Head of Engineering, Enterprise AI
Remote • New York, New York, United States
Posted 13h ago
Job Location
New York, New York, United States
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Infrastructure Engineer
About the job
Turing's mission is to accelerate superintelligence to drive real economic progress. The company works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks. Turing also partners with Fortune 500 enterprises to build and deploy end-to-end agentic AI systems within mission-critical workflows. This role involves leading the Turing Enterprise AI Platform technical team, which is being built out for a late 2025 SDK release and a Q1 2027 tenant onboarding. The goal is to grow the team to eight to ten members and collaborate with the Chief AI Architect on client-facing architecture and evaluation.
Responsibilities
- Publish the hardening backlog with clear exit criteria within the first 90 days.
- Ensure four Q4 engineers are hired or in offer stage within the first 90 days.
- Release the control plane as a no-fee trial to first tenants by Q1 2027.
- Ensure tenant onboarding is completed in under four weeks by Q1 2027.
- Deliver a model-agnostic, multi-tenant control plane with an agent builder, model gateway, evaluations, FinOps, observability, guardrails, RBAC, and connectors, deployable in client cloud and sovereign environments within the first year.
- Secure at least one client use case with a measured evaluation and a trained model beating frontier baselines within the first year.
- Conduct weekly roadmap reviews with the President and Chief AI Architect, utilizing engagement leads as the voice of the client.
Requirements
- Platform architecture experience for multi-tenant enterprise software and self-hosted deployment.
- Hands-on experience with LLM systems, including orchestration, evaluation, serving, and fine-tuning.
- Proven ability to hire quickly at a high bar and manage a team of eight to fifteen.
- Experience with enterprise security, identity, and hosting with regulated customers.
- 15+ years in software engineering, with at least 5 years leading platform or infrastructure teams that shipped multi-tenant enterprise software.
- Must have personally written production code in the last two years.
- Demonstrated success in taking a platform from an internal tool to an externally licensed product.
- Deep knowledge of enterprise security, identity, and hosting with regulated customers, including experience under a bank or regulator's security review.