Senior Software Engineer- Gen AI

About this role:
Wells Fargo is seeking a Senior Software Engineer to join our team to drive digital transformation. We believe in the power of collaboration-great ideas can come from anyone, and every employee has the opportunity to make a meaningful impact. Through teamwork and shared innovation, we drive outcomes that matter for our customers and the company. Explore career opportunities with Wells Fargo and be part of a supportive, inclusive environment where you can learn, grow, and build solutions that make a difference.
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 hands-on software development expertise in designing and delivering high-performance, large-scale, distributed applications.
• 2+ Years of experience in building AI/GenAI solutions driving innovation.
• Strong background in AI, Machine Learning, GenAI, or Data Science, including retrieval systems, embeddings, chunking strategies, and agentic AI workflows.
• Basic hands-on experience building or supporting AI-powered applications in enterprise environments, with exposure to RAG concepts, LLM APIs, and low-code GenAI tools (such as Copilot Studio or equivalent)
• Basic experience implementing observability and monitoring for AI systems (logs, traces, metrics, token usage, latency, and error tracking).
• Ensure responsible AI and security controls-guardrails, PII filtering, DLP, red-teaming, and safe deployment practices.
• Good understanding of AI and ML algorithms, spanning supervised/unsupervised learning, deep learning, transformers, optimization methods, and practical application of these techniques in production systems.
• 2+ years experience using Git or other version control systems

Expected Qualifications:

• Basic experience with low-code platforms such as Copilot Studio, Power Apps, or Power Automate.
• Basic familiarity with vector databases (Weaviate, Pinecone, pgvector) and embedding workflows.
• Exposure to LangChain fundamentals (prompt templates, basic chains, simple retrievers).
• Excellent verbal and written communication skills, combined with strong analytical thinking and the ability to collaborate effectively across teams.
• Experience working in Agile Scrum environments.
• Knowledge of SQL or NoSQL databases.

Posting End Date:
24 Feb 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.