AI Platform Architect
Core
Design and evolve reusable platform capabilities to build, deploy, secure, observe, and scale AI products across hybrid environments.
Role type
Senior AI Platform Architect
Builds
Reference platforms, environment topology, network patterns, identity controls, model access, compute, storage, vector services, orchestration, and gateways.
Domain
Cloud infrastructure, AI/ML platforms, hybrid environments
Deliverable
production ML models | infrastructure
Required skills
Cloud platform architecture, Kubernetes, Infrastructure as Code, DevSecOps, AI runtime integration, API gateway design, vector database management, observability design
Preferred skills
Hybrid inference pattern design, model portability strategies, enterprise AI platform expertise
Technologies
Azure AI Foundry, AWS Bedrock, Google Vertex AI, Databricks, AKS, OpenShift, Terraform, Bicep, GitHub Actions, Azure DevOps, vLLM, Hugging Face, NVIDIA inference components, Ollama, Azure AI Search, PostgreSQL, Elasticsearch, Pinecone, Weaviate, Milvus, Redis, Cosmos DB, OpenTelemetry
Responsibilities
Define reference platforms and non-functional requirements; create reusable landing patterns and guardrails; partner on environment automation and release management; design hybrid inference and security patterns; integrate platform telemetry; coach colleagues on platform capabilities.
Seniority
Senior, hands-on IC with mentorship
