Engineering Manager, AI Model Infrastructure

Harvey, Inc.; San Francisco (CA); On-site; USD 260,000 - 340,000; Full time

Job summary

Harvey is seeking an Engineering Manager for Model Infrastructure to lead the team powering our AI platform. You will collaborate with AI Research, Product Engineering, Infrastructure, and external AI providers to ensure our platform remains reliable, scalable, and cost-efficient as our business grows.

Over time, you will guide the roadmap for provisioning, multi-provider integrations, observability, and training infrastructure, while mentoring engineers and shaping a culture of technical

Qualifications

• 8+ years of software engineering experience, including management of high-performing teams.
• Experience leading large-scale distributed systems or cloud infrastructure.
• Strong technical background enabling guiding architectural decisions and mentoring senior engineers.
• Experience operating highly available production services with reliability and operational excellence.
• Experience building platforms that require scalability, observability, automation, and cost optimization.
• Strong cross-functional leadership across Engineering, Research, Product, and vendors.
• Excellent communication skills and ability to influence technical strategy across organizations.
• A passion for building teams and developing engineering talent.

Responsibilities

• Lead and grow a high-performing software engineering team.
• Define the technical roadmap for reliability, scalability, and operational excellence.
• Build highly reliable systems for model provisioning, capacity management, failover, and incident response across multiple AI providers.
• Own Harvey's multi-provider model platform, including provider integrations, SDK upgrades, API migrations, and onboarding new model providers.
• Drive the evolution of the Unified Model Controller (UMC) and Model Selector to detect degraded models and route traffic by health, latency, quality, compliance, and cost.
• Improve observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end model telemetry.
• Partner with Product Engineering to support new model launches, capacity planning, experimentation, and proactive production monitoring.
• Lead initiatives to improve inference efficiency, reduce infrastructure costs, and increase model utilization across providers.
• Build the infrastructure foundation for Harvey's future model training efforts, including data pipelines and training environments.
• Partner with executive leadership on long-term AI infrastructure strategy and vendor relationships.
• Recruit, mentor, and develop exceptional engineering talent while fostering a culture of technical excellence and operational ownership.

Job description

Harvey is seeking an Engineering Manager for Model Infrastructure to lead the team powering our AI platform. You will collaborate with AI Research, Product Engineering, Infrastructure, and external AI providers to ensure our platform remains reliable, scalable, and cost-efficient as our business grows.

Over time, you will guide the roadmap for provisioning, multi-provider integrations, observability, and training infrastructure, while mentoring engineers and shaping a culture of technical