Head of Engineering, Enterprise AI

Location: New York, New York, United States

Company

hirify.global works with frontier AI labs and Fortune 500 enterprises to create datasets, reinforcement learning environments, research benchmarks, and end-to-end agentic AI systems for mission-critical workflows.

What you will do

• Lead the hirify.global Enterprise AI Platform technical team and grow it into a platform organization of eight to ten people.
• Publish the platform-hardening backlog with clear exit criteria and ensure four Q4 engineers are hired or in the offer stage during the first 90 days.
• Release the control plane as a no-fee trial for first tenants in Q1 2027 and reduce tenant onboarding to under four weeks.
• Deliver a model-agnostic, multi-tenant control plane with an agent builder, model gateway, evaluations, FinOps, observability, guardrails, RBAC, and connectors.
• Make the platform deployable in client cloud and sovereign environments, secure at least one client use case with a measured evaluation, and deliver a trained model that beats frontier baselines.
• Run weekly roadmap reviews with the President and Chief AI Architect, using engagement leads as the client voice.

Requirements

• 15+ years of software engineering experience, including at least 5 years leading platform or infrastructure teams that shipped multi-tenant enterprise software.
• Platform architecture experience for multi-tenant enterprise software and self-hosted deployments.
• Hands-on expertise with LLM systems, including orchestration, evaluation, serving, and fine-tuning.
• Production coding experience within the last two years.
• Demonstrated success taking a platform from an internal tool to an externally licensed product.
• Experience 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 have

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

Culture & Benefits

• Client-first culture focused on measurable client success.
• Startup-speed environment emphasizing agility, action, ownership, and impact.
• Opportunity to work on frontier AI datasets, reinforcement learning environments, benchmarks, and enterprise AI deployments.
• Opportunity to contribute to leading-edge AI research and showcase work at ICLR, ICML, and NeurIPS.
• Collaboration with colleagues experienced at Google, Meta, Amazon, and other technology companies.