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Deployed Jobs in Virginia (NOW HIRING)

micro1 AI

Lead AI Engineer, Forward Deployed

Mclean, VA · On-site +1

$40 - $60/hr

  • Medical

  • Retirement

  • PTO

Forward Deployed Engineer, U.S. Government Job Type: Full-time Location: Hybrid - Washington, D.C. The Role We're hiring an MTS to work on applied AI systems across research and production. This role ...

Deloitte

Lead Forward Deployed Engineer, Snowflake

Rosslyn, VA · On-site

$116K - $153K/yr

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery ...

micro1 AI

Lead AI Engineer, Forward Deployed

Arlington, VA · On-site +1

$40 - $60/hr

  • Medical

  • Retirement

  • PTO

Forward Deployed Engineer, U.S. Government Job Type: Full-time Location: Hybrid - Washington, D.C. The Role We're hiring an MTS to work on applied AI systems across research and production. This role ...

Deloitte

Forward Deployed Engineer- AWS

Richmond, VA · On-site

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery ...

Deloitte

Forward Deployed Engineer- Palantir

Mclean, VA · On-site

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery ...

Deloitte

Forward Deployed Engineer- AWS

Mclean, VA · On-site

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery ...

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Showing results 41-60

All JobsDeployed JobsDeployed Jobs in Virginia

Deployed information

See Virginia salary details

$37.9K

$103.6K

$193K

How much do deployed jobs pay per year?

As of Aug 14, 2026, the average yearly pay for deployed in Virginia is $103,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,728.00 and $124,484.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in deployed roles, and how can they be effectively managed?

Professionals in deployed roles often encounter challenges such as adapting to unfamiliar environments, managing logistical complexities, and balancing work responsibilities with personal well-being. Effective communication and collaboration with both local teams and headquarters are crucial for overcoming these obstacles. Many organizations provide pre-deployment training and ongoing support to help employees adjust and remain resilient. Building strong relationships on the ground and maintaining open lines of communication can greatly enhance both job performance and satisfaction.

What does deployed mean in a job context?

In a job context, 'deployed' usually refers to an employee or worker who is assigned to a specific location, project, or task, often away from their main office or base of operations. This term is commonly used in industries such as the military, construction, oil and gas, and IT, where employees may be sent to different sites to perform their duties. Being deployed often involves temporary relocation and can sometimes include working in challenging environments. The length and conditions of deployment vary depending on the employer and industry.

What are the key skills and qualifications needed to thrive as a deployed operations specialist, and why are they important?

To thrive as a Deployed Operations Specialist, you need a strong background in logistics, planning, and operational support, often with military or field experience and relevant security clearances. Familiarity with mission planning software, secure communications equipment, and supply chain management systems is typically required. Adaptability, resilience, and effective teamwork are crucial soft skills when working in challenging and dynamic environments. These abilities ensure mission success, safety, and seamless coordination under pressure during deployments.

What is the difference between Deployed vs Software Developer?

AspectDeployedSoftware Developer
CredentialsTypically requires programming knowledge, deployment tools, and sometimes certifications like AWS or AzureRequires programming skills, computer science degree, and certifications like Microsoft or Oracle
Work EnvironmentInvolves deploying applications in live environments, often collaborating with IT and operations teamsFocuses on coding, designing, and developing software applications in office or remote settings
Industry UsageCommon in IT, cloud services, and software companies during deployment phasesUsed across tech, finance, healthcare, and other industries for software creation

Deployed professionals focus on releasing and managing software in live environments, requiring deployment skills and operational knowledge. Software Developers primarily create and develop software applications, emphasizing coding and design. Both roles are essential in the software lifecycle but differ in their core responsibilities and work settings.

What cities in Virginia are hiring for Deployed jobs?

Cities in Virginia with the most Deployed job openings:

Deployed jobs near you
Infographic showing various Deployed job openings in Virginia as of August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $103,609 per year, or $49.8 per hour.

Lead AI Engineer, Forward Deployed

micro1 AI

Mclean, VA • On-site, Remote

$40 - $60/hr

Part-time

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: Forward Deployed Engineer, U.S. Government


Job Type: Full-time


Location: Hybrid - Washington, D.C.


The Role

We’re hiring an MTS to work on applied AI systems across research and production. This role spans model experimentation, infrastructure, and deployment in high-assurance, mission-critical environments, including forward-deployed work with strategic partners to ensure mission success.


What You’ll Work On

  1. Build and deploy agentic AI systems that support high-impact U.S. Government missions from prototype to production.
  2. Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG workflows, and human-in-the-loop autonomy.
  3. Work directly with government partners in forward-deployed environments to translate mission needs into technical systems.
  4. Build and maintain large-scale data curation, and evaluation pipelines for model training and improvement.
  5. Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms.
  6. Build AI systems that turn mission data, models, and tools into real operational autonomy.
  7. Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, security, and iteration.


What We're Looking For

  1. Able to operate independently in ambiguous, partner-facing settings with technical and operational ownership.
  2. Strong Python engineer with end-to-end ownership experience.
  3. Experience with LLMs and creating agentic systems.
  4. Built or maintained data pipelines / ML infrastructure.
  5. Familiar with RL workflows or simulation environments.
  6. Comfortable in high-security / high-reliability environments.


Preferred Qualifications

  1. Active U.S. security clearance or eligibility and willingness to obtain one.
  2. Experience supporting U.S. Government, defense, intelligence, or national security missions.
  3. Prior experience at a startup, defense organization, Department of War, or government-focused technology company.
  4. Background operating in fast-moving startup environments, mission-critical government settings, or both.


Compensation & Benefits Notice

All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

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