Principal AI Platform Engineer
Core
Design and build agentic data interfaces, systems, and agents that enable AI systems to discover, understand, and safely use governed enterprise data products.
Role type
Principal AI Platform Engineer
Builds
Agentic data interfaces, MCP-compatible endpoints, data agents, and production systems for AI data access
Domain
Enterprise data infrastructure, AI engineering, distributed systems, and data governance
Deliverable
production ML models | product features
Required skills
Data engineering, distributed systems, AI-enabled data systems, SQL, APIs, vector search, knowledge graphs, metadata systems, agentic interfaces, tool-calling, Python, governance (access control, policies, lineage), product-minded judgment
Preferred skills
Data mesh, semantic models, MCP servers, LLM orchestration, RAG systems, enterprise identity systems (SSO, OAuth, RBAC, ABAC)
Technologies
MCP, Python, SQL, vector databases, graph databases, lakehouse architectures
Responsibilities
Design agentic data interfaces for AI agent discovery and safe data usage; Build MCP-compatible endpoints and tools for governed AI/data access; Develop data agents that reason over metadata and policies; Make data products AI-ready across SQL, documents, vectors, and graphs; Build safe query flows with policy enforcement and audit trails; Define reusable patterns for agent-readable metadata and observability
Seniority
Principal, hands-on IC with strategy & mentorship
