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Remote Edge Computing Jobs in Virginia (NOW HIRING)

SAIC

Senior AI Systems Engineer

Chantilly, VA · On-site +1

$107K - $146K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Senior AI Systems ... You will help drive innovation, guide technical direction, and ensure the delivery of cutting edge ...

Bridge Core (BCore)

SME Software Engineer

Herndon, VA · Remote

This program delivers Enterprise Computing Engineering services with modern technology solutions ... and via remote Cloud services. As a mission-focused administrator that solves problems on the ...

B/CORE

SME Software Engineer

Herndon, VA · Remote

This program delivers Enterprise Computing Engineering services with modern technology solutions ... and via remote Cloud services. As a mission-focused administrator that solves problems on the ...

RAFT

Staff DevSecOps Engineer

Dulles, VA · On-site +1

$150K - $210K/yr

S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in ... Experience with AWS and/or other cloud computing solutions * Experience with software packaging ...

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Raft Company Website

Staff DevSecOps Engineer

Dulles, VA · On-site +1

$150K - $210K/yr

S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in ... Experience with AWS and/or other cloud computing solutions * Experience with software packaging ...

New

Raft Company Website

Staff DevSecOps Engineer

Dulles, VA · On-site +1

$150K - $210K/yr

S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in ... Experience with AWS and/or other cloud computing solutions * Experience with software packaging ...

New

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Remote Edge Computing information

What is the difference between Remote Edge Computing vs Remote Cloud Engineer?

AspectRemote Edge ComputingRemote Cloud Engineer
Required CredentialsNetworking, IoT, hardware knowledge, certifications in edge computing or networkingCloud platforms, scripting, certifications like AWS, Azure, GCP
Work EnvironmentDistributed hardware, local data processing sites, on-site or remote hardware managementData centers, cloud platforms, virtual environments
Employer & Industry UsageTech companies, IoT providers, manufacturing, retailTech firms, SaaS providers, enterprise IT, startups

Remote Edge Computing focuses on deploying and managing computing resources at the data source or network edge, often involving hardware and IoT devices. In contrast, Remote Cloud Engineers work primarily with cloud platforms to develop, deploy, and maintain cloud-based applications and infrastructure. Both roles require technical certifications and involve remote work, but they differ in their focus on hardware versus cloud services.

What are the most commonly searched types of Edge Computing jobs in Virginia? The most popular types of Edge Computing jobs in Virginia are:
What are popular job titles related to Remote Edge Computing jobs in Virginia? For Remote Edge Computing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Edge Computing jobs in Virginia look for? The top searched job categories for Remote Edge Computing jobs in Virginia are:
What cities in Virginia are hiring for Remote Edge Computing jobs? Cities in Virginia with the most Remote Edge Computing job openings:
Remote Edge Computing jobs near you
Senior AI Systems Engineer

Senior AI Systems Engineer

SAIC

Chantilly, VA • On-site, Remote

$107K - $146K/yr

Other

Posted 18 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

70th of 204 rated it services

Job description

Job ID: 2612038
Location: Chantilly, VA, US
Date Posted: 2026-04-30
Category: Engineering and Sciences
Subcategory: Systems Engineer
Schedule: Full-Time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS.SCI_wPoly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_ON_SITE
Description
SAIC is seeking a Senior AI Systems Engineer to provide Systems Engineering and Technical Advisory (SETA) support to a mission critical program in Chantilly, VA. In this role, you will directly support the National Reconnaissance Office's (NRO) Ground Enterprise Directorate (GED)-the organization responsible for architecting, acquiring, and sustaining the nation's most advanced space and ground systems across their full lifecycle.
Active Top Secret Clearance with Polygraph is required for this role.
As an Senior AI Systems Engineer, you will play a pivotal role in shaping the customer's AI/ML strategy within a key ground segment. You will help drive innovation, guide technical direction, and ensure the delivery of cutting edge, mission aligned AI/ML capabilities. This position is ideal for engineers who thrive at the intersection of advanced analytics, system engineering, and strategic advisory work.
Key Responsibilities to include:
  • Collaborate with cross functional teams to define AI/ML project goals, success criteria, and development roadmaps that align with mission priorities.
  • Understand and guide the design of advanced AI/ML models and algorithms, ensuring solutions effectively address complex mission challenges and deliver measurable value.
  • Translate mission and business challenges into AI/ML opportunities, clearly articulating benefits, risks, and tradeoffs to non-technical stakeholders.
  • Stay current on emerging AI/ML technologies, introducing best practices, tools, and methodologies to strengthen the customer's technical posture.
  • Provide mentorship and technical leadership to junior AI/ML practitioners, fostering a culture of innovation and continuous learning.
  • Work closely with customer and vendor data engineers and architects to ensure data pipelines, infrastructure, and compute environments are optimized for model development and deployment.
  • Support vendor teams in rigorous model validation and performance testing, ensuring AI/ML solutions meet mission requirements for accuracy, reliability, and robustness.

Qualifications
Required Education and Experience:
  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
  • Active Top Secret Clearance with Polygraph.
  • 5+ years of industry experience in supporting AI/ML solutions.
  • Experience with cloud computing services (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings.
  • Experience with ML frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
  • Experience with data modeling, data pipeline creation, and deployment of ML models in production environments.
  • Experience with DevOps practices, including MLOps, and CI/CD pipelines for AI/ML.
  • Strong analytical and problem-solving skills with the ability to work on complex issues where analysis of situations requires an in-depth evaluation of variable factors.
  • Excellent communication and interpersonal skills, with a proven record of engaging stakeholders and mentoring teams.

SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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