AI Platform Engineer

AI Platform Engineer Location: New York City (Hybrid) About the Opportunity We're partnering with an innovative organization investing heavily in enterprise AI. As they continue to scale their AI capabilities, they're looking for an experienced AI Platform Engineer to build the core infrastructure, governance, and architectural foundations that will enable secure, scalable AI adoption across the business. This is an opportunity to work on cutting-edge AI technologies while solving complex engineering challenges in a highly collaborative environment. What You'll Be Doing Design and build the AI platform that supports enterprise-wide AI initiatives. Develop secure AI governance, authentication, authorization, and access control frameworks. Create scalable data architectures and semantic layers that enable AI applications to consume data efficiently. Partner with engineering teams to define best practices for AI application architecture. Evaluate and implement modern AI technologies, including LLMs, agent frameworks, and Model Context Protocol (MCP). Build reliable workflow automations that integrate multiple enterprise systems. Drive technical standards and platform capabilities that enable other engineers to build AI solutions safely and effectively. What We're Looking For 8+ years of software engineering experience with recent hands-on experience building production AI systems. Strong background in platform engineering, distributed systems, or backend architecture. Experience working with LLMs, AI agents, RAG, MCP, or modern AI frameworks. Excellent knowledge of Python and cloud-native architectures. Strong understanding of authentication, authorization, security, and platform governance. Experience designing data models, semantic layers, and working with SQL. Proven ability to deliver complex technical projects from design through production. Desired Technologies Python LLMs & Generative AI AI Agents Model Context Protocol (MCP) LangChain / LangGraph Cloud Platforms (AWS, Azure or GCP) Kubernetes & Docker SQL Data Modelling API Design & Microservices CI/CD & Infrastructure as Code Why Apply? Join a team building next-generation AI capabilities from the ground up. Work on highly visible, business-critical AI initiatives. Influence technical strategy and platform architecture. Collaborate with experienced engineers solving challenging problems at scale. Competitive compensation and the opportunity to make a significant impact within a growing AI function. If you're passionate about building scalable AI platforms and enabling production AI across the enterprise, we'd love to hear from you.