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Forward Deployed Engineer; LLM​/Field CTO​/Systems Integration​/Defense

Job in Austin, Travis County, Texas, 73301, USA
Listing for: Attis
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Systems Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 170000 - 200000 USD Yearly USD 170000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Forward Deployed Engineer (LLM/Field CTO/Systems Integration/Defense)
Forward Deployed Engineer (Field CTO / Defense Systems Integration), Remote US with travel, Between $ base + equity

Forward Deployed Engineer sought for a well-funded, highly successful defense AI scaleup who bring state of the art AI to the tactical edge. They are a talented team of engineers and researchers who bridge the gap between core R&D and mission-critical customer deployments.

The company is developing advanced AI systems that can operate directly at the edge, bringing high-performance AI into demanding real-world environments without relying on constant cloud connectivity. 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.

We are looking for Forward Deployed Engineers who thrive at the intersection of production software engineering, secure edge integration, and customer-facing delivery. Bonus points if you've worked within a relevant defense AI, aerospace, edge AI, or airgapped operational environment.

The ideal candidates will have experience performing experimentation and deployment within one or more of the following areas:
  • 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.
Clearance Requirement:

Due to federal security standards, candidates must be U.S. Citizens with eligibility for TS/SCI security clearance.

Key Skills

Forward Deployed Engineering, FDE, Field Engineering, Edge AI, Software Engineering, Systems Integration, Kubernetes, Docker, Helm, Containerization, Iron Bank, Platform One, Impact Levels, IL4, IL5, IL6, DoD RMF, Risk Management Framework, Tactical Edge, Offline Software, GPU Acceleration, NVIDIA Container Toolkit, GPU Operator, Agentic Workflows, LLM Deployment, Cross Domain Solutions, IdAM, SIEM, Field CTO, Defense Tech, Government IT, Customer Engineering

Disclaimer:

Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment.

M/F/D/V.

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