Senior AI Software Engineer - MCP & Agentic Systems

About this role:

Wells Fargo is seeking a talented and passionate AI Developer to help shape the next generation of Agentic AI systems. In this role, you'll be at the forefront of building Model Context Protocol (MCP) infrastructure — designing and implementing MCP servers and clients that power intelligent, tool-using agents. You'll work closely with AI developers, and product teams to deliver robust, secure, and scalable agent frameworks that drive real-world impact.

In this role, you will:

• Design, build, and maintain MCP servers using FastMCP, enabling seamless context sharing between models and tools

• Implement MCP clients that integrate with LLM-based applications and agent run times

• Engineer authorization and access control layers within MCP infrastructure, ensuring secure and policy-compliant tool exposure

• Develop long-running autonomous agents capable of executing complex, multi-step workflows using frameworks such as LangChain or Google ADK

• Build skill-based agents that decompose capabilities into reusable, composable skills

• Own end-to-end delivery of MCP server implementations — from schema design and tool registration through to authorization enforcement and deployment

• Build and maintain a library of reusable MCP-compatible tools and skills accessible across agent runtimes

• Implement secure access control policies governing which agents and clients can invoke which tools and under what conditions

• Architect and develop long-running agent workflows that handle retries, state persistence, error recovery, and graceful termination

• Design skill-based agent systems that allow capabilities to be added, versioned, and composed without tight coupling

• Build multi-tool orchestration pipelines where agents autonomously select and sequence tools to complete complex user objectives

• Write thorough technical documentation, integration guides, and runbooks for MCP infrastructure

• Establish and uphold engineering best practices — code reviews, testing, CI/CD, and observability — across the agentic systems stack

• Stay current with the rapidly evolving MCP ecosystem and broader agentic AI landscape, bringing new patterns and improvements to the team

Required Qualifications:

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• 3+ years strong proficiency in Python with experience in building production-grade services

• 2+ years of LLM experience

• 1+ years of hands-on knowledge of the Model Context Protocol (MCP) — including protocol internals, transport layers, message schemas, and lifecycle management

• 1+ years of authentication, authorization, and access control patterns (OAuth 2.0, API keys, RBAC, scopes) applied to AI tool exposure

• 1+ years hands-on experience building long-running agents with LangChain and/or Google ADK

• 1+ years of demonstrated experience designing skill-based, modular agents with clearly defined capability boundaries

• 1+ years with RESTful APIs, async programming, and event-driven architectures

Desired Qualifications:

• Experience with agent observability and tracing tooling (e.g. LangSmith, OpenTelemetry, Arize)

• Familiarity with tool schema design and structured output validation (e.g. Pydantic, JSON Schema)

• Exposure to containerization and deployment of agent services (Docker, Kubernetes, OpenShift)

• Knowledge of prompt engineering and LLM evaluation best practices

• Understanding of AI safety principles and responsible agent design

Job Expectations:

• This position offers a hybrid work schedule

• Relocation assistance is not available for this position

• This position does not offer visa sponsorship

Locations:

• 300 S. Brevard St., Charlotte, North Carolina

• 194 S. Wood St., Iselin, New Jersey

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

Posting End Date:

*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.

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.