Lead AI Software Engineer
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Job Summary
About this role:
We are seeking an AI Engineer to help design build and deliver next-generation AI-enabled applications and agentic systems. This role combines hands-on engineering across frontend applications Python backend services MCP infrastructure agent workflows and secure enterprise integrations.
As an AI Engineer you will build user-facing applications and backend services that integrate withModel Context Protocol(MCP)servers LLM-based applications RAG-based retrieval systems and agent orchestration platforms.You will work closely with AI developers platform engineers product teams and other stakeholders to deliver scalable secure observable and production-ready AI solutions.
This engineering role is suited for candidates who can contribute across the full stack while also helping shape reusable patterns for MCP-enabled tools skills and agent-driven workflows.
In this role you will
Design build and maintainAI-enabled applicationsusing React TypeScript Python and modern API frameworks.
Developfrontend applicationsaligned with enterprise UI standards and reusable component patterns.
Build and maintainPython backend services APIs MCP services and integration layersusing frameworks such asMCPFastAPI&Flask.
Design implement and integrate withMCP servers and MCP clientsthat enable secure context sharing between models tools applications and agent runtimes.
Develop and supportagentic workflowsthat executecomplex multi-step tasks using frameworks such as LangChain Deep Agents Google ADK or similar agent frameworks.
Buildskill-based and modular agentsthat decompose capabilities into reusable composable and versioned skills.
Build reusable components services tool schemas and integration patterns that can be shared across enterprise AI applications.
Integrate logging tracing and observability frameworks includingArize &Splunkcompatible logging and agent observability tooling.
Ensure applications and services are ready for deployment on enterprise container platforms such as OpenShift or Kubernetes.
Collaborate with AI developers platform engineers product teams and architecture partners to deliver robust and scalable AI solutions.
Key responsibilities
Deliver end-to-end AI application featuresusing MCP services and agent orchestration layers.
Own and contribute toMCP service implementations including tool schema design tool registration API integration authorization enforcement and deployment readiness.
Build and maintainMCP-compatible tools skills APIs and UI componentsfor use across AI applications and agent runtimes.
Integrate AI-powered user interfaces withbackend APIs MCP servers RAG systems and agent workflows.
ImplementRBACpolicies governing which users agents clients and applications can invoke specific tools or services.
Develop agent workflows that support complex user objectives throughmcp &skillorchestration.
Align solutions with enterprise platform standards including application scaffolding security observability logging testing and deployment practices.
Ensure frontend applications are performant accessible maintainable and aligned with reusable design patterns.
Ensure backend and AI services are scalable observable secure and ready for deployment on OpenShift or Kubernetes-based environments.
Write and maintain technical documentation integration guides API specifications and operational runbooks.
Contribute to engineering best practices including code reviews automated testing CI/CD monitoring and production support readines
Required qualifications
Specialty Software Engineering experience or equivalent demonstrated through one or a combination of the following: work experience training military experience education
Strong proficiency inPythonwith experience building services using frameworks such asFast MCPFastAPI&Flask.
Experience developing and integrating withREST APIsasynchronous services and event-driven architectures.
Experience integrating withAI LLM-based systems agent platforms or AI APIs.
Experience withReact and TypeScriptfor building frontend applications.
Experiencewithauthentication authorization and access controlpatterns including SSO OAuth 2.0 API keys token-based access RBAC and scopes.
Experience building or integrating withMCPservers&understanding ofMCPprotocol including tool registration schemas message flows clients servers and lifecycle patterns.
Experience developingagent-driven workflowsusing frameworks such as LangChain Google ADK or similar orchestration frameworks.
Experience frontend fundamentals includingHTML CSS JavaScript browser rendering DOM APIs and performance tuning.
Experience withautomated testing withPlaywrightperformance testing code reviews and CI/CD practices.
Experience building secure scalable maintainable applications aligned with enterprise platform standards.
Desired qualifications
ExperiencebuildingMCP serversusing FastMCP or similar Python-based MCP frameworks.
Experience designingMCP-compatible tools reusable skills and modular agent capabilities.
Familiarity withtool schema designand structured output validation using tools such as Pydantic JSON Schema or Zod.
Experience withlong-running autonomous agentsthat support retries state persistence error recovery graceful termination and multi-step workflow execution.Experience withRAG-based retrieval systemsvector search embeddings or enterprise knowledge retrieval patterns.
Experience withagent observability and tracingtools such as LangSmith OpenTelemetry Arize or similar platforms.
Exposure toSplunk or enterprise observability frameworks.
Experience withDocker OpenShift Kubernetes or similar containerization and deployment platforms.
Experience withCopilot Studio Microsoft Teams UI integrationor conversational application platforms.
Knowledge of prompt engineering skill engineering and knowledge graphs such as llmwiki and OKF.
Familiarity with secure enterprise software delivery platform governance and reusable engineering standards.
This position is not eligible for Visa sponsorship
Relocation assistance is not available for this position
Position offers a hybrid work schedule
Posting End Date:
29 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 units 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 visitDisability 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.
Required Experience:
IC
About Company
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