Wells Fargo
US - North Carolina - Charlotte
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About This Role
Wells Fargo is seeking a Senior Specialty Software Engineer (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.
The Senior Engineer will partner across product, architecture, data, cyber, and risk teams to ensure high-quality GenAI delivery aligned with Wells Fargo engineering standards and the Product Operating Model.
In This Role, You Will
Lead or participate in complex initiatives on selected domains
Assure quality, security and compliance for supported systems and applications
Serve as a technical resource in finding software solutions
Review and evaluate user needs and determine requirements
Provide technical support, advice, and consultation with the issues relating to supported applications
Create test data and conduct interfaces and unit tests
Design, code, test, debug and document programs using Agile development practices
Understand and participate to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
Conduct research and resolve problems in relation to processes and recommend solutions and process improvements
Assist other individuals in advanced software development
Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
Required Qualifications:
4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of DevSecOps experience
1+ year of experience with GenAI
Desired Qualifications:
Experience with enterprise GenAI environments (e.g., Tachyon GenAI Studio).
Familiarity with multi-agent orchestration, embeddings, retrieval optimization, and evaluation methods.
Understanding of enterprise security, AI governance, or model-risk frameworks.
Experience coaching engineers or leading scrum teams.
4+ years of backend or full-stack engineering; strong distributed-systems experience.
2+ years working with LLMs, GenAI, agent frameworks, vector DBs, or RAG systems.
Hands-on experience with Python and/or Java; familiarity with LangChain, LlamaIndex, HuggingFace, etc.
Experience deploying on AWS/Azure and containerized environments.
Strong knowledge of data engineering, APIs, microservices, and observability.
Job Expectations:
This position offers a hybrid work schedule.
Ability to travel up to 5% of the time
Posting End Date:
9 Jun 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
Third-Party recordings are prohibited unless authorized by Wells Fargo.
Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
Reference Number
R-545257
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