Associate Director, AI and Agentic Operations

Associate Director AI and Agentic Operations

Location: New York City (Hybrid)

About the Role

Fitch is at an important stage in its AI adoption journey. As AI and Agentic technologies become more embedded in daily workflows, we need to establish the operational foundations that will allow these capabilities to scale responsibly, securely, and effectively.

We are seeking a founding individual contributor to help establish the AI and Agentic Operations capability. In year one, this role will focus on building the program framework, operating model, controls, and foundational processes needed to support AI and agentic AI use cases across the organization. This is not initially a people-management role. Instead, it is a hands-on leadership position for someone who can work across teams, define the function, and put the core capabilities in place.

This role will work closely with the Emerging Technologies, Technology Operations, Information Security, and Collaboration Technologies teams, as well as other relevant stakeholders, to help shape how Fitch monitors, governs, and operationalizes AI solutions in production environments. Over time, as Fitch's use of AI and agentic AI expands, this role has the potential to evolve into leadership of a small specialized team.

The ideal candidate combines strong operational discipline with enough AI fluency to understand how LLM-based applications and agentic workflows behave in production. They can translate ambiguity into processes, controls, and support models, and are comfortable influencing cross-functional stakeholders in a fast-moving environment.

 

What You Will Do

In the first year, you will be responsible for helping define and establish the AI and Agentic Operations program, including its scope, operating model, and foundational capabilities. Key responsibilities include:

• Partner with Emerging Technologies, Technology Operations, Information Security, and Collaboration Technologies to define the initial AI and Agentic Operations framework
• Define and implement the initial operating model for onboarding, supporting, monitoring, and governing AI and agentic solutions in production.
• Identify and document the core capabilities needed for AI operations, including:
• monitoring and observability
• incident response and escalation
• operational governance
• access and control requirements
• usage and cost visibility
• Develop foundational runbooks, standards, procedures, and support models for AI-enabled services
• Partner with engineering and platform teams to define and implement monitoring, tracing, logging, and alerting patterns for AI applications and agentic workflows, including provider health, tool-call reliability, usage anomalies, and failure handling.
• Establish operational governance processes for AI services, including production readiness reviews, control requirements, exception handling, and ongoing service oversight.
• Help define how AI-related incidents, risks, and service issues should be triaged, escalated, and managed
• Establish reporting approaches for system health, operational risk, adoption, and cost transparency
• Contribute to the design of a scalable support model that can evolve as AI adoption increases
• Identify future staffing, tooling, and process needs to support growth of the function
• Provide recommendations to leadership on how the capability should mature over time, including the potential formation of a small dedicated team

 

What Success Looks Like in Year One

By the end of the first year, success in this role would include:

• A clearly defined AI and Agentic Operations operating model
• Foundational processes and controls established for AI and agentic AI services
• Strong working partnerships across Emerging Technologies, Technology Operations, Information Security, and Collaboration Technologies
• Initial observability, incident, and governance requirements documented and socialized
• Runbooks and procedures in place for priority AI-enabled services
• A roadmap