Forward Deployed Engineer / Customer Solutions Engineer / Applications Engineer - Norfolk, VA This position requires a US Department of Defense or Intelligence TS/SCI clearance. 80-100% embedded with ...
Forward Deployed Engineer / Customer Solutions Engineer / Applications Engineer - Norfolk, VA This position requires a US Department of Defense or Intelligence TS/SCI clearance. 80-100% embedded with ...
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Forward Deployed Engineer / Customer Solutions Engineer / Applications Engineer (D.C.) This position requires a US Department of Defense or Intelligence TS/SCI clearance. 80-100% embedded with ...
Forward Deployed Engineer / Customer Solutions Engineer / Applications Engineer (D.C.) This position requires a US Department of Defense or Intelligence TS/SCI clearance. 80-100% embedded with ...
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Deployed information
What are some common challenges faced by professionals in deployed roles, and how can they be effectively managed?
What does 'deployed' mean in a job context?
What are the key skills and qualifications needed to thrive as a Deployed Operations Specialist, and why are they important?
What is the difference between Deployed vs Software Developer?
| Aspect | Deployed | Software Developer |
|---|---|---|
| Credentials | Typically requires programming knowledge, deployment tools, and sometimes certifications like AWS or Azure | Requires programming skills, computer science degree, and certifications like Microsoft or Oracle |
| Work Environment | Involves deploying applications in live environments, often collaborating with IT and operations teams | Focuses on coding, designing, and developing software applications in office or remote settings |
| Industry Usage | Common in IT, cloud services, and software companies during deployment phases | Used across tech, finance, healthcare, and other industries for software creation |
Deployed professionals focus on releasing and managing software in live environments, requiring deployment skills and operational knowledge. Software Developers primarily create and develop software applications, emphasizing coding and design. Both roles are essential in the software lifecycle but differ in their core responsibilities and work settings.

Other
Posted 18 days ago
Key responsibilities
Embed with customer teams to understand mission workflows, pain points, and operational constraints.
Design and build custom applications and workflows on top of the platform to solve operational problems.
Gather and synthesize product feedback, feature requests, and usage insights to influence product improvements.
Job description
80-100% embedded with customers, working independently in classified or constrained environments
Due to Government contract requirements, we are only able to hire US citizens or Green Card holders.
The Role: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
Due to Government contract requirements, we are only able to hire US citizens or Green Card holders.This position requires a US Department of War or Intelligence TS/SCI clearance.
Domain Experience:- 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
This role sits at the edge of product and reality. You won't be building features that may or may not get used-you'll be building systems that are immediately deployed and tested in the field.
If you want to work close to the mission, own outcomes end-to-end, and have a direct hand in shaping both product and customer success, this is the role.