Lead AI Infrastructure Operations Engineer

Department

Information Technology Job Description:

The Lead AI Infrastructure Operations Engineer is responsible for enabling, operating, and continuously improving the infrastructure and operational capabilities required by production AI solutions.

As TMG expands its AI capabilities, AI CoE will develop large language model, retrieval-augmented generation, agent-based, machine-learning, and other AI-enabled use cases. This role will work within the Infrastructure team to help those teams define and coordinate their infrastructure, environment, connectivity, observability, security, capacity, and production-readiness needs.

The engineer in collaboration with other Infrastructure resources will focus on the AI application, platform, and operational layers. TMG’s managed services provider operates the underlying AWS cloud infrastructure. This role will translate AI solution requirements, coordinate infrastructure services and changes, monitor delivery, diagnose issues, and validate that environments meet reliability, security, performance, and operational expectations.

This is a hands-on role that works closely with AI engineering, application development, data, architecture, cybersecurity, infrastructure operations, and external managed-services partners.

Work Arrangement

* Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional in‑office days.

Accountabilities

Enable AI Infrastructure and Environments

• Partner with AI engineering, application, data, security, architecture, and platform teams to understand the infrastructure and operational needs of new AI use cases.
• Translate AI solution designs into requirements for environments, compute, storage, networking, connectivity, identity, security, observability, capacity, and supporting cloud services.
• In Collaboration with other Infrastructure resources an