{"id":4213138,"url":"https://alion.io/job/factset-ai-foundry-bu-deployed-engineer-2","title":"AI Foundry BU Deployed Engineer","company":{"id":34841,"name":"FactSet","domain":"factset.com","url":"https://alion.io/company/factset","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-11-13T01:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-13T01:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations.\n\nYour Team's Impact:\nAI Foundry - BU Deployed Engineer\n\nRole Overview:\n\nThe AI Foundry Forward Deployed SBU Engineer serves as the bridge between AI platform capabilities and real-world financial workflows. This role combines deep domain expertise in capital markets with strong AI engineering skills to rapidly design, prototype, deploy, and scale AI-native solutions for specific business units and strategic client opportunities.\n\nUnlike a traditional software engineer, this individual is expected to operate at the intersection of product, engineering, consulting, and financial workflows. They must understand how investment professionals, advisors, bankers, analysts, portfolio managers, and relationship managers work, and be capable of helping existing teams translate their applications from legacy systems to modern AI-native designs. The ideal candidate is comfortable with tackling large open-ended problems, designing agent workflows with product teams, integrating APIs and MCPs with engineers, and demonstrating solutions directly to clients.\n\nWhat You'll Do:\nPartner directly with Banking, Wealth, Buy-Side, and Research teams to identify high-value AI opportunities.\nDesign AI-native workflows that solve real user problems rather than simply embedding AI into existing products.\nDeconstruct existing products and applications into key high-value primitives to fuel AI agents and workflows (APIs, MCPs / Tools, Agents, and more).\nServe as the technical lead for strategic pilots, proofs of concept, and forward-deployed engagements.\nDevelop reusable patterns that can transition from custom solutions into scalable platform capabilities.\n\nAI Solution Development:\nBuild agentic workflows using Foundry platforms, APIs, MCPs, evaluation frameworks, and agent infrastructure.\nDesign prompt, tool, memory, and workflow architectures.\nCreate deterministic, auditable workflows suitable for institutional financial clients.\nLeverage evaluation frameworks to improve quality, repeatability, and trustworthiness.\nPrototype and validate new solutions rapidly with end users.\n\nWhat We're Looking For:\n\nFinancial Markets Expertise:\n5+ years experience building applications in finance.\nStrong understanding of at least one:\nWealth Management\nInvestment Banking\nAsset Management\nBuy-Side Research\nInstitutional Portfolio Management\nPreferred understanding of:\nSecurities\nEquities\nFixed income\nETFs\nMutual funds\nAlternative investments\nPortfolio analytics\nRisk analytics\nBenchmarks\nPerformance attribution\n\nAI and Technical Skills:\n1+ years experience building AI-based applications.\nRequired:\nWeb Development or Python\nAPIs, MCP Implementations, and Tool Calling Architectures\nLLMs\nPrompt engineering\nAgent architectures\nVector search / RAG\nEvaluation frameworks\nWorkflow orchestration\nCloud-native development\nPreferred:\nMulti-agent systems\nKnowledge graphs\nRetrieval systems\nFine-tuning concepts\nAgent memory systems\nAI governance frameworks\n\nEngineering Fundamentals:\n10+ years experience building software applications.\nRequired:\nSolution architecture\nSecurity and governance\nSoftware development lifecycle\nProduction deployment experience\nCI/CD\nContainerization\n\nProduct Builder Mindset:\nEnjoys creating ambiguous zero-to-one solutions.\nSkills\nLLMs, Large Language Models, Python, Solution Architecture, Web Development","description_format":"text","description_chars":3731,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Metals & Metallurgy","Metal Fabrication","Data Providers & 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