Embedded AI Solutions Engineer

Yurtsai; Norfolk (VA); On-site; USD 185,000 - 260,000; Full time

Job summary

Legion is seeking a forward‑deployed engineer to sit with customers and design custom workflows on top of our agentic AI platform. You’ll understand mission needs, rapidly develop app packs, and act as both builder and translator in real‑world environments.

You will spend 80–100% embedded with customers in classified environments, shipping practical solutions quickly while surfacing patterns to improve the core platform. Strong communication is essential.

Qualifications

• 4+ years in Forward Deployed Engineering or similar customer-facing roles.
• Experience building and shipping full-stack apps in production.
• Proficiency in Python, JavaScript/TypeScript.
• Experience integrating with enterprise systems (O365, Palantir Foundry, Databricks, ServiceNow, Atlassian).
• Ability to build simple UI/UX with Node.js/Next.js/React.
• Able to work autonomously and solve ambiguous problems.
• Strong communication with technical and non-technical stakeholders.
• Experience in classified/restricted environments is a plus.

Responsibilities

• Embed with customer teams to understand mission workflows and constraints.
• Design and build custom apps/workflows on the platform.
• Prototype and iterate AI solutions in real environments.
• Translate user needs into technical implementations.
• Operate independently in constrained environments with minimal oversight.
• Gather product feedback and feed it to engineering.
• Collaborate with product/engineering to influence roadmap.
• Integrate with enterprise systems and build lightweight UI components.
• Support deployment, troubleshooting, and iteration in the field.

Skills

Python

JavaScript/TypeScript

UI/UX

Autonomy

Communication

Tools

Node.js

Next.js

React

Microsoft O365

Palantir Foundry

Databricks

ServiceNow

Atlassian

n8n

Job description

Legion is seeking a forward‑deployed engineer to sit with customers and design custom workflows on top of our agentic AI platform. You’ll understand mission needs, rapidly develop app packs, and act as both builder and translator in real‑world environments.

You will spend 80–100% embedded with customers in classified environments, shipping practical solutions quickly while surfacing patterns to improve the core platform. Strong communication is essential.