AI Agent Engineer, Cloud Infrastructure

Company Overview

Orbis Operations is a technology company that delivers sovereign intelligence and decision capabilities to the United States Government and its allies. We convert complex information and operational systems into decisive outcomes, giving public institutions and critical enterprises the tools to move faster, see clearer, and act first in an increasingly contested world.

We are not a consulting firm and not a systems integrator. Every Orbis team is built around practitioners who have operated at the mission edge, and every engagement is judged on one thing: whether it produces working capability, not slide decks. Solutions forged from experience, that is how we build, and it is how we hire.

Job Summary

Orbis is building the agentic AI capability its mission support operations run on, and the AI Agent Engineer builds and operates it. Sixty percent of this role is common to every AI Agent Engineer at Orbis: designing, building, and deploying the multi-agent workflows behind triage, data retrieval, summarization, reporting, and escalation routing. The remaining forty percent is this role's focus — the cloud platform those workflows run on. This engineer owns the footprint across GCP, Cloudflare, and Azure, manages it as code, and holds its networking, security posture, and run cost to a standard that survives scrutiny as volume grows.

Travel: Occasional (up to 10%) to McLean, VA or team offsites as needed

Key Responsibilities — Common Core (60% of the Role)

Every AI Agent Engineer at Orbis, regardless of focus area, owns the following

• Design, build, and deploy agentic AI workflows. Architect and ship the multi-agent and automated workflows that run in production: triage, data retrieval, summarization, reporting, and escalation routing.
• Translate in both directions. Explain to non-technical stakeholders what the systems do, where they are reliable, and where they are not, in terms those stakeholders can a