Federal Government Engineer Jobs

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Today

Forward Deployed AI Engineer

Fuze HR Solutions Inc. McLean, VA

McLean, VA

Today

$150k - $200k/yr Full time Agentic Ai Orchestration AI Artificial Intelligence

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Job Description

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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