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Wells Fargo: Tech-powered. Innovation-led. We're transforming financial services.
The Role
Architect and develop a production-grade agentic AI platform enabling business users to configure, deploy, and manage AI agents. Build deep agents, RAG pipelines, multi-agent orchestration, LLM integrations, tool-calling protocols, and configuration-driven workflows. Ensure scalability, observability, resilience, security, and compliance while mentoring engineers and contributing to CI/CD, containerization, and deployment strategies.
Summary Generated by Built In
About this role:
Wells Fargo is seeking a Senior Software Engineer
In this role, you will:
Required Qualifications:
Desired Qualifications:
Job Expectations:
Key Responsibilities
Required Skills & Experience
Good to Have
Posting End Date:
12 Nov 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.
c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.
Wells Fargo is seeking a Senior Software Engineer
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
Desired Qualifications:
- Architect and build a Valence (CIBX) agentic platform that allows business users to configure, deploy, and manage AI agents without deep technical expertise.
- Design and develop deep agents capable of multi-step planning, tool use, memory, and autonomous task execution (e.g., using frameworks like LangGraph, DeepAgents SDK, or similar).
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for grounding agent responses in enterprise knowledge bases and documents.
- Integrate Generative AI / LLM capabilities (via internal or third-party model gateways) into scalable backend services.
- Design orchestration layers for routing, planning, task execution, and result aggregation across multiple specialized agents.
- Enable business teams to build agents for automation, analytics, insights, and predictive use cases with reusable templates and configuration-driven workflows.
- Define and implement MCP (Model @context Protocol) or similar tool-calling protocols to connect agents with enterprise systems and APIs.
- Ensure platform scalability, reliability, and observability (logging, monitoring, tracing) for production-grade agentic workloads.
- Collaborate with product, architecture, and business stakeholders to translate BAU pain points into agent-driven automation solutions.
- Mentor junior engineers and drive best practices in agentic system design, prompt engineering, and AI safety/guardrails.
- Contribute to CI/CD pipelines, containerization, and deployment strategy for the platform.
Job Expectations:
- 10-15 years of overall software engineering experience, with strong hands-on Python expertise.
- Proven experience building AI/Generative AI (GenAI) applications in production environments.
- Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures - embeddings, vector databases, chunking strategies, retrieval optimization.
- Practical experience building Agentic AI systems - multi-agent orchestration, planning, tool-calling, memory management (e.g., LangChain, LangGraph, AutoGen, CrewAI, DeepAgents, or similar).
- Experience designing low-code/configuration-driven frameworks or platforms for non-technical users.
- Solid understanding of LLM integration patterns (prompt engineering, function/tool calling, streaming responses via SSE/WebSockets).
- Strong API design skills using frameworks like FastAPI/Flask, with experience in asynchronous programming (asyncio).
- Experience with structured logging, observability, and resilience patterns (circuit breakers, retries) in distributed systems.
- Strong problem-solving skills and ability to work in a fast-paced, evolving AI product environment.
Key Responsibilities
- Architect and build a Valence (CIBX) agentic platform that allows business users to configure, deploy, and manage AI agents without deep technical expertise.
- Design and develop deep agents capable of multi-step planning, tool use, memory, and autonomous task execution (e.g., using frameworks like LangGraph, DeepAgents SDK, or similar).
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for grounding agent responses in enterprise knowledge bases and documents.
- Integrate Generative AI / LLM capabilities (via internal or third-party model gateways) into scalable backend services.
- Design orchestration layers for routing, planning, task execution, and result aggregation across multiple specialized agents.
- Enable business teams to build agents for automation, analytics, insights, and predictive use cases with reusable templates and configuration-driven workflows.
- Define and implement MCP (Model @context Protocol) or similar tool-calling protocols to connect agents with enterprise systems and APIs.
- Ensure platform scalability, reliability, and observability (logging, monitoring, tracing) for production-grade agentic workloads.
- Collaborate with product, architecture, and business stakeholders to translate BAU pain points into agent-driven automation solutions.
- Mentor junior engineers and drive best practices in agentic system design, prompt engineering, and AI safety/guardrails.
- Contribute to CI/CD pipelines, containerization, and deployment strategy for the platform.
Required Skills & Experience
- 10-15 years of overall software engineering experience, with strong hands-on Python expertise.
- Proven experience building AI/Generative AI (GenAI) applications in production environments.
- Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures - embeddings, vector databases, chunking strategies, retrieval optimization.
- Practical experience building Agentic AI systems - multi-agent orchestration, planning, tool-calling, memory management (e.g., LangChain, LangGraph, AutoGen, CrewAI, DeepAgents, or similar).
- Experience designing low-code/configuration-driven frameworks or platforms for non-technical users.
- Solid understanding of LLM integration patterns (prompt engineering, function/tool calling, streaming responses via SSE/WebSockets).
- Strong API design skills using frameworks like FastAPI/Flask, with experience in asynchronous programming (asyncio).
- Experience with structured logging, observability, and resilience patterns (circuit breakers, retries) in distributed systems.
- Strong problem-solving skills and ability to work in a fast-paced, evolving AI product environment.
Good to Have
- Experience with OpenShift/Kubernetes for container orchestration and platform deployment.
- Familiarity with MongoDB or other NoSQL databases for state/checkpoint management.
- Exposure to enterprise authentication/authorization patterns (AD/SSO, RBAC).
- Experience with CI/CD tooling (GitHub Actions, Jenkins) and code quality tools (SonarQube).
- Prior experience in financial services / capital markets domain.
- Familiarity with MCP (Model @context Protocol) or similar tool-integration standards.
Posting End Date:
12 Nov 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.
c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.
Skills Required
- 4+ years of specialty software engineering experience or equivalent work experience, training, military experience, or education
- 10-15 years of overall software engineering experience
- Strong hands-on Python expertise
- Production experience building AI or Generative AI applications
- Hands-on experience with RAG architectures, embeddings, vector databases, chunking strategies, and retrieval optimization
- Experience building agentic AI systems with multi-agent orchestration, planning, tool-calling, and memory management
- Experience designing low-code or configuration-driven frameworks for non-technical users
- Understanding of LLM integration patterns, prompt engineering, function or tool calling, and streaming responses
- Strong API design skills with FastAPI or Flask and asynchronous programming with asyncio
- Experience with structured logging, observability, and resilience patterns in distributed systems
- OpenShift or Kubernetes experience
- MongoDB or other NoSQL database experience
- Enterprise authentication and authorization experience, including AD, SSO, or RBAC
- CI/CD tooling experience with GitHub Actions or Jenkins and code quality tools such as SonarQube
- Financial services or capital markets experience
- Familiarity with MCP or similar tool-integration standards
Wells Fargo Compensation & Benefits Highlights
-
Retirement Support — Pay is considered stronger due to a 401(k) match up to 6% and, for some lower earners, an additional company contribution. Feedback suggests the retirement program is a standout element of the total package.
-
Parental & Family Support — Eligible employees can receive up to 16 weeks of paid parental leave, along with critical-caregiving leave and backup care resources. Feedback suggests this breadth of family support is a meaningful advantage.
-
Healthcare Strength — Medical, dental, and vision coverage begin on the first day for eligible employees, with the employer covering a large share of premiums in some plan scenarios. Feedback suggests access and plan breadth are strong.
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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
