Principal AI Engineer

AI Productization & Platform Engineering:

• Design and own the playbook for AI productization and governance, defining service patterns, security standards, and production-readiness criteria.
• Build reusable internal tooling, including AI scaffolding, monitoring systems, and data infrastructure designed for widespread adoption.
• Establish robust AI agent governance policies (permissions, code execution controls, system access, human-in-the-loop enforcement).

Developer Experience & Engineering Excellence:

• Champion AI-assisted development practices, test-driven development (TDD), and modern software engineering standards across the organization.
• Codify engineering baselines (CI/CD, DevOps, testing, delivery quality) for new and re-platformed products.
• Mentor engineers and tech leads, driving measurable improvements in design quality, consistency, and production rigor.

Cross-Functional Leadership & Strategy:

• Act as the primary technical authority on AI/ML, platform architecture, and modern engineering practices.
• Bridge the gap between technical and non-technical stakeholders, translating complex architectural decisions, AI risk topics, and platform trade-offs into actionable executive guidance.
• Partner with Security, Legal, and Compliance teams to define SOC2/ISO-aligned AI controls, vendor requirements, and data classification policies.