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The Role
Leads development of enterprise full-stack applications and Agentic AI solutions for credit risk data modernization. Designs Python services, Java Spring Boot microservices, APIs, data pipelines, and AI systems using LangGraph, LLMs, RAG, and prompt engineering. Partners on architecture, testing, DevOps, security, and technical design while resolving complex engineering challenges. Provides mentorship, promotes responsible AI and engineering best practices, and collaborates with business and technology stakeholders to drive automation and modernization.
Summary Generated by Built In
About this role:
Wells Fargo is seeking a Lead Specialty Software Engineer to support the design and delivery of technology solutions focused on modernizing and accelerating credit risk data migration. This role will provide technical leadership in the development of enterprise applications and Agentic AI solutions using modern full stack, cloud, and artificial intelligence technologies.
The Lead Specialty Software Engineer will design, develop, and implement scalable enterprise applications and Agentic AI solutions using modern software engineering technologies and frameworks. They will partner with business and technology teams to solve complex engineering challenges, contribute to technical design and architecture decisions, and drive engineering best practices across the software development lifecycle.
The ideal candidate will bring strong hands-on software engineering experience, expertise in modern application development, and experience building Agentic AI solutions. This role will also provide technical guidance and mentorship to other engineers while helping advance application modernization, automation, and responsible AI adoption.
In this role, you will:
Required Qualifications:
Desired Qualifications:
Job Expectations:
Posting End Date:
14 Oct 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.
Wells Fargo is seeking a Lead Specialty Software Engineer to support the design and delivery of technology solutions focused on modernizing and accelerating credit risk data migration. This role will provide technical leadership in the development of enterprise applications and Agentic AI solutions using modern full stack, cloud, and artificial intelligence technologies.
The Lead Specialty Software Engineer will design, develop, and implement scalable enterprise applications and Agentic AI solutions using modern software engineering technologies and frameworks. They will partner with business and technology teams to solve complex engineering challenges, contribute to technical design and architecture decisions, and drive engineering best practices across the software development lifecycle.
The ideal candidate will bring strong hands-on software engineering experience, expertise in modern application development, and experience building Agentic AI solutions. This role will also provide technical guidance and mentorship to other engineers while helping advance application modernization, automation, and responsible AI adoption.
In this role, you will:
- Design, develop, test, deploy, and support enterprise-scale applications and AI-powered solutions
- Develop and maintain full stack applications using Angular and/or React, Spring Boot, SQL Server, and related technologies
- Design and implement Agentic AI solutions using LangGraph, LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, and agent orchestration frameworks
- Develop Python-based services, automation solutions, APIs, and data processing pipelines
- Collaborate with product owners, architects, business partners, and engineering teams to define and implement technical solutions
- Participate in architecture discussions, technical design reviews, and code reviews to ensure adherence to engineering standards and best practices
- Analyze and resolve complex technical challenges across application, database, integration, and AI solution components
- Contribute to CI/CD, DevOps, testing, security, and operational excellence initiatives
- Mentor and provide technical guidance to junior and mid-level engineers
- Stay current on emerging technologies, particularly in AI, software engineering, and application modernization
Required Qualifications:
- 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, or education
- 5+ years of experience developing Java applications using Spring Boot and microservices architectures
- 5+ years of experience developing solutions using Python
- 6+ months of experience building Agentic AI solutions using LangGraph or similar agent frameworks
Desired Qualifications:
- Experience with SQL Server, including data modeling, performance tuning, and query optimization
- Experience developing enterprise applications using Angular and/or React
- Experience working with Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), vector databases, and AI application development
- Experience designing and developing RESTful APIs and distributed systems
- Experience with Git, CI/CD pipelines, automated testing, and modern SDLC practices
- Experience with Azure, AWS, or other cloud platforms
- Experience with AI governance, observability, evaluation frameworks, and responsible AI practices
- Experience developing AI-powered productivity, automation, or modernization solutions
- Experience with semantic models, vector search, knowledge graphs, or metadata-driven architectures
- Experience with containerization technologies such as Docker and Kubernetes
- Experience working in Agile environments using Jira and modern DevOps practices
- Demonstrated ability to mentor engineers and contribute to technical leadership within a team
- Excellent verbal and written communication skills with the ability to effectively communicate technical concepts to both technical and non-technical audiences
- Strong analytical, troubleshooting, and problem-solving skills
- Passion for Agentic AI, software engineering innovation, and continuous learning
Job Expectations:
- Must be able to work onsite in one of the posted locations per the company's hybrid policy
- Serve as a senior technical contributor on strategic software engineering and AI initiatives
- Drive high-quality solution delivery through sound engineering practices and technical excellence
- Partner with business and technology teams to identify opportunities for automation, modernization, and AI adoption
- Communicate effectively with stakeholders at all levels and influence technical decisions through collaboration and expertise
- Promote a culture of innovation, ownership, continuous improvement, and engineering excellence
Posting End Date:
14 Oct 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.
Skills Required
- 5+ years of Specialty Software Engineering experience, or equivalent experience, training, military experience, or education
- 5+ years of experience developing Java applications using Spring Boot and microservices architectures
- 5+ years of experience developing solutions using Python
- At least 6 months of experience building Agentic AI solutions using LangGraph or similar agent frameworks
- Experience with SQL Server, data modeling, performance tuning, and query optimization
- Experience developing enterprise applications using Angular and/or React
- Experience with LLMs, prompt engineering, RAG, vector databases, and AI application development
- Experience designing and developing RESTful APIs and distributed systems
- Experience with Git, CI/CD pipelines, automated testing, and modern SDLC practices
- Experience with Azure, AWS, or other cloud platforms
- Experience with AI governance, observability, evaluation frameworks, and responsible AI practices
- Experience developing AI-powered productivity, automation, or modernization solutions
- Experience with semantic models, vector search, knowledge graphs, or metadata-driven architectures
- Experience with Docker and Kubernetes
- Experience working in Agile environments using Jira and modern DevOps practices
- Demonstrated ability to mentor engineers and contribute to technical leadership
- Excellent verbal and written communication skills for technical and non-technical audiences
- Strong analytical, troubleshooting, and problem-solving skills
- Passion for Agentic AI, software engineering innovation, and continuous learning
- Ability to work onsite in one of the posted locations under the company hybrid policy
Wells Fargo Compensation & Benefits Highlights
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Retirement Support — Retirement offerings are highlighted by a strong 401(k) with employer matching and added options like after‑tax contributions and an employee stock purchase plan, supporting long‑term savings. These features are presented as competitive elements of the total rewards package.
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Healthcare Strength — Medical, dental, and vision coverage are described as comprehensive, often starting on day one for eligible employees, with HSAs/FSAs, wellness incentives, and mental health resources available. Specialized care options, including fertility support, further enhance the health offering.
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Parental & Family Support — Paid parental leave of notable duration is available from the start of employment, alongside adoption/surrogacy/fertility programs. Caregiving and backup care resources deepen the family-oriented support.
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The Company
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it — Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” 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. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
Why Work With Us
We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”
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Wells Fargo Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
