{"id":3926885,"url":"https://alion.io/job/wells-fargo-senior-ai-software-engineer","title":"Senior AI Software Engineer","company":{"id":1977,"name":"Wells Fargo","domain":"wellsfargo.com","url":"https://alion.io/company/wells-fargo","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":240,"ghost_share":0,"stale_share":0,"repost_share":0.013,"time_to_fill_p50_days":16,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tysons, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":143000,"max":224000,"currency":"USD","period":"year","gross":null,"usd_annual":224000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Google ADK","optional":false},{"name":"JavaScript","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"Microsoft Teams","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenShift","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Playwright","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Splunk","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Zod","optional":false}],"status":"closed","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-09T19:46:15Z","board_verified":false,"closed_at":"2026-11-09T19:46:15Z","days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"We are seeking an 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.\nAs 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.\nThis 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.\nIn this role you will\nDesign, build, and maintain AI-enabled applications using React, TypeScript, Python, and modern API frameworks. \nDevelop frontend applications aligned with enterprise UI standards and reusable component patterns. \nBuild and maintain Python backend services, APIs, MCP services, and integration layers using frameworks such as MCP, FastAPI & Flask. \nDesign, implement, and integrate with MCP servers and MCP clients that enable secure context sharing between models, tools, applications, and agent runtimes. \nDevelop and support agentic workflows that execute complex, multi-step tasks using frameworks such as LangChain Deep Agents, Google ADK, or similar agent frameworks. \nBuild skill-based and modular agents that decompose capabilities into reusable, composable, and versioned skills. \nBuild reusable components, services, tool schemas, and integration patterns that can be shared across enterprise AI applications. \nIntegrate logging, tracing, and observability frameworks, including Arize & Splunk compatible logging and agent observability tooling. \nEnsure applications and services are ready for deployment on enterprise container platforms such as OpenShift or Kubernetes. \nCollaborate with AI developers, platform engineers, product teams, and architecture partners to deliver robust and scalable AI solutions. \nKey responsibilities\nDeliver end-to-end AI application featuresusing MCP services, and agent orchestration layers \nOwn and contribute to MCP service implementations, including tool schema design, tool registration, API integration, authorization enforcement, and deployment readiness \nBuild and maintain MCP-compatible tools, skills, APIs, and UI components for use across AI applications and agent runtimes. \nIntegrate AI-powered user interfaces with backend APIs, MCP servers, RAG systems, and agent workflows \nImplement RBAC policies governing which users, agents, clients, and applications can invoke specific tools or services \nDevelop agent workflows that support complex user objectives through mcp & skill orchestration \nAlign solutions with enterprise platform standards, including application scaffolding, security, observability, logging, testing, and deployment practices \nEnsure frontend applications are performant, accessible, maintainable, and aligned with reusable design patterns. \nEnsure backend and AI services are scalable, observable, secure, and ready for deployment on OpenShift or Kubernetes-based environments \nWrite and maintain technical documentation, integration guides, API specifications, and operational runbooks \nContribute to engineering best practices, including code reviews, automated testing, CI/CD, monitoring, and production support readines\nRequired qualifications\n4+ years engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education\n3+ years strong proficiency in Python with experience building services using frameworks such as Fast MCP, FastAPI & Flask \n3+ years of experience developing and integrating with REST APIs, asynchronous services, and event-driven architectures \n3+ years of experience integrating with AI, LLM-based systems, agent platforms, or AI APIs \n3+ years of experience with React and TypeScript for building frontend applications \n3+ years of experience with authentication, authorization, and access control patterns, including SSO, OAuth 2.0, API keys, token-based access, RBAC, and scopes \n3+ years of experience building or integrating with MCP servers & understanding of MCP protocol, including tool registration, schemas, message flows, clients, servers, and lifecycle patterns \n3+ years of experience developing agent-driven workflows using frameworks such as LangChain, Google ADK, or similar orchestration frameworks \n3+ years of experience frontend fundamentals, including HTML, CSS, JavaScript, browser rendering, DOM APIs, and performance tuning. \n3+ years of experience with automated testing with Playwright, performance testing, code reviews, and CI/CD practices \n3+ years of experience building secure, scalable, maintainable applications aligned with enterprise platform standards \nDesired qualifications\nExperience building MCP servers using FastMCP or similar Python-based MCP frameworks \nExperience designing MCP-compatible tools, reusable skills, and modular agent capabilities \nFamiliarity with tool schema design and structured output validation using tools such as Pydantic, JSON Schema, or Zod \nExperience 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 patterns \nExperience with agent observability and tracing tools such as LangSmith, Open Telemetry, Arize, or similar platforms \nExposure to Splunk or enterprise observability frameworks \nExperience with Docker, OpenShift, Kubernetes, or similar containerization and deployment platforms \nExperience with Copilot Studio, Microsoft Teams UI integration, or conversational application platforms \nKnowledge of prompt engineering, skill engineering, and knowledge graphs such as llm_wiki and OKF \nFamiliarity with secure enterprise software delivery, platform governance, and reusable engineering standards \nJob Expectations:\nThis position is not eligible for Visa sponsorship\nRelocation assistance is not available for this position\nPosition offers a hybrid work schedule\nJob Location Posting:\n751 Pinnacle Dr., McLean, VA 22102\nPay Range\nReflected 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.\n$143,000.00 - $224,000.00\nBenefits\nWells 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.\nHealth benefits\n401(k) Plan\nPaid time off\nDisability benefits\nLife insurance, critical illness insurance, and accident insurance\nParental leave\nCritical caregiving leave\nDiscounts and savings\nCommuter benefits\nTuition reimbursement\nScholarships for dependent children\nAdoption reimbursement\nPosting End Date:\n7 Nov 2026*Job posting may come down early due to volume of applicants.\nWe Value Equal Opportunity\nWells 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.\nEmployees 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.\nApplicants with Disabilities\nTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.\nDrug and Alcohol Policy\nWells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.\nWells Fargo Recruitment and Hiring Requirements:\na. Third-Party recordings are prohibited unless authorized by Wells Fargo.\nb. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.\nc. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.","description_format":"text","description_chars":9307,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work","Life insurance","Parental leave","Relocation assistance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory","Mortgage Lending & Brokers"],"lifecycle":[{"event":"open","at":"2026-11-07T20:13:47Z"},{"event":"close","at":"2026-11-09T19:46:15Z"}],"visa":[{"country":"US","licensed_sponsor":false,"adverts_offering_sponsorship_24m":5,"sanctioned_now":false,"evidence":"Offered visa sponsorship in 5 of its adverts here in 24 months","filings_12m":0,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":null,"route":null,"cap_exempt":false,"checked_at":"2026-11-11T07:38:50+00:00","sources":["Alion: sponsorship offered in the employer's own job adverts (24 months)"],"filings_for_role_12m":0}],"liveness":null,"pay":{"stated_usd_annual":224000,"is_top_pay":true},"html_url":"https://alion.io/job/wells-fargo-senior-ai-software-engineer","json_url":"https://alion.io/job/wells-fargo-senior-ai-software-engineer.json","meta":{"generated_at":"2026-11-11T19:17:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":37212,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1977},"rest":"https://alion.io/mcp/rest/get_company?id=1977"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwells-fargo-senior-ai-software-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fwells-fargo-senior-ai-software-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fwells-fargo-senior-ai-software-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/wells-fargo-senior-ai-software-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwells-fargo-senior-ai-software-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3926885}},{"tool":"search_jobs","arguments":{"company":"wellsfargo.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3926885},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}