Job ID: 2613319
Location: Chantilly, VA, US
Date Posted: 2026-06-04
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 USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning algorithms is looking for a SETA with project level AI experience and expertise.
Job Description: - Evaluate advanced AI/ML concepts, systems, technologies, designs, architectures, interfaces into space and ground systems.
- 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.
- Develop 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.
- Design, train, and test machine learning models and algorithms.
- Integrate AI models into existing software systems, ensuring scalability and efficiency.
- Preprocess, clean, and analyze large datasets for model training.
- Fine-tune models for maximum accuracy and performance.
- Work with cross-functional teams, including data scientists and stakeholders.
- Stay updated on the latest AI advancements and implementing new tools.
Qualifications Required Education:- 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.
Required Qualifications:- Must have bachelor's degree in science, technology, engineering, or math discipline with 2+ years of experience in applying AI to practical solutions.
- Strong proficiency in Python, Java, or R. Experience with TensorFlow, PyTorch, scikit-learn. Deep learning, natural language processing (NLP), and data modeling.
- Judgement, Critical thinking, problem-solving, and analytical skills.
- Interpersonal and communication skills for written reports, group discussion, and oral presentations.
Desired Qualifications:- Familiarity using tools include cloud platforms (AWS, Google Cloud Platform, Azure), database technologies (SQL, NoSQL), and version control systems (Git).
- 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.
- Artificial Intelligence and/or Machine Learning technologies applied to space systems.
- Prior small to mid-size team leadership experience.
- Prior technical project/program management experience.
- Ability to translate implied customer inputs to explicit project requirements, milestones, and deliverables.
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 .
