Head of Engineering, Enterprise AI

Turing|19 Oct 2026

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Listed location: New York, New York, United States

Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.

Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.

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Job Description

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.

About the role:

Your mission is to lead the Turing 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 first tenants in Q1 2027. You will build the team into a platform organization of eight to ten, and set the seams with the Chief AI Architect, who owns client-facing architecture and the evaluation agenda.

Role responsibilities

First 90 days: Publish the hardening backlog with clear exit criteria; ensure four Q4 engineers are hired or in offer stage.
Q1 2027 Goals: Release the control plane as a no-fee trial to first tenants; ensure tenant onboarding is completed in under four weeks.
First Year Deliverables: 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 eval and a trained model beating frontier baselines.
Ongoing Alignment: Conduct weekly roadmap reviews with the President and Chief AI Architect, utilizing engagement leads as the voice of the client.

Required skills & Qualifications

Platform architecture for multi-tenant enterprise software and self-hosted deployment
Hands-on with LLM systems: orchestration, evaluation, serving, fine-tuning
Hiring quickly at a high bar; running a team of eight to fifteen
Enterprise security, identity and hosting with regulated customers

Qualification criteria

15+ years in software engineering, with at least 5 years leading platform or infrastructure teams that shipped multi-tenant enterprise software.
Proven experience in platform architecture for 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 in 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 (must have worked under a bank or regulator's security review).

Nice to have

Experience building or scaling a platform inside a services or forward-deployed organization; financial services background.

You may not be a fit if:

You've been in a pure management track for 5+ years
You possess a solely consumer or solely services background
You do not have experience working under a bank or regulator's security review

Values

We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.

Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

Skills mentioned

LLMReinforcement Learning

Frequently asked questions

Is the Head of Engineering, Enterprise AI position at Turing remote?

The Head of Engineering, Enterprise AI role at Turing does not have a confirmed remote arrangement in our data. Check the employer description for its work location.