Sr AI Platform Engineer

About the role

Realtor.com® is the No. 1 site trusted by real‑estate professionals, connecting buyers, sellers, and renters with trusted insights and expert guidance. The company’s mission is to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. The Senior AI Platform Engineer will architect, build, and continuously improve the internal AI tooling foundation that powers safe, scalable AI adoption across the company.

• Shape the enterprise AI productivity platform and the paved‑path stack, combining core platform engineering with daily operational excellence.
• Drive the programmatic adoption of emerging open protocols like the Model Context Protocol (MCP) while maturing platform governance, access, and observability.
• Enable safe AI adoption for all employees, reducing stack fragmentation, vendor sprawl, and uncontrolled spend.

Responsibilities

• Design & implement agentic architecture: build core software platform, APIs, and SDKs for orchestration, memory layers, and state management.
• Own day‑to‑day platform operations for Portkey, Claude, Gemini, Devin, and Glean, including provisioning, de‑provisioning, access requests, license hygiene, and technical support workflows.
• Standardize AI protocols & connectors: implement and extend emerging industry protocols such as Model Context Protocol (MCP), Agent‑to‑Agent (A2A) communication, and Agentic Resource Definition (ARD).
• Engineer the LLM gateway & access layer: 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 principles, and connector approvals as Policy‑as‑Code.
• Lead maintenance & runbook engineering: manage configuration updates, version management, vendor coordination, renewal support, and create robust runbooks and support guides.
• Serve as an operational escalation point: partner with Security, IT, Legal, and business teams to resolve user issues and align tooling with acceptable‑use policies and data‑handling rules.
• Build a greenfield AI platform and lifecycle so teams can use AI safely and consistently, defining standards and guardrails for building, governing, deploying, monitoring, rolling back, and shutting down AI systems.
• Strengthen AWS infrastructure: design, secure, and scale AWS resources for AI systems, leveraging Bedrock, IAM, network security, private connectivity, egress controls, and policy‑based access.
• Drive architectural alignment via technical reviews: facilitate collaborative design reviews to define and socialize AI architectural standards across the organization.
• Lead cross‑departmental technical partnerships: act as a central technical stakeholder, validating requirements, unifying solution architectures, and reducing “Shadow AI.”

Qualifications

• 5+ years of software, platform, or systems administration experience, with a proven track record administering or supporting enterprise AI tools, developer tooling, or SaaS platforms focused on access management, support, and maintenance.
• Hands‑on familiarity with the AI stack: experience configuring, deploying, or building systems that leverage agentic architectures, tool‑calling, and platforms such as Glean, Gemini, Devin, Claude, and Portkey.
• Identity & governance expertise: strong understanding of SSO, RBAC, least‑privilege, identity lifecycle management, secure data handling, and secure connector governance in an enterprise environment.
• Solid engineering & infrastructure fundamentals: proficiency in modern backend languages (Python, Go, TypeScript) and technical integrations, plus observability, monitoring, incident alerting, and service reliability practices.
• Product Development Life Cycle (PDLC) rigor: engineering philosophy rooted in documentation, change management, configuration management, and support processes for production‑grade systems.
• Service‑oriented mindset: ability to translate technical constraints into practical guidance for both technical and non‑technical users, helping teams adopt new tools safely and sustainably.

Success Metrics

• Governed & scalable AI paved path: core AI platforms have clear, scalable access and support processes with strong license hygiene, documented ownership, and automated provisioning flows.
• Robust gateway foundation: Portkey or the approved gateway layer operates as a trusted, highly available foundation for centralized model access, guardrails, and real‑time observability.
• Operational rigor & support: automated evaluation and testing frameworks are introduced; solution teams rely on stable paved‑path platforms, documented runbooks, and active technical support channels.
• Stack rationalization & visibility: leadership gains precise visibility into tool adoption, usage trends, costs, risks, and reliability through recurring reporting and centralized metrics.

Work Environment

Realtor.com balances creativity and innovation with a foundation of in‑person collaboration. Most roles work four or more days per week in the office, providing opportunities for face‑to‑face teamwork, cultural richness, and close-knit collaboration.

Benefits

• Inclusive and competitive medical, prescription, dental, and vision coverage
• Family‑forming benefits
• 13 paid holidays
• Flexible time off
• 8 hours of paid volunteer time off
• Immediate eligibility into company 401(k) plan with 3.5 % company match
• Tuition reimbursement program for degreed and non‑degreed programs
• 1:1 personalized financial planning sessions
• Student debt retirement savings match program
• Free snacks and refreshments in each office location