Director, AI Platform

Location: United States · Remote

Market compensation: $200K–$360K annually

Company

hirify.global is a specialist executive search firm focused on leaders who help organizations navigate AI transformation.

What you will do

• Own the design, build, and ongoing operation of AI/ML platform infrastructure, including model serving, experiment tracking, data pipelines, and compute resource management.
• Lead AI operations, MLOps, or platform engineering teams; set technical direction, hiring strategy, and talent development plans.
• Partner with data science, AI engineering, and product teams to identify operational friction and ship platform improvements that accelerate time to production.
• Drive platform standards, best practices, tooling, production SLOs, and observability for AI workloads.
• Manage infrastructure budgets, licensing, cloud spend, vendor relationships, and the platform tool roadmap.
• Collaborate with security, compliance, and IT leadership on governance, data quality, and risk management.

Requirements

• 7+ years of experience in AI/ML operations, MLOps engineering, platform engineering, or a closely related infrastructure discipline.
• At least 3 years in a leadership or senior individual contributor role.
• Experience building or scaling ML infrastructure platforms, model serving systems, or experiment management tooling.
• Hands-on depth with at least one major cloud platform: AWS, GCP, or Azure.
• Experience leading and mentoring engineering teams, hiring talent, and setting technical vision.
• Strong understanding of MLOps patterns, ML lifecycle management, technical communication, and translating business requirements into platform priorities.

Nice to have

• Experience working in ambiguous, early-stage AI initiatives.
• A track record of shipping iteratively and adjusting strategy based on user feedback.

Culture & Benefits

• Future-opportunity network rather than a single currently open role.
• Potential opportunities are focused on organizations scaling AI infrastructure and tooling.
• Roles emphasize bridging platform engineering discipline with AI-specific operational demands.