Staff Software Engineer, Forward Deployed (U.S. Public Sector)
About The Position
As a Forward Deployed Engineer (FDE) for our U.S. Public Sector team at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won’t just build and deploy — you’ll drive the strategy, architecture, and execution of end-to-end systems, working directly with client stakeholders and our internal delivery teams. This is a hybrid role: equal parts AI architect, hands-on engineer, and technical advisor. You’ll work on the front lines with ambitious clients, turning operational challenges into scalable AI workflows. You’ll be trusted to lead complex engagements, make architectural calls, and mentor others across technical and non-technical domains.
Requirements
- Active U.S. Department of Defense Secret clearance or higher
- 8+ years of software engineering experience, including work on data-intensive, ML, or backend systems
- Experience leading requirements-gathering activities and translating stakeholder input into technical specifications
- Python & ML/LLM frameworks: Hands-on experience with Python and modern ML/LLM tooling (e.g., Hugging Face, LangChain, OpenAI, Pinecone)
- Deployment & infrastructure: Experience building and operating API-based services using Docker, FastAPI, Kubernetes, and major cloud platforms (AWS, GCP)
- Platform & data management: Familiarity with workflow orchestration, pub/sub systems (e.g., Kafka), schema governance, data contracts, Unity Catalog, Delta/ETL pipelines, and replay processes
- Ability to work on-site 2–3 days per week at offices located in the greater Washington, D.C. and Reston, VA area
Responsibilities
- Scope, design, and lead implementation of AI-driven solutions in partnership with delivery teams and executive stakeholders
- Translate ambiguous workflows and business needs into repeatable systems and production-ready technical architectures
- Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
- Build usable systems from messy data and incomplete or evolving requirements
- Apply AI/ML solutions in highly regulated environments (e.g., defense, intelligence, healthcare, finance)
- Own projects end-to-end—from initial discovery and scoping through implementation, deployment, and post-launch iteration
- Build shared infrastructure, reusable components, and internal playbooks to improve delivery consistency and team velocity
- Mentor mid-level engineers and contribute to the development of forward-deployed AI engineering practices at Invisible
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
251-500 employees
