2027 Technology Summer Internship – Early Careers (Software Engineering)

Wells Fargo•St. Louis, MO

11d•$38 - $63•Hybrid

About The Position

Wells Fargo is seeking aspiring Software Engineers to join the 2027 Technology Internship Program. The Wells Fargo Technology Internship Program provides participants with a 10-week experience designed to immerse students in real-world engineering, modern software development practices, and enterprise-scale technology at Wells Fargo. The program blends technical execution with business context, emphasizing innovation, velocity, and responsible technology development. Participants will work hands-on with impactful, production-aligned projects, gain exposure to modern engineering practices and AI-enabled development workflows, and participate in structured training, mentorship, and networking with senior technology leaders. Upon successful completion of the internship, qualified candidates may be considered for a full-time position in the Technology Analyst Program the following year, within the same market where the internship was completed.

Requirements

6+ months of work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

Currently pursuing a bachelor’s degree in Computer Science, Computer Engineering, or related STEM field with an expected graduation: December 2027 – June 2028
Foundational knowledge in one or more: Java, Python, .NET, SQL, Cloud technologies
Understanding of algorithms, data structures, and API development
Experience with SDLC practices (CI/CD, testing, deployment)
Strong problem solving and interpersonal skills, including the ability to articulate challenges and recommend solutions
Demonstrated exposure to AI or AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, code assistants)
Familiarity with prompt engineering concepts and responsible AI usage
Interest in how AI is transforming software engineering workflows and productivity
Prior engineering internship experience
Energetic self-starter who proactively takes initiative, acts with urgency, remains curious and has a genuine interest in learning and growth
Involvement in extracurricular enrichment activities through one or more of the following: volunteerism, student organization involvement, study abroad program(s), leadership position(s), non-profit involvement

Responsibilities

Design, develop, test, and deploy scalable applications, including enhancements, bug fixes, and new services across enterprise platforms
Collaborate in Agile (Scrum / Kanban) teams to deliver high-quality, secure, and maintainable code
Leverage enterprise-approved AI tools (e.g., Copilot, Devin, etc.) and AI platforms to accelerate development, including generating unit and integration test cases aligned with Wells Fargo QA standards, assisting with code development, documentation, and refactoring within approved toolchain boundaries, and supporting rapid prototyping and solution design exploration within sandbox/non-production environments
Partner with senior engineers to review, validate, and govern AI-generated code to ensure alignment with enterprise architecture, risk, and security standards
Contribute to AI-augmented development workflows including automated documentation, code review assistance, and developer productivity tooling within approved SDLC processes
Explore opportunities to integrate AI/ML capabilities into applications (e.g., intelligent automation, predictive insights, natural language interfaces) in alignment with Model Risk Management (MRM) guidelines and regulatory requirements
Apply prompt engineering techniques to improve accuracy, efficiency, and reliability of AI-assisted outputs while adhering to data handling and confidentiality policies
Build and maintain APIs, microservices, and cloud-based applications
Contribute to data engineering efforts, including data modeling, pipeline development, and analytics environments
Support creation of reusable frameworks and apply modern design patterns across distributed systems
Partner with architecture, product, and platform teams to support the technical evolution of services