Head of Engineering, Enterprise AI

Turing • New York, NY

3d

About The Position

The Head of Engineering, Enterprise AI will lead Turing’s Enterprise AI Platform technical team. The SDK shipped in late 2025, and the control plane has existed since early 2026; the platform is being hardened for its first tenants in Q1 2027. The role will grow the team into a platform organization of eight to ten and establish clear areas of responsibility with the Chief AI Architect, who owns client-facing architecture and the evaluation agenda.

The role’s initial priorities are to publish a hardening backlog with clear exit criteria during the first 90 days and ensure four Q4 engineers are hired or in the offer stage. For Q1 2027, the goals are to release the control plane as a no-fee trial to first tenants and complete tenant onboarding in under four weeks.

Within the first year, deliver a model-agnostic, multi-tenant control plane featuring an agent builder, model gateway, evaluations, FinOps, observability, guardrails, RBAC, and connectors, deployable in client cloud and sovereign environments. Secure at least one client use case with a measured evaluation and a trained model that beats frontier baselines. Maintain weekly roadmap reviews with the President and Chief AI Architect, using engagement leads as the voice of the client.

Requirements

• 15+ years in software engineering.
• At least 5 years leading platform or infrastructure teams that shipped multi-tenant enterprise software.
• Proven platform architecture experience with multi-tenant enterprise software and self-hosted deployments.
• Hands-on expertise with LLM systems, including orchestration, evaluation, serving, and fine-tuning.
• Must have personally written production code in the last two years.
• Demonstrated success taking a platform from an internal tool to an externally licensed product.
• Proven track record of hiring quickly at a high bar and running a team of 8 to 15 people.
• Deep knowledge of enterprise security, identity, and hosting with regulated customers, including work under a bank or regulator’s security review.

Nice To Haves

• Experience building or scaling a platform inside a services or forward-deployed organization.
• Financial services background.

Responsibilities

• Lead the Turing Enterprise AI Platform technical team and build it into a platform organization of eight to ten.
• Publish a platform hardening backlog with clear exit criteria within the first 90 days.
• Ensure four Q4 engineers are hired or in the offer stage.
• Release the control plane as a no-fee trial to first tenants in Q1 2027.
• Ensure tenant onboarding is completed in under four weeks.
• 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.
• Secure at least one client use case with a measured evaluation and a trained model that beats frontier baselines.
• Conduct weekly roadmap reviews with the President and Chief AI Architect, using engagement leads as the voice of the client.
• Establish clear areas of responsibility with the Chief AI Architect, who owns client-facing architecture and the evaluation agenda.

Benefits

• Opportunity to work at the frontier of AI and help leading AI labs improve their models through expert datasets, reinforcement learning environments, and benchmarks.
• Opportunity to contribute to AI research and showcase work at conferences such as ICLR, ICML, and NeurIPS.
• Opportunity to bring frontier AI innovation to enterprise business challenges.
• Collaboration with colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
• Work at startup pace with speed, ownership, and impact.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed