Trida AI is expanding its Forward Deployed Engineering bench for upcoming customer engagements. Engineers in this pool are first in line for client deployments as engagements start.

About the role: Trida AI deploys Forward Deployed Engineers inside enterprise customer teams to design, build, and ship production AI systems — agents, retrieval, and data integrations — and to leave behind systems the customer can operate themselves. Success is production adoption and measurable workflow impact, not a demo. Travel to customer sites up to 50% may be required depending on the engagement.

In this role you will:

• Lead end-to-end deployment of AI systems in private-cloud, hybrid and on-prem environments — planning, configuration, testing and rollout

Partner with customer IT on infrastructure, networking, security and data-management requirements

Troubleshoot deployment issues in constrained environments and own operational runbooks

Design for environments where public cloud is not an option

You may be a good fit if:

Production Kubernetes and Helm, DevOps and CI/CD depth

Deep cloud infrastructure (AWS/Azure/GCP), networking and virtualisation

Enterprise security and compliance deployment experience

Must be authorized to work in the US; Trida AI does not provide sponsorship. Trida AI LLC is an equal opportunity employer. We welcome applicants of all backgrounds. If you need an accommodation in the application process, contact careers@trida.ai. Location: Remote — United States (Charlotte, NC base).