AI Engineer

Remote in Remote Work, VA, US • Posted 1 hour ago • Updated 1 hour ago
Full Time
On-site
USD $120,001.00 - 160,000.00 per year
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Fitment

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Job Details

Skills

  • Security Clearance
  • Dashboard
  • Resource Management
  • Workflow
  • Knowledge Transfer
  • Training
  • Collaboration
  • Machine Learning (ML)
  • Software Development
  • Cloud Computing
  • NIST 800-53
  • Regulatory Compliance
  • Security Architecture
  • Artificial Intelligence
  • Predictive Analytics
  • Information Technology
  • Systems Engineering
  • FOCUS

Summary

Job ID: 2613013

Location: Remote Work, VA, US

Date Posted: 2026-06-04

Category: Administration

Subcategory:

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: ORA_REMOTE

Description

SAIC is seeking an AI Engineer to support the Administrative Office of the U.S. Courts (AOUSC/AO) Cloud Technology Broker Integration Partner (CTBIP) contract. This position will provide services to build cloud foundations for the Judiciary, including cloud advisory/strategy and implementation services.

This position is contingent upon contract award anticipated for May/June 2026 with a June/July 2026 start date.

This role must be performed in the United States and will be remote. There may be occasional travel to customer site in Washington, DC.

Responsibilities:
  • Design and implement AI-driven solutions to optimize AOUSC's multi-cloud operations, focusing on automation and predictive analytics.
  • Develop and maintain centralized FinOps dashboards for enhanced cost and resource management across multi-cloud environments.
  • Integrate AI capabilities into monitoring and security tools, ensuring compliance with NIST 800-53 standards and Zero Trust principles.
  • Enable the development of self-healing systems and automated workflows to improve operational resilience and efficiency.
  • Conduct knowledge transfer sessions and facilitate training for AOteams to maximize their ability to effectively use AI-based solutions.
  • Collaborate with stakeholders to align AI initiatives with organizational goals and ensure seamless integration with existing multi-cloud systems.


Qualifications

Required Qualifications:
  • Bachelor's degree and 5 years of relevant experience.
  • Experience in machine learning engineering, AI solution development, or related fields.
  • Knowledge of integrating AI with monitoring and security tools in cloud operations.
  • Must be able to obtain and maintain a Public Trust.

Desired Qualifications:
  • Certification in Artificial Intelligence (AI).
  • Familiarity with NIST 800-53 compliance and Zero Trust security architecture.
  • Experience with building AI-driven automation and predictive analytics solutions


Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10111346
  • Position Id: 2613013
  • Posted 1 hour ago

Company Info

About SAIC

SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion.​​​ For more information, visit saic.com. For ongoing news, please visit our newsroom.

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