Senior Software Engineer - Full Stack (.Net Core + C#) + AI/ML

About This Role Wells Fargo is seeking a Senior Software Engineer.

In This Role, You Will

• Lead moderately complex initiatives and deliverables within technical domain environments.
• Contribute to large scale planning of strategies.
• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments.
• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures.
• 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.

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.
• 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.
• 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
• Bachelor’s degree in Engineering / MCA or equivalent
• 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: 30 Aug 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, Regulato…