> Markdown version of [/jobs/ext/1202648-ai-data-architect](https://www.wearedevelopers.com/jobs/ext/1202648-ai-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI & Data Architect - **Company:** RRA CAPITAL LLC - **Location:** Phoenix, AZ, United States - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Artificial Intelligence, Microsoft Azure, Data Architecture, Data Governance, Data Infrastructure, Identity and Access Management, Search Technologies, Enterprise Search, Snowflake, Data Layers, Microsoft Fabric, Virtual Agents, Hubspot, Databricks - **Published:** July 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0878f4b0c495b7b0 ## About the Role You 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., * Hands-on experience with Microsoft Fabric, Azure AI Foundry, Azure OpenAI, Azure AI Search, Databricks, Snowflake, or similar modern data platforms * You know the difference between a working prototype and a production-grade system - and you've shipped the latter * Experience with agentic AI frameworks (LangChain, LangGraph, Copilot Studio, or equivalent) * You understand data governance, identity management, and permissions in an enterprise environment * You can operate independently - there's no large engineering team here, and that's intentional Financial 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. ## Description Most AI roles at this level ask you to maintain what someone else built. This one asks you to build it. RRA Capital is a boutique real estate credit firm. We move fast, make real investment decisions, and run lean by design. We'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. There is no existing 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. What you'll own: You'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 roadmap moves toward AI copilots for our investment and operations teams, and eventually an agent-first operating model. The 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. ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career)