Senior Specialty Software Engineer

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.

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