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Wells Fargo is seeking a Lead Software Engineer (Python & GenAI) to design, develop, and deliver enterprise‑grade Generative AI solutions that drive automation, improve operational efficiency, and support modernization. This role blends hands‑on engineering, GenAI system design, and technical leadership, leveraging the enterprise AI ecosystem—including Tachyon GenAI Studio, RAG frameworks, and approved LLM platforms.
Job Responsibility:
Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Lead projects, teams, or serve as a peer mentor
Requirements:
5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
9+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years working with LLMs, GenAI, agent frameworks, vector DBs, or RAG systems
Build scalable Python based automation services, APIs and backend utilities
Experience with enterprise GenAI environments (e.g., Tachyon GenAI Studio)
Build Gen AI powered solutions such as summarization, runbook generation and operational insights
Develop LLM powered assistants for engineering and support teams
Design Agentic AI workflows where AI agents can analyze issues, trigger automations and execute multi step tasks with human oversight
Familiarity with multi‑agent orchestration, embeddings, retrieval optimization, and evaluation methods
Implement RAG pipelines, embeddings and prompt engineering techniques
Ensure AI Solutions follow security, governance and responsible AI practices
Experience working with version control systems (Git)
Experience with containerization (Docker and Kubernetes)
Strong communication, problem-solving and collaboration skills