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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.
Job Responsibility:
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
Requirements:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
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
Nice to have:
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