Platform Engineer - Enterprise AI

About the role

About Turing

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.

Role: Enterprise AI - Platform Engineer Location: New York City, Madison Square Park area Reports to: Head of Engineering Experience Level: 6+ years Work Model: Hybrid, with regular in-office presence

Why Join Enterprise AI?

Enterprise AI is building the platform that enables reliable deployment of AI systems across enterprise environments.

As a Platform Engineer, you will build and operate the core of Turing’s Enterprise AI platform, including platform services, the model gateway, multi-tenant infrastructure, CI/CD, infrastructure as code, and observability.

The central challenge is creating repeatable deployments across environments Turing may not control, including client cloud accounts, dedicated instances, and sovereign installations.

As a Platform Engineer, You Will

Build Core Platform Services

Design, build, and operate the services that support the Enterprise AI platform, including platform infrastructure and the model gateway.

Enable Enterprise Deployment

Create reliable deployment systems for client cloud accounts, dedicated instances, and sovereign environments.

Own Infrastructure and Delivery Systems

Build and maintain CI/CD, infrastructure as code, and deployment tooling across environments using Kubernetes, Helm, Terraform or Pulumi, and GitOps practices.

Build for Reliability

Design systems that support secure multi-tenant operation, reliable service ownership, and clear operational accountability.

Establish Observability

Build observability across the platform using service-level objectives, structured logging, metrics, tracing, and alerting.

Build FinOps Visibility

Develop telemetry that tracks model and compute costs by tenant.

The Anti-Sell

Hands-on software engineering: This is not a cloud-operations or ticket-queue DevOps role. You must be able to write production software and contribute deeply to platform services.

Operational ownership: You will participate in on-call operations and incident response and help build the processes required to operate a production platform.