--- title: 'Principal AI Engineer at Phizenix' canonical: 'https://feeny.ai/job/principal-ai-engineer-phizenix-new-york-rp7tztf0pna3' type: 'job' last_seen: '2026-09-17' --- # Principal AI Engineer at Phizenix - **Company:** Phizenix - **Location:** New York, NY - **Posted:** 2026-09-11 - **Last confirmed live:** 2026-09-17 - **Apply:** https://job-boards.greenhouse.io/phizenix/jobs/5422041008 ## Job description Job description At , 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. 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 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 Computer Science, Engineering, or a related field. - Deep expertise in AI/ML frameworks and the Python ecosystem, with hands-on experience deploying models to public cloud infrastructure. - Demonstrated experience designing and operating multi-tenant AI services and LLM integrations in production. - Proven track record leading microservices architecture — decomposing monoliths, defining service contracts, and operationalizing CI/CD for distributed systems. - Strong hands-on command of containerization (Docker), infrastructure-as-code (Terraform), and modern DevOps practices. - Substantive experience with AI/LLM security — including prompt injection, data boundary enforcement, model supply chain risk, and AI-specific threat modeling. - Strong problem-solving skills, especially in building governance frameworks, evaluation rubrics, and reusable platform patterns at scale. - Excellent written and verbal communication skills in English; ability to translate complex technical topics to diverse audiences, including executive stakeholders. - Experience with Agile methodologies and cross-functional product team collaboration. ## Preferred / Additional Qualifications - Experience applying AI/ML in business consulting, advisory, or professional services contexts. - Familiarity with AI service interface and gateway design patterns, including emerging AI integration protocols. - Contributions to open-source AI/ML projects, publications, or active involvement in technical communities. - Advanced certifications in AI, deep learning, cloud architecture, or security (e.g., AWS/GCP/Azure ML, CISSP). - Experience defining AI compliance controls for SOC2, ISO 27001, or TISAX frameworks. - Demonstrated enthusiasm for developer education — writing internal guides, running workshops, or building internal tooling communities. - Proficiency in additional languages is a plus (Go, Typescript) - Demonstrated ability and enthusiasm to mentor and uplift junior team members or peers - Willingness to work outside of normal business hours, and in particular as unique projects/needs arise. - Ability to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday - Must become familiar with, and promote and abide by, our Core Values as defined by the and foster an inclusive environment with people at all levels of an organization ## About Phizenix ## Company Overview - **One-liner**: Phizenix provides workforce solutions for the AI era, including top tech talent placement, AI strategy & development, and AI workforce training. - **Entity Type**: Private (Pre-Seed / Bootstrapped – no public funding rounds disclosed) - **Headquarters**: Livermore, California, United States - **Founded**: 2025 - **Founders**: Khursheed Irani ## Core Business - **Primary industry**: IT Services and IT Consulting, AI Consulting, Workforce Staffing - **Target customers**: B2B – businesses seeking AI transformation, technical talent, and AI upskilling (mid-market to enterprise) - **Mission or purpose statement**: “We’re a team of tech founders, operators, and builders on a mission to help businesses thrive in an AI-native world. We believe AI should empower people, not replace them.” ## Products & Services - **[Talent Staffing]**: Executive recruiting, permanent hire, contract staffing and management for technical roles (e.g., AI/ML engineers, DevOps, firmware engineers). - **[AI Strategy & Development]**: Consulting to discover automation opportunities, design AI solutions, and build production AI systems. - **[AI Workforce Training]**: Live workshops and online certification programs to increase teams’ AI skills. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company, no funding rounds disclosed) - **Key Metric**: Not disclosed (revenue not public). Employees: 12 as of early 2026. - **Notable Investors/Partners**: No named investors; leadership includes Khursheed Irani (CEO), Raashid Mehasanewala (Head of Solutions), Jumana Ghadiali (VP Operations), Sanjay Dayal (Senior Technology Advisor), Aziz Ghadiali (Head of AI and Marketing). - **Growth Signals**: Headcount growth of +7.7% monthly (LinkedIn estimate); active job postings on Greenhouse (3 open roles as of 2026); LinkedIn follower count 3,587 with +3.9% monthly growth. ## Competitive Advantages - **AI-native focus**: Entire business model centered on AI transformation, not a general staffing firm. - **Silicon Valley presence**: HQ in Livermore, CA, with additional presence in India and Canada, allowing access to diverse talent pools. - **Experienced leadership team**: Founders and VPs bring 20+ years of combined experience in tech, operations, and AI. ## Strategic Focus - **Current priorities**: Expand AI consulting engagements, scale talent staffing pipeline, and grow the training certification arm. Emphasis on “AI-native future of work” – helping companies integrate AI alongside human teams rather than replacing them. ## Why Work Here - **Culture**: Small, mission-driven team focused on AI empowerment. Emphasis on “AI should empower people, not replace them.” - **Remote/Hybrid/Office**: Many roles are remote; some are hybrid in San Francisco/Bay Area (e.g., Director of Engineering – Shopify & ERP). Offices in Livermore, CA and Bengaluru, India. - **Notable perks/engineering culture**: Opportunity to work at the intersection of AI and business transformation; hands-on involvement in building AI solutions for clients; growth potential in a young, rapidly expanding company. ## Sources 1. [phizenix.com](https://www.phizenix.com/) 2. [phizenix.com/careers](https://www.phizenix.com/careers) 3. [phizenix.com/about](https://www.phizenix.com/about) 4. [LinkedIn/Phizenix](https://www.linkedin.com/company/phizenix) 5. [Greenhouse/Phizenix](https://job-boards.greenhouse.io/phizenix/jobs/5197144008) ## Other roles at Phizenix - [Technical Lead, eDiscovery Products](https://feeny.ai/job/technical-lead-ediscovery-products-phizenix-new-york-psf25vd0va2c) — New York, NY - [Technical Program Manager](https://feeny.ai/job/technical-program-manager-phizenix-remote-1ryqz7t9jq9m) - [Principal Full Stack Engineer](https://feeny.ai/job/principal-full-stack-engineer-phizenix-midtown-manhatten-06jw4vr2k6we) — Midtown Manhatten, NY - [Sr. Staff Backend Engineer](https://feeny.ai/job/sr-staff-backend-engineer-phizenix-hyderabad-psrdjq79ha1t) — Hyderabad, India - [LLM / Agentic Evaluation Rig Engineer](https://feeny.ai/job/llm-agentic-evaluation-rig-engineer-phizenix-hyderabad-x3nrtpps5f6d) — Hyderabad, India - [QA Automation Engineer](https://feeny.ai/job/qa-automation-engineer-phizenix-hyderabad-emn3ryp3sk2z) — Hyderabad, India - [Product Manager- Workflows](https://feeny.ai/job/product-manager-workflows-phizenix-remote-kp0tpcrhcbpd) - [Senior Analog & Mixed-Signal IC Designer](https://feeny.ai/job/senior-analog-mixed-signal-ic-designer-phizenix-santa-clara-22hs598ryxs0) — Santa Clara, CA / Irvine, CA - [ASIC Physical Design Engineer](https://feeny.ai/job/asic-physical-design-engineer-phizenix-bengaluru-sd4fja8bp25t) — Bengaluru, India - [Digital Design Lead](https://feeny.ai/job/digital-design-lead-phizenix-santa-clara-gb92mzn0r7vw) — Santa Clara, CA