Sr. AI Platform Engineer

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. Realtor.com is looking for a Senior AI Platform Engineer to architect, build, and continuously improve the internal AI tooling foundation that powers safe, scalable AI adoption across the company. This role blends software engineering rigor with core enterprise platform management. You will be responsible for building the software frameworks, protocols, and developer harnesses that allow autonomous agents to interact safely, while simultaneously owning the operational health, access governance, maintenance, and license hygiene of our key AI tools (Portkey, Claude, Gemini, Devin, and Glean). We are looking for a rigorous practitioner who advocates for software engineering excellence across the full Product Development Life Cycle (PDLC). You will leverage AI through spec-driven design, automation-driven provisioning, and robust platform maintenance, eliminating ad hoc ownership and freeing solution builders to focus on workflow design and delivery. Top Reasons to Apply: Architect and Operate the AI Paved Path: Shape the enterprise AI productivity platform and the paved-path stack at Realtor.com, combining core platform engineering with daily operational excellence. Build the Operational Backbone for AI: Drive the programmatic adoption of emerging open protocols like the Model Context Protocol (MCP) while significantly maturing platform governance, access, and observability. Make a Company-Wide Impact: Enable safe AI adoption for all employees while systematically reducing stack fragmentation, vendor sprawl, and uncontrolled spend. What You'll Do: Design & Implement Agentic Architecture: Build the core software platform, APIs, and SDKs that enable agentic use cases, focusing on orchestration, memory layers, and state management. Own Day-to-Day Platform Operations: Manage the operational lifecycles for Portkey, Claude, Gemini, Devin, and Glean, including provisioning, deprovisioning, access requests, license hygiene, and technical support workflows. Standardize AI Protocols & Connectors: Implement and extend emerging industry protocols and standards, including Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, and Agentic Resource Definition (ARD). Engineer the LLM Gateway & Access Layer: Mature our LLM gateway layer (leveraging Portkey or custom infrastructure) to centralize model access, routing, semantic caching, deterministic guardrails, spend limits, rate limiting, and PII controls. Enforce Platform Governance via Code: Implement identity lifecycle management, SSO, role-based access control (RBAC), least privilege, and connector approvals directly into the platform fabric as code (Policy-as-Code). Lead Maintenance & Runbook Engineering: Lead platform maintenance activities including configuration updates, version management, vendor coordination, and renewal support. Create and maintain robust runbooks, support guides, and handoff documentation. Serve as an Operational Escalation Point: Partner closely with Security, IT, Legal, and business teams to resolve user issues and operational blockers, aligning tooling with acceptable use policies and data handling rules. Build the AI platform. Help create a greenfield AI platform and the lifecycle around it so teams can use AI in…