About this role: Wells Fargo is seeking a Lead Software Engineer In this role, you will: 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 Required Qualifications: 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications 12+ years of overall software engineering experience with strong proficiency in Python for production‑grade systems. 1+ years of hands‑on experience building GenAI / Agentic AI solutions using Google ADK (GADK) or LangChain , LangGraph , Strong experience designing and deploying agent‑based architectures , including multi‑agent workflows, tool orchestration, and state management. Experience in AI/ML algorithms , LLM concepts, embeddings, vector search, and retrieval‑augmented generation (RAG), Classification Hands‑on experience with MongoDB (including vector capabilities) and data modeling for AI workloads. Experience deploying AI solutions to enterprise production environments , including scalability, observability, security, and cost controls. Familiarity with cloud platforms and CI/CD practices for AI/ML workloads. Strong communication skills with the ability to collaborate across engineering, data, and platform teams. Job Expectations Design, develop, test, and deploy enterprise‑grade AI and Agentic AI solutions using Python, LangChain, LangGraph, and Google ADK. Lead the implementation of LLM‑powered agents and workflows aligned to business and operational use cases. Build and maintain scalable, secure, and observable AI services suitable for production environments. Contribute to companywide standards and best practices for GenAI, agent architectures, and responsible AI usage. Collaborate with platform, security, and data teams to ensure AI solutions meet enterprise requirements. Review and evaluate AI architectures and algorithms to support both tactical delivery and long‑term strategy. Mentor engineers and act as a technical leader on AI initiatives. Stay current with emerging AI technologies and recommend innovations that improve productivity and business outcomes. Posting End Date: 2 Apr 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