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Forward Deployed Ai Engineer Jobs in Springfield, VA

Exiger

Senior Forward Deployed Engineer

Mclean, VA · Hybrid

$105K - $145K/yr

Forward Deployed AI Engineers work directly with government and defense customers to understand ... their most complex operational challenges and design and implement AI-driven solutions to solve ...

Exiger

Senior Forward Deployed Engineer

Mclean, VA · On-site

$105K - $145K/yr

Our AI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging ... Senior Forward Deployed Engineer Location: McLean, Virginia Work Environment: Hybrid Role Summary:

Neuroscale AI

Forward Deployed Engineer

Reston, VA · On-site

About Neuroscale Neuroscale is building the AI recruiting operating system , one unified platform ... We're now hiring a Forward Deployed Engineer to help accelerate adoption of Arbi in both federal ...

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How much do forward deployed ai engineer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for forward deployed ai engineer in Springfield, VA is $56.02, according to ZipRecruiter salary data. Most workers in this role earn between $45.19 and $65.05 per hour, depending on experience, location, and employer.

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Forward Deployed Ai Engineer jobs near you
Infographic showing various Forward Deployed Ai Engineer job openings in Springfield, VA as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $116,519 per year, or $56 per hour.

Forward Deployed AI Engineer

Mclean, VA

Fuze HR Solutions Inc.
51 - 200 employees
Learn more about Fuze HR Solutions Inc.external

Full-time

Re-posted 12 days ago

Job description

Forward Deployed AI Engineer
Location: Washington, DC (McLean, VA – on-site 5 days/week)
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 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

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 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
• A 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, although 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.

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.

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