Senior Software Engineer - .NET Full Stack Developer/ AI

About this role:

Wells Fargo is seeking a Senior Software Engineer(.NET Full Stack Developer/ AI) to design, build, and deliver scalable, high-quality software solutions within enterprise technology environments. This role requires strong technical expertise, ownership mindset, and the ability to lead moderately complex initiatives while collaborating across global teams.

In this role, you will:

• Lead moderately complex initiatives and deliverables within technology domain environments
• Contribute to large-scale technical planning and solution strategies
• Design, develop, test, debug, and document software applications, including upgrades and deployments
• Analyze and resolve moderately complex technical challenges requiring in-depth evaluation of systems, technologies, and processes
• Drive delivery of high-quality solutions aligned with business needs, compliance standards, and engineering best practices
• Collaborate with peers, product teams, and mid-level management to achieve technical and project goals
• Lead projects, act as an escalation point, and mentor junior engineers
• Partner with global teams, including participation in meetings aligned with U.S. time zones.

Required Qualifications:

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Proven experience developing full-stack, scalable distributed applications
• Ability to work across multiple components and collaborate with cross-functional engineering teams
• Strong focus on delivering high-quality features aligned to product requirements and user stories.
• 4+ years of Software Engineering experience or equivalent demonstrated through work experience, training, military experience, or education
• Strong hands-on development experience across modern technology stacks
• Strong development experience in C#, .NET Core, REST/Web APIs, and Microsoft technologies
• Experience building scalable, distributed applications
• Experience with relational and non-relational databases, preferably in cloud environments
• Experience with asynchronous, event-driven, and messaging systems
• Exposure to cloud platforms (Azure/AWS/GCP) and containerization technologies
• Experience or understanding of Kubernetes preferred
• Solid understanding of operating systems (Windows/Linux) and virtualization

Job Expectations:

• Experience leveraging AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, or similar) to improve developer productivity, code quality, and delivery speed
• Working knowledge of AI/ML fundamentals (basic concepts, model lifecycle, limitations, evaluation)
• Experience integrating AI capabilities into applications using APIs/SDKs (e.g., Azure OpenAI/OpenAI/AWS/GCP AI services)
• Practical understanding of LLM usage patterns: prompt design basics, output validation, and guardrails
• Familiarity with common AI application architectures (e.g., Retrieval-Augmented Generation/RAG conceptually) and when to use them
• Ability to build AI-enabled features such as summarization, classification, extraction, Q&A, and conversational assistants
• Awareness of responsible AI practices: privacy, security, bias considerations, safe handling of data, and compliance basics
• Understanding of operational considerations for AI in production (latency/cost considerations, monitoring, fallback strategies, human-in-the-loop)
• Exposure to vector search / embeddings concepts and related storage options is a plus (not mandatory)

Posting End Date:

*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.