Applied AI Platform Engineer III
Core
Build platforms, tooling, accelerators, and frameworks for AI engineering teams to enable scalable, governed AI/ML development and deployment.
Role type
Senior IC platform engineer (AI/ML infrastructure)
Builds
Internal developer platforms, MLOps/LLMOps tooling, model serving infrastructure, vector databases, and AI control planes
Domain
Enterprise AI/ML infrastructure and platform engineering
Deliverable
production ML models
Required skills
Platform engineering, distributed systems, MLOps/LLMOps, model serving, vector infrastructure, policy-as-code, container orchestration, IaC, CI/CD, OpenTelemetry, SRE practices
Preferred skills
AI and Agentic SSDLC, data governance, observability tooling, technical leadership
Technologies
Kubernetes, Docker, Terraform, Python, Go, Kubernetes, OpenTelemetry, vector databases, MLOps frameworks
Responsibilities
Design and build reusable platform components and golden paths for AI engineering teams; Lead requirement discovery and component design for platform services and the AI control plane; Manage platform dependencies, code design, and data/policy-as-code enforcement layers; Collaborate with SRE, security, and data governance to define service-level objectives and production standards; Create technical specifications and codify recurring patterns into scalable, supportable code; Engage with consuming teams to ensure capabilities are adopted and solve real needs.
Seniority
Senior, hands-on IC