Technology Internship Program

Wells Fargo is seeking aspiring Software Engineers to join the 2027 Technology Internship Program. Learn more at Early Careers – Wells Fargo Technology

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
• Participate in structured training, mentorship, and networking with senior technology leaders

Upon successful completion, high-performing interns may receive an offer to join the EMEA 2028 Technology Analyst Program.

In this role, your responsibilities as a Software Engineering Intern may include:

• 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
• Develop platform and operational solutions

AI-Enabled Engineering & Modern Development Practices

• Leverage enterprise-approved generative 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
• 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
• Use enterprise-approved AI tools in line with data-classification, confidentiality and records-management requirements.

Data, Platforms, and Architecture

• 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
• Contribute to the design, development, testing, enhancement, and support of software solutions that automate technology platform operations. This will include certificate management, application patching, disaster recovery readiness, observability engineering, autonomous operations, and continuous deployment processes.
• Gain exposure to developing and testing technology used in regulated environments, including data quality, monitoring, auditability and responsible data handling.

Technology Environment

• Languages/Frameworks: Java, .NET Core, Python, JavaScript (React, Node.js, Angular)
• Platforms: OpenShift, Azure, Google Cloud, APIs, Microservices
• Data: SQL, MongoDB, Data Pipelines, Analytics Tools
• Tools: GitHub, CI/CD pipelines, AI-assisted development tools, ML frameworks (TensorFlow, NumPy, Pandas).

Program Duration

June 2027 – August 2027 (10 weeks)

Required Qualifications

• Demonstrated experience in software engineering through coursework, internships, research, or relevant work experience
• Currently pursuing a bachelor’s degree in Computer Science, Computer Engineering, or related STEM field with expected graduation: July 2028
• Foundational knowledge in one or more: Java, Python, .NET, SQL, Cloud technologies
• Demonstrated exposure to generative AI or AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, code assistants)

Desired Qualifications

• 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
• Familiarity with prompt engineering concepts and responsible AI usage
• Interest in how AI is transforming software engineering workflows and productivity
• 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

Job Expectations

• Must take and pass required technology skills assessment

Posting End Date

30 Dec 2026*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada

Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.