VP, AI Platform

What you'll do

• Set AI Platform strategy and build core infrastructure, including the LLM gateway, agent framework, libraries, and evaluation systems.
• Lead developer experience and the Velocity program, including AI coding tools, testing and autonomy frameworks, and delivery-cycle measurement.
• Build and scale shared AI data, automation, observability, security, and cost-control capabilities; partner with executive peers on the enterprise AI roadmap.

What they ask for

• 15+ years in software or platform engineering, including 5+ years leading engineering teams or organizations and 8+ years building platforms or infrastructure other teams depend on.
• 3+ years hands-on with production AI/ML, including direct work with LLMs, agents, and evaluation.
• Experience building and operating shared platforms at scale, making architecture and build-versus-buy decisions, and personally architecting and shipping core platform services.
• Executive cross-functional leadership, senior engineering talent development, and sound security, privacy, and responsible AI judgment.

Pay

$336,000 — $400,000 USD (base salary)

Tools

LLM gateway, agent framework, prompt and agent libraries, evaluation infrastructure, AI harness, coding agents, RAG infrastructure, APIs

AI focus

Founding leadership of an internal AI platform: production LLM and agent infrastructure, evaluation, AI-assisted software delivery and autonomy, retrieval and context pipelines, product-operations software, and platform AI security, observability, and cost controls.