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, 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.