AI/ML Systems Engineer Technical Advisor (Mid-level)

  • SAIC
  • VA
  • Jun 08, 2026

Job Description

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, GCP, 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:
  • Must be a U.S. Citizen with an active TS/SCI clearance with Poly.