AI & Data Architect

RRA CAPITAL LLC
Phoenix, AZ, United States
about 2 months ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

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
+3 more
Virtual Agents Hubspot Databricks

Job 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.

Requirements

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.

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • 401(k) matching
  • Unlimited paid time off, Compensation is designed to attract top-tier technical talent. Benefits include medical insurance, 401(k) with employer match, and unlimited PTO.

About the company

Phoenix-based is strongly preferred. Exceptional candidates in New York City will be considered.

Why this seat is different:

RRA 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. We value intellectual curiosity, ownership, and people who are genuinely enjoyable to work with.

You 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:20 min

Automating lead generation with HubSpot CRM integration

Felix Augenstein · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

6:10 min

Transitioning agile recruiting teams away from manual spreadsheet management

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all

Related articles

See all