--- title: "Principal AI Engineer" company: "Phizenix" company_url: "https://www.remjobs.works/companies/phizenix" url: "https://www.remjobs.works/job/phizenix-principal-ai-engineer-be75c00b-ec4d-4f41-a5f2-4e235f711edf" apply_url: "https://job-boards.greenhouse.io/phizenix/jobs/5422041008" workplace: onsite location: "Midtown Manhattan, New York City" employment_type: unspecified seniority: principal role: ai-machine-learning region: united-states skills: ["aws", "azure", "docker", "gcp", "llm", "python", "terraform", "typescript"] salary: "₹80–₹100 per hour" date_posted: 2026-09-11T16:30:31.000Z first_seen_by_remjobs: 2026-09-19T22:06:33.042Z --- # Principal AI Engineer **Phizenix** · Midtown Manhattan, New York City Salary: ₹80–₹100 per hour Apply: https://job-boards.greenhouse.io/phizenix/jobs/5422041008 ## About Phizenix Phizenix B2B AI Consulting Landing Page Featuring Solutions, Services, Team, And Contact For Business Leaders Seeking AI-driven Transformation. ## About the role **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 --- Source: Phizenix's own career page, read by RemJobs. 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