Lead Software Engineer- Gen AI

About this role:

Wells Fargo is seeking a Lead 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 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:

• Proven hands-on software development expertise in designing and delivering high‑performance, large‑scale, distributed applications.

• 3+ 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.

• Proven hands-on experience building and deploying AI-powered applications in enterprise environments, including RAG, LLM APIs, and low-code GenAI solutions (Copilot Studio or equivalent).

• Strong understanding of LLM evaluation metrics, golden dataset design, faithfulness/grounding checks, hallucination scoring, and automated model-graded evaluations.

• Experience implementing observability and monitoring for AI systems (logs, traces, metrics, token usage, latency, and error tracking).

• Proven ability to drive cross-functional programs and influence senior stakeholders.

• Ensure responsible AI and security controls—guardrails, PII filtering, DLP, red-teaming, and safe deployment practices.

• Strong understanding of AI and ML algorithms, spanning supervised/unsupervised learning, deep learning, transformers, optimization methods, and practical application of these techniques in production systems.

• 4+ years experience using Git or other version control systems

Desired Experience:

• Experience with low-code / enterprise platforms such as Copilot Studio, Power Platform, or Agent Space.

• Knowledge in Vector database , chunking and embedding models

• Hands-on knowledge of LangChain, LangGraph, or other agent orchestration frameworks.

• Strong understanding of Risk Management, Controls, Testing & Monitoring, or governance frameworks within corporate risk environments.

• Proficiency in Python coding , NodeJS

• Experience in design, code, test, debug, and documentation for projects and programs associated with technology domain, including upgrades and deployments

Posting End Date: 

6 Mar 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.