Fitch Group is currently seeking a Cloud AI Platform Architect (Anthropic and OpenAI) to join our Cloud Infrastructure & Platform Engineering team in New York. This is a leadership role within Cloud Infrastructure & Platform Engineering, serving as a subject matter expert in Enterprise AI Deployment. This team owns Core DevOps Tools, Cloud Platform Engineering, Networking, and Reliability Engineering for all Fitch Group businesses. The role is responsible for the enterprise configuration, and operationalization of machine learning and large-language-model platforms, with a primary focus on platforms such as Anthropic (Claude), OpenAI, Databricks, and Snowflake. This role owns how these platforms are securely provisioned, governed, monitored, and scaled across multiple organizations, environments, and use cases. Sitting at the intersection of DevOps, emerging technology, technical operations, and information security, this role ensures that foundation-model platforms are production-ready: highly available, cost-controlled, compliant, and easy for engineering and business teams to consume safely. The role is not focused on building applications or prompts, but on designing and running the underlying AI platforms that everything else depends on. They partner with Core Engineering and Reliability Engineering squads to integrate AI platforms into the larger Cloud ecosystem at Fitch. Enable self-service access for approved teams, with guardrails that prevent misconfiguration or policy violations. Evaluate new capabilities from Anthropic and OpenAI (e.g., advanced agent features, new models, tooling changes) and determine enterprise readiness. Enable safe experimentation with these as well as competing services. Influence vendor roadmap discussions by bringing an enterprise platform perspective. Establish guardrails for cost management and forecasting, working with TechOps and Finance where needed. Partner closely with Information Security and Technology Operations to embed security, privacy, and data controls into AI platform configurations. Implement and enforce: Role-based access and segregation of duties, Data handling and retention controls, Model usage boundaries and red-line capabilities. Support auditability and compliance requirements by ensuring AI usage is logged, traceable, and reviewable. Serve as the technical owner for translating policy into enforceable platform controls. Establish Infrastructure-as-Code and configuration-as-code approaches for AI platform provisioning where possible. Partner with SRE and TechOps teams to ensure platform reliability, scalability, and operational maturity.
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Job Type
Full-time
Career Level
Director
Education Level
No Education Listed