Head of Engineering, Enterprise AI
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