ME00458 AI Platform Engineers
Core
Design, build, and operate the company's internal AI platform to enable engineering teams to develop AI solutions rapidly, securely, and at scale.
Role type
Senior Platform Engineer (AI Infrastructure)
Builds
Internal AI platform including model routing, API gateway, cost management, rate limiting, and observability tools.
Domain
Artificial Intelligence / Enterprise Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Platform engineering, ML/AI platform design and operations, containerization (Docker, Kubernetes), CI/CD pipelines, LLM API integration, cost optimization, observability (Datadog, Grafana, OpenTelemetry), technical governance, security compliance
Preferred skills
Strategic thinking, developer experience focus, cross-functional collaboration, technical leadership
Technologies
Docker, Kubernetes, OpenAI, Anthropic, Copilot, LangSmith, Datadog, Grafana, OpenTelemetry
Responsibilities
Design and operate internal AI platform components (model routing, API gateway, cost management, rate limiting, observability); Evaluate and implement enterprise AI tools; Build and maintain internal libraries, SDKs, and abstractions; Lead AI system observability (tracing, logging, latency and cost dashboards); Define platform standards (model versioning, prompt control, deployment processes); Ensure technical governance of AI systems (risk, audit, compliance); Collaborate with security, legal, and compliance teams; Enable other teams through documentation, best practices, and mentoring
Seniority
Senior, hands-on IC with strategic platform ownership