Head of Engineering, Enterprise AI
Training Superintelligence· Enterprise AI Engineering
New York, NYFull-timePosted 5d ago
About the role
Lead the Turing Enterprise AI Platform technical team to build and scale a multi-tenant, self-hosted platform with an agent builder, model gateway, evaluations, FinOps, observability, guardrails, RBAC, and connectors; work with Chief AI Architect and President to align roadmap and deliver client-focused outcomes.
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.
Qualifications
- 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).
Skills
Required:Platform architecture for multi-tenant enterprise softwareLLM systems orchestrationTeam leadership and hiringEnterprise security, identity and hosting
Benefits
- Competitive compensation structure (base, equity, etc. as described in the role)
- Opportunity to work at the frontier of AI and enterprise deployments
- Collaborative environment with leaders from Google, Meta, Amazon and more
- Startup-speed, high-impact work at scale
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Training Superintelligence
Turing develops large-scale RL environments and data generation systems that train multimodal agents to improve model performance in coding, real-world, economically valuable tasks, and advanced STEM reasoning.
Train AIBuild AIHire AI TalentAI for BFSIEMNAIDatasetsEnterprise Knowledge WorkMultimodal
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