Forward-Deployed Engineer

Let’s be real: AI isn’t magic. Legion was built to slice through hype and deliver secure, dependable agentic systems that work alongside the people tackling the world’s most critical challenges. Born from a DoW partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems—unlocking data, accelerating human workflows, and hardening mission-critical operations.

From the forward edge to Fortune 500 back offices, our agentic platform drops AI into the software people already use, optimizing, not replacing, workflows. With world-class collaborators like NVIDIA, HPE, Palantir, and Oracle, we’re building infrastructure that boosts human capability everywhere it runs.

We’re looking for bold thinkers and doers to join us in shaping an AI future that’s secure, grounded, and built to work.

We’re looking for a forward-deployed engineer to work directly with customers to design and build custom workflows on top of our agentic AI platform.

This is not a traditional product or platform engineering role. You will sit with end users, understand mission needs, and rapidly develop “app packs” and workflows that solve real operational problems. You’ll operate as both a builder and a translator—turning ambiguous requirements into working systems. You’ll have a finger on the pulse of our end users, transforming requests and requirements into truly transformative agentic AI solutions that revolutionize user workflows.

You will spend the majority of your time (80–100%) embedded with customers, working independently in classified or constrained environments. Success in this role requires autonomy, strong communication, and the ability to ship practical solutions quickly.

You’ll also act as a feedback loop into product and engineering—surfacing patterns, feature gaps, and opportunities to improve the core platform.

Due to Government contract requirements, we are only able to hire US citizens or Green Card holders.

• →Embed with customer teams to understand mission workflows, pain points, and operational constraints
• →Design and build custom applications and workflows (“app packs”) on top of the platform
• →Rapidly prototype and iterate on agentic AI solutions in real-world environments
• →Translate non-technical user needs into technical implementations
• →Operate independently in forward-deployed environments with minimal oversight
• →Gather and synthesize product feedback, feature requests, and usage insights
• →Collaborate with product engineering and agentic solution teams to influence roadmap and capabilities
• →Integrate with enterprise systems (data platforms, ticketing systems, collaboration tools, etc.)
• →Build lightweight UI components and interfaces where needed to support workflows
• →Support deployment, troubleshooting, and ongoing iteration of solutions in the field

• 4+ years of experience in Forward Deployed Engineering, Solution Engineering, or similar customer-facing technical roles
• Experience building and shipping full-stack applications or prototypes in production or near-production environments
• Proficiency in Python, JavaScript/TypeScript, or similar scripting languages
• Experience integrating with enterprise systems (e.g., Microsoft O365, Palantir Foundry, Databricks, ServiceNow, Atlassian)
• Ability to build simple UI/UX using frameworks like Node.js, Next.js, or React
• Proven ability to operate autonomously and solve ambiguous problems
• Strong communication skills with both technical and non-technical stakeholders
• Experience working in classified or restricted environments is a plus

• 4+ years supporting military, intelligence, or defense-related environments
• Familiarity with mission domains such as operations, logistics, intelligence, or C4/IT systems
• Experience working with government or federal customers preferred

• Experience building or deploying AI/ML systems, especially agentic workflows
• Familiarity with tools such as n8n, Palantir Foundry, or other workflow/automation platforms
• Experience evaluating AI system performance and interpreting results
• Exposure to product telemetry, usage analytics, or feedback-driven iteration
• Experience working in early-stage or high-growth startup environments