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Realtor.comPosted 1 month ago

Sr. AI Platform Engineer

HybridAustin, Texas, United States

Full TimeSenior LevelLargeReal Estate Technology

Job Summary

Architect and operate the internal AI tooling foundation powering safe, scalable adoption across Realtor.com, building software frameworks, APIs, and SDKs for agentic use cases. Manage operational lifecycles for Portkey, Claude, Gemini, Devin, and Glean, including provisioning, access governance, license hygiene, and technical support workflows. Standardize emerging protocols like the Model Context Protocol and engineer the LLM gateway layer with centralized routing, guardrails, and spend controls. Enforce platform governance via code, implement identity lifecycle management, and lead maintenance activities including runbook engineering and vendor coordination. Serve as the operational escalation point for Security, IT, and business teams to resolve blockers and align tooling with acceptable use policies.

Required Qualifications

  • 5+ years of Software, Platform, or Systems Administration experience
  • A proven track record administering or supporting enterprise AI tools, developer tooling, or SaaS platforms with a strong focus 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 like 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)
  • technical integrations alongside observability, monitoring, incident alerting, and service reliability practices
  • PDLC Rigor
  • A strong engineering philosophy rooted in documentation, change management, configuration management, and support processes for production-grade systems
  • Service-Oriented Mindset
  • The ability to translate technical constraints into practical guidance for both technical and non-technical users, helping teams adopt new tools safely and sustainably
  • Must be able to lift 50 lbs

Desired Qualifications

  • Bachelor's degree

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