Principal AI Engineer

AlixPartners is a firm that addresses complex challenges by transforming analysis into action. The Principal AI Engineer will lead AI/ML engineering efforts, overseeing the design, governance, and deployment of AI services across various products while mentoring engineering teams.

Responsibilities:

• Design and own the firm's AI productization & governance playbook, covering service patterns, security/compliance standards, model evaluation rubrics, and production-readiness criteria
• Build and maintain reusable internal tooling, including AI service scaffolding, evaluation and monitoring tooling, and data infrastructure — designed for team adoption without ongoing hand-holding
• Establish AI agent governance policies covering agent permissions, code execution controls, access to internal systems, and human-in-the-loop enforcement
• Partner with Security, Legal, and Compliance to define SOC2/ISO-aligned AI controls, vendor DPA requirements, and prompt data classification policies
• Establish standardized deployment patterns using containerization, infrastructure-as-code, and CI/CD pipeline templates reusable across teams
• Champion AI-assisted development practices across the engineering org, including LLM-integrated development workflows, test-driven development patterns, and reusable tooling standards that scale across teams
• Codify modern software development standards (CI/CD, DevOps, testing, delivery quality) referenced by multiple teams as a baseline for new or re-platformed products
• Mentor engineers and tech leads with observable improvement in delivery consistency, design quality, and production readiness rigor
• Serve as the go-to technical authority on AI/ML, platform architecture, and engineering practices — regularly consulted by senior stakeholders at the design and strategy stages
• Bridge technical and non-technical stakeholders, translating complex architectural decisions, AI risk topics, and platform tradeoffs into clear, actionable guidance