# Principal AI Engineer at Phizenix

> Define and own AI engineering standards, governance, and reusable platform tooling across the firm's product portfolio.

- Company: Phizenix (phizenix.com)
- Location: Midtown Manhattan, New York City
- Places: Midtown Manhattan, United States
- Posted: 2026-09-11
- Level: Principal
- Team: AI engineering
- Work mode: Hybrid
- Apply: https://job-boards.greenhouse.io/phizenix/jobs/5422041008
- Page: https://ye.saranatour.dev/jobs/principal-ai-engineer-phizenix-kn7dq4msmftgebdb408hwk8n358hn7dg

## The posting

Principal AI Engineer
Phizenix · Midtown Manhattan, New York City

**Job description**

At \<our consulting company>, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. We hold ourselves accountable by providing space for authenticity, growth, and equity for everyone.

\<Our consulting company> has embraced a hybrid work model to provide flexibility and support work-life integration. Travel is part of this position, but frequency may vary based on client, team, and individual circumstances. Relocation assistance is not available for this position.

**About the Role**

The Principal AI Engineer sits at the intersection of software engineering, data science, platform architecture, and AI governance. You will be the technical owner of how AI/ML engineering is designed, built, governed, and shipped across a portfolio of products serving all of \<our consulting company> domains.

This is a hands-on engineering and technical leadership position. You will move fluidly between writing production code, architecting multi-tenant AI services, building internal developer tooling, leading security and governance design, and mentoring engineering teams. Your success is measured by team-level outcomes — scalable patterns that outlast your direct involvement.

**What You'll Do**

**AI Productization & Platform Engineering**

- **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.

**Developer Experience & Engineering Excellence**

- **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.

**Cross-Functional Leadership & Stakeholder Influence**

- **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.

**What You'll Need**

**Required**

- 15+ years in software engineering, data science, or a closely related technical field.
- Bachelor's degree or higher in