Lead Software Engineer - Python Full Stack Developer with Generative AI Expertise

Lead Software Engineer -Python Full Stack Developer - GEN AI

About this role:

Wells Fargo is seeking a Lead Software Engineer (Python Full Stack Developer - GEN AI) who brings technical leadership in application modernization, platform integration, and reusable accelerator development, enabling parallel execution across committed delivery streams

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:

• Advanced coding skills in Python
• FrontEnd: React/Angular
• Backend: FastAPI / Flask
• Data layer: SQLServer/Redis
• Streaming: Kafka
• Agentic AI: LangGraph, LangChain, A2A (Good to Have)
• CI/CD: (GitHub Actions / Azure DevOps), Kubernates
• Experience designing and optimizing large-scale data pipelines
• Hands‑on experience with DevOps pipelines, CI/CD, and test automation
• Solid understanding of unit testing, code coverage, and vulnerability remediation
• Experience with streaming and caching technologies such as Kafka and Redis
• Solid understanding of distributed systems, APIs, and microservices architecture.
• Demonstrated ability to lead technical initiatives and influence engineering decisions across multiple teams.
• Exposure to reporting and visualization tools (Power BI, Tableau)
• Experience working in Agile/Scrum environments
• Strong problem‑solving, communication, and leadership skills
• 2+ years of hands‑on experience building and deploying AI/ML solutions in production environments.
• 2+ years of experience working with Generative AI systems, including large language models.

Behavioural & Leadership Expectations

• Acts as a technical role model for the team
• Drives accountability, quality, and engineering discipline
• Demonstrates strong ownership and decision‑making capability
• Effectively communicates complex technical concepts to both technical and non‑technical stakeholders

Job Expectations:

• Proven experience designing and implementing Retrieval‑Augmented Generation (RAG) architectures using vector databases and retrieval frameworks.
• Experience building agentic AI or multi‑agent orchestration systems.
• Familiarity with enterprise AI governance, model risk management, and model lifecycle controls.

Posting End Date: 

18 May 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.

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