Senior Software Engineer, Forward Deployed; U.S. Public Sector
Listed on 2026-03-12
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IT/Tech
AI Engineer
About Invisible
Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.
Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.
The Role
As a Senior 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.
- 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
- Active U.S. Department of Defense Secret clearance or higher
- 5+ years of software engineering experience, including work on data‑intensive, ML, or backend systems
- Python & ML/LLM frameworks:
Hands‑on experience with Python and modern ML/LLM tooling (e.g., Hugging Face, Lang Chain, 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 - Experience leading requirements‑gathering activities and translating stakeholder input into technical specifications
- Ability to work on‑site 2–3 days per week at offices located in the greater Washington, D.C. and Reston, VA area
Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. For this position, the annual salary ranges by location are:
Tier 2 Salary Range: $164,000 - $240,000 USD. You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is…
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