Sr. AI Platform Engineer
Core
Architect, build, and operate the internal AI tooling foundation enabling safe, scalable AI adoption across the enterprise, including LLM gateways, agentic architectures, and platform governance.
Role type
Senior AI Platform Engineer
Builds
Enterprise AI productivity platform, LLM gateway layer, agentic architecture frameworks, and operational tooling for AI systems.
Domain
Real Estate Technology / Enterprise AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Enterprise platform engineering, agentic architecture design, LLM gateway management, identity lifecycle management, SSO/RBAC implementation, AWS infrastructure design, Python/Go/TypeScript, observability, policy-as-code
Preferred skills
Model Context Protocol (MCP) implementation, vendor sprawl reduction, technical review facilitation, cross-departmental partnership
Technologies
AWS, Bedrock, Portkey, Claude, Gemini, Devin, Glean, MCP, A2A, ARD
Responsibilities
Design and implement agentic architecture (orchestration, memory, state management); manage operational lifecycles for AI tools (provisioning, access, license hygiene); implement and extend industry protocols (MCP, A2A, ARD); mature the LLM gateway layer (routing, guardrails, rate limiting); enforce platform governance via code (RBAC, least privilege); lead maintenance and runbook engineering; serve as operational escalation point for security and compliance issues.
Seniority
Senior, hands-on IC