AI Forward Deployed Engineer – Enterprise

What are we building?

Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We’re building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer interaction, experience, behavior, and insight and strive to ensure we’re always acting authentically. 

Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We’re taking that foundation of success and bringing it to the digital space - ready to join us?

What’s the position?

We're hiring an AI Forward Deployed Engineer to build agentic and generative AI for our Enterprise functions: Finance, Legal, Data Protection (DPO), and HR. This is an end-to-end role. You'll own features from the backend to the frontend and ship internal tools that put AI in the hands of finance, legal, and people teams, automating document-heavy, policy-bound work like contract review, reconciliation and reporting, privacy operations, and HR support.

You'll work hands-on with agents, prompt engineering, and RAG over sensitive internal data, holding the highest bar for privacy, confidentiality, auditability, and fairness. Because these functions help govern how the company adopts AI, you'll often build the guardrails other teams rely on.

What you'll do

• Build and ship AI features end to end, from the Python and FastAPI backend to the Next.js and React frontend, as internal tools for Finance, Legal, and HR users.

• Automate Finance workflows, including reconciliation, reporting and variance analysis, FP&A support, invoice and document extraction, and procurement analysis.

• Build contract intelligence for Legal, including clause extraction, redlining support, and obligation and renewal tracking across jurisdictions.

• Support the DPO and privacy program, including PII detection and redaction, DSAR automation, records of processing, and retention enforcement.

• Build HR tools, including handbook and benefits Q&A, recruiting and onboarding automation, and people-analytics support, with strict bias, fairness, and confidentiality controls.

• Build the data and retrieval foundation: document AI, RAG, vector search, and MCP servers over sensitive internal corpora and warehouse data, with grounding, citations, and access controls.

• Embed privacy-preserving patterns and human-in-the-loop review (redaction, data minimization, role-based access, audit trails, explainability) into anything that touches regulated or people-impacting decisions.

• Help operationalize AI governance and guardrails aligned to ISO 42001, NIST AI RMF, the EU AI Act, and OWASP, and ship securely and reliably in production.