Principal Engineer, AI Platform
Core
Architecting and building production-grade agentic AI systems to automate engineering workflows, accelerate developer productivity, and enable cross-team collaboration at massive scale.
Role type
Principal Engineer, AI Platform Infrastructure
Builds
Enterprise stack of AI agent orchestration, managed agent compute, MCP gateways, non-human identity management, knowledge graphs, and software distribution platforms.
Domain
Game development infrastructure, AI engineering platforms, distributed systems
Deliverable
production ML models | infrastructure
Required skills
distributed systems architecture, authentication and authorization infrastructure, security engineering fundamentals, compiled systems languages, multi-service platform lifecycle ownership, LLM-integrated system design, plugin/runtime security design, knowledge graph and vector database operations
Preferred skills
Go microservices, Rust or C++, WASM sandboxing, gRPC sidecar patterns, Kubernetes multi-tenancy
Technologies
Kubernetes, EC2, NATS JetStream, Redis, Neo4j, SPIFFE/SPIRE, OIDC, OPA, OpenFGA, AES-256-GCM, Vault, WASM, gRPC
Responsibilities
Own end-to-end technical architecture for AI infrastructure platforms; design and implement cluster API and provider abstractions for agent orchestration; evolve AI MCP Gateway plugin runtime and security posture; architect knowledge graph and memory consolidation pipelines; lead AI non-human identity strategy and credential security standards; mentor senior engineers and drive technical hiring.
Seniority
Principal, hands-on IC with strategic impact
