Job ID: T2601866
Location: Chantilly, VA, US
Date Posted: 2026-03-05
Category: Engineering and Sciences
Subcategory: Systems Engineer
Schedule: Full-Time
Shift: Day Job
Travel: Yes - 10% of the time
Minimum Clearance Required: TS.SCI_wPoly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_ON_SITE
Description ?
SAIC seeks an Artificial Intelligence/Machine Learning Systems Engineer to join our team of professionals providing technical and program services to the U.S. Government (USG). SAIC provides research, engineering, design, analysis, acquisition, development, integration, test, and operations support USG Intelligence Community (IC) and Department of Defense (DoD) customers.
The engineer sought here serves a USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning algorithms. This position provides Systems Engineering & Technical Advisory (SETA) support services. Your responsibilities include some or all of the following:
- Evaluation of advanced AI/ML concepts, systems, technologies, designs, architectures, interfaces into space and ground systems.
- Support Agile SAFe program development processes and activities
- Assist USG Program Office with analysis of alternatives to optimize technical, cost, and schedule performance considerations and improve knowledge and understanding of system, technology, and architecture tradeoffs
- Technical and programmatic support through the entire project life cycle including concept development, system definition, acquisition planning, source selection, system design, development, integration and test, system delivery, and deployment
- Work with government technical and contracts staff developing program acquisition packages
- Briefings and reports including technical and programmatic assessments presenting analysis, results, conclusions, and recommendations
- Provide acquisition advisory services during technical and cost evaluations of proposals
Qualifications Required Education:- Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience
Desired Education:- Bachelor's degree in science, technology, engineering, or math discipline with minimum of nine (9) years of relevant work experience or seven (7) years with master's degree
Required Qualifications:- AI/ML experience
- Acquisition support experience
- Proficient skills using Microsoft Office applications (i.e., Word, Excel, Powerpoint, Sharepoint)
- Critical thinking, problem-solving, and analytical skills
- Interpersonal and communication skills for written reports, group discussion, and oral presentations
Desired Qualifications:- Knowledge, skills, abilities, and/or experience in one of more of the following:
- Systems engineering and integration applied to spacecraft, ground, and launch systems
- R&D of artificial intelligence/machine learning agents
- System acquisition, design, development, integration, test, and/or flight operations
- Small Satellite (SmallSat) systems (single vehicles, clusters, and/or constellations)
- Artificial Intelligence and/or Machine Learning technologies applied to space systems
- System modeling & simulation and/or system performance analysis
- IC mission, organizations, disciplines, systems, and/or processes
Clearance: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 .
