Forward Deployed Engineer (DoD/Field CTO/Systems Integration/Defense)

Attis is recruiting for an unnamed defense AI company developing systems for tactical-edge environments. The Forward Deployed Engineer serves as a field CTO for customer engagements, prototyping and integrating software on endpoints, embedded hardware, and secure government networks.

Responsibilities:

• As a Forward Deployed Engineer, you will serve as a field "CTO" for key customer engagements, owning the prototyping, packaging, and integration of software solutions directly onto endpoints, embedded hardware, and secure government networks
• Designing, shipping, and maintaining robust desktop software or container-based production applications
• Deploying microservices and containerized environments (Docker, Kubernetes, Helm) into secure, air-gapped, or classified government ecosystems
• Deploying AI/ML capabilities onto local endpoints, field hardware, or disconnected tactical edge environments
• Configuring GPU infrastructure for containerized workloads (e.g., CUDA/NVIDIA tooling or operators)
• Practical integration and serving of Large Language Models (LLM) and multi-agent systems into production workflows
• Navigating federal compliance frameworks (e.g., DoD RMF) and interfacing with enterprise defense IT, identity management, or cross-domain security architectures
• Collaborating directly with mission end-users, government program offices, and technical leaders to gather feedback, define system architectures, and run field validation

Requirements:

• Designing, shipping, and maintaining robust desktop software or container-based production applications
• Deploying microservices and containerized environments (Docker, Kubernetes, Helm) into secure, air-gapped, or classified government ecosystems
• Deploying AI/ML capabilities onto local endpoints, field hardware, or disconnected tactical edge environments
• Configuring GPU infrastructure for containerized workloads (e.g., CUDA/NVIDIA tooling or operators)
• Practical integration and serving of Large Language Models (LLM) and multi-agent systems into production workflows
• Navigating federal compliance frameworks (e.g., DoD RMF) and interfacing with enterprise defense IT, identity management, or cross-domain security architectures
• Collaborating directly with mission end-users, government program offices, and technical leaders to gather feedback, define system architectures, and run field validation
• candidates must be U.S. Citizens with eligibility for TS/SCI security clearance
• Bonus points if you've worked within a relevant defense AI, aerospace, edge AI, or airgapped operational environment