Senior AI Software Engineer

Senior AI EngineerWe are seeking a Senior 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 with Model 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 maintain AI-enabled applications using React, TypeScript, Python, and modern API frameworks.Develop frontend applications aligned with enterprise UI standards and reusable component patterns.Build and maintain Python backend services, APIs, MCP services, and integration layers using frameworks such as MCP, FastAPI & Flask.Design, implement, and integrate with MCP servers and MCP clients that enable secure context sharing between models, tools, applications, and agent runtimes.Develop and support agentic workflows that execute complex, multi-step tasks using frameworks such as LangChain Deep Agents, Google ADK, or similar agent frameworks.Build skill-based and modular agents that 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, including Arize & Splunk compatible 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 features using MCP services, and agent orchestration layersOwn and contribute to MCP service implementations, including tool schema design, tool registration, API integration, authorization enforcement, and deployment readinessBuild and maintain MCP-compatible tools, skills, APIs, and UI components for use across AI applications and agent runtimes.Integrate AI-powered user interfaces with backend APIs, MCP servers, RAG systems, and agent workflowsImplement RBAC policies governing which users, agents, clients, and applications can invoke specific tools or servicesDevelop agent workflows that support complex user objectives through mcp & skill orchestrationAlign solutions with enterprise platform standards, including application scaffolding, security, observability, logging, testing, and deployment practicesEnsure 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 environmentsWrite and maintain technical documentation, integration guides, API specifications, and operational runbooksContribute to engineering best practices, including code reviews, automated testing, CI/CD, monitoring, and production support readinessRequired qualifications:4+ years engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education3+ years strong proficiency in Python with experience building services using frameworks such as Fast MCP, FastAPI & Flask3+ years of experience developing and integrating with REST APIs, asynchronous services, and event-driven architectures3+ years of experience integrating with AI, LLM-based systems, agent platforms, or AI APIs3+ years of experience with React and TypeScript for building frontend applications3+ years of experience with authentication, authorization, and access control patterns, including SSO, OAuth 2.0, API keys, token-based access, RBAC, and scopes3+ years of experience building or integrating with MCP servers & understanding of MCP protocol, including tool registration, schemas, message flows, clients, servers, and lifecycle patterns3+ years of experience developing agent-driven workflows using frameworks such as LangChain, Google ADK, or similar orchestration frameworks3+ years of experience frontend fundamentals, including HTML, CSS, JavaScript, browser rendering, DOM APIs, and performance tuning.3+ years of experience with automated testing with Playwright, performance testing, code reviews, and CI/CD practices3+ years of experience building secure, scalable, maintainable applications aligned with enterprise platform standardsDesired qualifications:Experience building MCP servers using FastMCP or similar Python-based MCP frameworksExperience designing MCP-compatible tools, reusable skills, and modular agent capabilitiesFamiliarity with tool schema design and structured output validation using tools such as Pydantic, JSON Schema, or ZodExperience with long-running autonomous agents that support retries, state persistence, error recovery, graceful termination, and multi-step workflow execution. Experience with RAG-based retrieval systems, vector search, embeddings, or enterprise knowledge retrieval patternsExperience with agent observability and tracing tools such as LangSmith, Open Telemetry, Arize, or similar platformsExposure to Splunk or enterprise observability frameworksExperience with Docker, OpenShift, Kubernetes, or similar containerization and deployment platformsExperience with Copilot Studio, Microsoft Teams UI integration, or conversational application platformsKnowledge of prompt engineering, skill engineering, and knowledge graphs such as llm_wiki and OKFFamiliarity with secure enterprise software delivery, platform governance, and reusable engineering standardsJob Expectations:This position is not eligible for Visa sponsorshipRelocation assistance is not available for this positionPosition offers a hybrid work scheduleJob Location Posting:751 Pinnacle Dr., McLean, VA 22102Pay 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. $143,000.00 - $224,000.00Benefits:Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.Health benefits401(k) PlanPaid time offDisability benefitsLife insurance, critical illness insurance, and accident insuranceParental leaveCritical caregiving leaveDiscounts and savingsCommuter benefitsTuition reimbursementScholarships for dependent childrenAdoption reimbursementPosting End Date:7 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),