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Clould AI Platform Architect, Director

Job in New York, New York County, New York, 10261, USA
Listing for: Fitch Group
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Information Security & Data Protection, SRE/Site Reliability, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 200000 - 220000 USD Yearly USD 200000.00 220000.00 YEAR
Job Description & How to Apply Below
Clould AI Platform Architect, Director

Requisition

Business Unit:
Fitch Group

Category:
Information Technology

Location:

New York, NY, US

Date Posted:
Oct 6, 2026

Fitch Group is currently seeking a Cloud AI Platform Architect (Anthropic and OpenAI) to join our Cloud Infrastructure & Platform Engineering team in New York

As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics.

With dual headquarters in London and New York, Fitch Group is owned by Hearst.

At Fitch Group, the combined power of our global perspectives is what differentiates us. It is the strength of our business. It comes from people around the world in a shared pursuit: to equal something greater than they could ever accomplish alone. Every team member is essential to our business and every perspective is critical for our success. Develop yourself in a culture that values flexibility, expects your opinion and trusts your decisions.

Together we evolve and so will you, in an environment that asks you to challenge yourself & us.

About the Team

This is a leadership role within Cloud Infrastructure & Platform Engineering , serving as subject matter expert in Enterprise AI Deployment. This team owns Core Dev Ops 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 .

How You'll Make an Impact:

Sitting at the intersection of Dev Ops, 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 Tech Ops 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…

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