Forward Deployed AI Engineer

Compensation: $150,000 – $200,000 + competitive equity Clearance Required: SECRET ABOUT THIS ROLE We are seeking a Forward Deployed AI Engineer with approximately 4–6 years of experience to architect and deploy agentic AI systems supporting U.S. Government partners tackling fraud, waste, and abuse — a trillion-dollar challenge. You will work directly with federal agency stakeholders to understand complex mission requirements and translate them into production-ready technical systems. This role combines hands-on software engineering, applied AI development, data analysis, and partner-facing problem solving. You will: Build and deploy agentic AI systems, including RAG pipelines, multi-agent frameworks, and tool-calling agentsEmbed directly with federal agency partners to understand mission needs and convert them into working technical solutionsAnalyze public, proprietary, and restricted government datasets to identify potentially fraudulent contractors and spending activityBuild data pipelines and analytical workflows that help prevent future improper or fraudulent spendingOwn projects from initial requirements gathering through architecture, development, deployment, and iterationIntegrate large language models with databases, APIs, analytical tools, and government systemsPresent technical concepts and system capabilities to both technical and nontechnical stakeholdersTravel locally to government facilities throughout Washington, D.C., including the Pentagon and federal agency offices This is a full-time position based in McLean, Virginia, requiring five days per week on-site. Local travel throughout the Washington, D.C. area is required, but the role does not involve regular cross-state or overnight travel.

REQUIREMENTS: Approximately 4–6 years of relevant experience across software engineering, applied AI, machine learning, or AI researchStrong Python engineering skills with demonstrated end-to-end delivery experienceExperience building and deploying agentic AI or large language model systems into productionHands-on experience with RAG pipelines, multi-agent frameworks, tool-calling agents, or related LLM orchestration technologiesExperience building data pipelines and working with large, complex, or fragmented datasets A combination of software engineering and AI/ML experience rather than a purely traditional software engineering backgroundExperience working directly with customers, government stakeholders, operators, or other external partnersExperience at a government-facing, defense technology, or national security technology company is strongly preferredStartup experience or another clear record of independently owning and delivering technical projects is preferredExperience with distributed systems, machine learning infrastructure, or reinforcement learning is a plusBachelor's degree in computer science, machine learning, engineering, or a related technical field is preferred, although demonstrated technical depth is more important than a specific degreeMust be willing to work on-site five days per week in McLean, VirginiaMust be willing to travel locally to federal agency and government sites throughout Washington, D.C.

HOW TO APPLY: If you're passionate about building agentic AI systems that solve real mission-critical challenges for the federal government, we'd love to connect. Apply online today! Email agary@fuzehr.com for immediate consideration or Call/Text: 928-316-0629 Fuze HR is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. #ISWI