Forward Deployed AI Engineer

Fuze HR Solutions Inc. is hiring a Forward Deployed AI Engineer for an on-site role in McLean, VA (5 days/week). In this position, you will architect and deploy agentic AI systems for U.S. Government partners, translating mission requirements into production-ready solutions while working closely with federal agency stakeholders.

Role focus

This forward-deployed engagement supports government efforts to address fraud, waste, and abuse. You will analyze public, proprietary, and restricted government datasets, build the data and analytical workflows to reduce improper spending, and integrate large language models with the tools and systems used by agency partners.

Responsibilities

• Build and deploy agentic AI systems, including RAG pipelines, multi-agent frameworks, and tool-calling agents
• Embed directly with federal agency partners to understand mission needs and convert them into working technical solutions
• Analyze public, proprietary, and restricted government datasets to identify potentially fraudulent contractors and spending activity
• Build data pipelines and analytical workflows that help prevent future improper or fraudulent spending
• Own projects from initial requirements gathering through architecture, development, deployment, and iteration
• Integrate large language models with databases, APIs, analytical tools, and government systems
• Present technical concepts and system capabilities to both technical and nontechnical stakeholders
• Travel locally to government facilities throughout Washington, D.C., including the Pentagon and federal agency offices

Requirements

• Approximately 4–6 years of relevant experience across software engineering, applied AI, machine learning, or AI research
• Strong Python engineering skills with demonstrated end-to-end delivery experience
• Experience building and deploying agentic AI or large language model systems into production
• Hands-on experience with RAG pipelines, multi-agent frameworks, tool-calling agents, or related LLM orchestration technologies
• Experience building data pipelines and working with large, complex, or fragmented datasets
• Combination of software engineering and AI/ML experience rather than a purely traditional software engineering background
• Experience working directly with customers, government stakeholders, operators, or other external partners
• Experience at a government-facing, defense technology, or national security technology company is strongly preferred
• Startup experience or another clear record of independently owning and delivering technical projects is preferred
• Experience with distributed systems, machine learning infrastructure, or reinforcement learning is a plus
• Bachelor's degree in computer science, machine learning, engineering, or a related technical field is preferred, though demonstrated technical depth is more important than a specific degree
• Must be willing to work on-site five days per week in McLean, Virginia
• Must be willing to travel locally to federal agency and government sites throughout Washington, D.C.

Technologies

• Python
• RAG pipelines
• Multi-agent frameworks
• Tool-calling agents
• Large language models
• LLM orchestration technologies

Location and compensation

• Location: Washington, DC (McLean, VA – on-site 5 days/week)
• Salary: USD 150,000 – 200,000 per year
• Compensation: $150,000 – $200,000 + competitive equity

Clearance required

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