financial advisors and data scientists to innovate digital financial solutions.

Posted 6/3/2026full-timeCharlotte • Minnesota, North Carolina • 🇺🇸 United StatesSenior💰 $119,000 - $206,000 per yearWebsite

Tech Stack

Tools & technologies

ApacheGradleJavaJenkinsKafkaMicroservicesMongoDBOracleSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

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
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

Requirements

What you’ll need

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
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

Benefits

Comp & perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

JavaSpring BootApache KafkaConfluent EnterpriseMicroservicesAPI developmentMongoDBOracle DatabaseAI agentModel Context Protocol

Soft Skills

leadershipcollaborationproblem-solvingmentoringcommunicationdecision-makingproactive engagementproduct mindsetguidanceconsultation