{"id":2491778,"url":"https://alion.io/job/rracapital-ai-data-architect","title":"AI & Data Architect","company":{"id":4423464,"name":"RRA Capital","domain":"rracapital.com","url":"https://alion.io/company/rracapital","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Phoenix, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":121000,"max_usd":242000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":414},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"LangGraph","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"OpenAI","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Snowflake","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-07-02T22:14:18Z","employer_posted_date":"2026-07-02","last_verified_at":"2026-10-18T01:47:54Z","board_verified":true,"closed_at":null,"days_open":107,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":106},"description":"RRA Capital | Phoenix, AZ\nRRA Capital is a real estate credit platform focused on structured lending and opportunistic investments, powered by a lean, high-performing team with direct access to decision-makers.\nRRA Culture and Core Values\nWe value intellectual curiosity, ownership, and people who are genuinely enjoyable to work with.\nEnjoyable to Be Around - Team-oriented, professional, and ego-free.\nPassionate About Continuous Improvement - Committed to self-growth and feedback.\nSmart - Creative, efficient, and solutions-driven-not academic.\nReliable - Self-starters with a deep sense of ownership and follow-through.\nIf you thrive in an entrepreneurial environment and are excited to contribute to a firm that’s growing with purpose and discipline, we’d love to hear from you.\nReach out to Lisa Donovan or apply at rracapital.com.\n#LI-LD1\n AI & Data Architect\nMost AI roles at this level ask you to maintain what someone else built. This one asks you to build it.\nWe're hiring our first AI and Data Architect - the person who designs and builds the data foundation that will power how we invest, operate, and eventually deploy intelligent agents across the firm.\nThere is not much of a stack to inherit. No committee to slow you down. No ten layers of approval. Just direct access to leadership, and the autonomy to build it right.\nWhat you'll own:\nYou'll start by understanding our data - where it lives, what it means, how it moves across Microsoft 365, HubSpot, underwriting files, loan documents, emails, and market research. Then you'll build the foundation: a unified knowledge layer with enterprise search, clean governance, and secure permissions. From there, the work hypothesis moves toward AI copilots for our investment and operations teams, and eventually an agent-first operating model, harnessing AI to build an \"appified\" RRA experience.\nThe 24-month outcome we're building toward: enterprise search across firm knowledge, a trusted data layer connecting our core systems, AI copilots deployed to business teams, and a meaningful reduction in manual workflows.\nYou'll translate that vision into architecture. Then you'll build it.\nWhat we're looking for:\nYou don't need 15 years. You need to be genuinely excellent - the kind of person who has already built things that work in production, not just in demos. If you're earlier in your career and your work speaks for itself, we want to hear from you.\nSpecifically:\nHands-on experience with modern data platforms - e.g. Microsoft Fabric, Databricks, Snowflake or similar\nExperience building with cloud AI services - e.g. Azure AI Foundry (including Azure OpenAI), and Azure AI Search, or their AWS/GCP equivalents\nYou know the difference between a working prototype and a production-grade system - and you've shipped the latter\nExperience building agentic AI systems - multi-step workflows where AI takes actions, not just answers questions - using frameworks like LangGraph, Semantic Kernel, OpenAI's or Anthropic's agent SDKs, or equivalent\nYou understand data governance, identity management, and permissions in an enterprise environment\nYou can operate independently - there's no large engineering team here, and that's intentional\nFinancial services experience is a plus, not a requirement. Intellectual curiosity about how a real estate credit firm actually works - how deals get evaluated, structured, and closed - matters more.\nPhoenix-based is strongly preferred. Exceptional candidates in New York City will be considered.\nWhy this seat is different:\nYou won't be one of fifty engineers working on a feature. You'll be the architect of an entire firm's data and AI foundation - with your name on every major decision. The problems are real, the access is direct, and the upside of building something that works is visible immediately.\nCompensation is designed to attract top-tier technical talent. 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