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 40% may be required depending on the engagement.

In this role you will:

• Build data connectors, ingestion and ETL pipelines, and integrations between customer warehouses, internal APIs and AI platforms

Design data models and representations that make enterprise data usable by agents and retrieval systems

Own reliability, provenance, lineage and access controls on data flows

Work inside customer data environments, including messy, legacy and partially documented systems

You may be a good fit if:

Deep data-engineering experience: pipelines, warehousing, APIs — Python and SQL, Spark/PySpark a plus

Hands-on with cloud data platforms on AWS, Azure or GCP

Delivered in customer data environments under real security and access constraints

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).