AI Agent Engineer: Multi-Cloud Infra Architect

Orbis Operations; McLean (VA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Orbis Operations 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, across GCP, Cloudflare, and Azure.

Qualifications

• Experience translating user needs into actionable AI agent workflows.
• Hands-on with prompt engineering, RAG, and tool calling.
• Ability to design and explain multi-agent architectures to stakeholders.

Responsibilities

• Design, build, and operate multi-agent AI workflows in production.
• Own cloud footprint and infrastructure as code across GCP, AWS, Azure, and Cloudflare.
• Monitor performance, cost, and security; iterate to improve reliability.

Skills

Multi-agent workflows

Prompt engineering

Cloud platforms (GCP/AWS/Azure)

Explain complex systems

APIs & scripting basics

Tools

Claude

LangChain

GPT/LLM tools

Job description

Orbis Operations 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, across GCP, Cloudflare, and Azure.