Director, Engineering, AI

What you'll do

• Set and execute multi-year AI engineering strategy, aligning roadmaps, budgets, staffing, and measurable outcomes.
• Lead the organization’s shift to mission-based teams and AI-assisted development, using engineering metrics to improve accountability and performance.
• Oversee production AI delivery and operations, including retrieval, model integration, evaluation, deployment, monitoring, security, and cost management.

What they ask for

• Bachelor's degree in computer science, information technology, or a related field, or equivalent practical experience.
• 10+ years in software development, including 3+ years leading AI solution development, and 10+ years managing managers and building high-performing engineering teams in an agile environment.
• Experience shipping production-grade LLM applications, RAG, or agent workflows, and depth in AWS, CI/CD, infrastructure as code, and mission-critical systems.
• Experience leading managers, individual contributors, and vendor teams; delivering multi-team strategy; and applying data-driven metrics and AI economics.

Nice to have

• Experience with globally distributed teams, production agentic systems, responsible AI, LLM APIs, search, or MCP.
• Vendor and cost management, career-path development, Python and RESTful API design, AWS certifications, or legal/regulatory domain experience.

Pay

$158,900 USD - $295,100 USD (base salary)

Tools

AWS, CI/CD, infrastructure as code, GitHub Copilot, Cursor, Claude Code, Python, Model Context Protocol (MCP)

AI focus

Leads production AI engineering for legal research, including LLM, RAG, and agent workflows; enables AI-assisted development; and oversees evaluation, responsible-use guardrails, monitoring, and AI cost optimization.