Director of Enterprise AI

Realtor.com Careers•Austin, TX

19h•Hybrid

About The Position

Realtor.com® is seeking a Director of Enterprise AI to scale its enterprise AI acceleration program. This role involves leading applied AI transformation across major business functions, impacting over 600 engineers and 2,000 employees. The program has validated models with production agentic workflows showing significant effort reduction, and a backlog of projects across business units. The challenge is to transform early traction into a repeatable, scalable engine for AI-driven outcomes, supported by a multi-million-dollar annual budget and executive leadership commitment.

Requirements

10+ years in engineering, AI/ML, or technology leadership with experience building and shipping AI-powered products or internal platforms.
5+ years leading technical teams, with proven ability to scale organizations from 5 to 20+ people.
Deep applied AI/ML expertise: large language models, agentic frameworks, prompt engineering, orchestration platforms.
Strong understanding of enterprise AI infrastructure: LLM gateways, model routing, cost attribution, multi-provider strategies (Anthropic, OpenAI, Google, AWS Bedrock).
Demonstrated success delivering AI business solutions with measurable ROI in production - not just proofs of concept.
Experience establishing intake, prioritization, and portfolio management for an internal platform or services team.
Track record driving AI adoption across non-technical functions (sales, marketing, finance, HR).
Strong executive presence with ability to translate AI capabilities into business impact for C-suite audiences.

Nice To Haves

Experience building or scaling an AI Center of Excellence or enterprise automation practice.
Hands-on with orchestration platforms (n8n) and LLM gateway tools (Portkey, Bedrock, VertexAI).
Experience managing enterprise AI governance - acceptable use policies, vendor security review, shadow AI mitigation.
Background in real estate technology, digital marketplaces, or media companies.
Experience within a multi-entity corporate structure with shared governance and technology standards.

Responsibilities

Build and lead the organization, scaling the team from ~4 to ~15–18 people across AI Solutions Engineering, AI Platform & Infrastructure, and AI Enablement & Programs.
Recruit, develop, and retain top talent in a fast-emerging discipline.
Drive delivery at scale, owning the end-to-end lifecycle for AI projects from intake through post-deployment measurement.
Manage a portfolio of concurrent agentic workflow builds across business domains.
Stand up the AI platform, building the infrastructure layer for scalability and governance, including LLM gateway, orchestration platform, credential management, audit logging, AI tool governance, and internal AI developer tooling roadmap.
Scale enablement and adoption by growing the program, operationalizing an AI champions network, expanding AI training curricula, and owning executive-facing reporting.
Partner across the business as the primary enterprise AI partner to leaders in Revenue, Marketing, Consumer, HR, Finance, Legal, and Corporate Communications.
Collaborate with Platform Engineering, Operations, and Security on shared infrastructure and compliance.
Manage strategic vendor relationships across LLM providers and AI SaaS platforms.
Present validated ROI and strategy to C-suite leadership.
Own the budget, managing a multi-million-dollar annual AI tooling portfolio, building business cases, driving cost optimization, and demonstrating ROI.