The Role
Provides AI/ML systems engineering and technical advisory support for an NRO space launch program. Responsibilities include developing AI/ML strategies and roadmaps, guiding model and algorithm design, translating mission needs into AI/ML opportunities, optimizing data pipelines and cloud environments, validating model performance, and mentoring practitioners. Requires extensive AI/ML experience, cloud and MLOps expertise, strong stakeholder communication, SECURE Plus certification, and an active Top Secret clearance with polygraph.
Summary Generated by Built In
SAIC is seeking a highly skilled AI/ML Systems Engineer to provide Systems Engineering and Technical Advisory (SETA) support to a mission critical program in any of the following locations El Segundo, CA, Chantilly, VA, or Cape Canaveral, FL. In this role, candidate will directly support the National Reconnaissance Office’s (NRO) Office of Space Launch (OSL)—the organization responsible for launch system acquisitions, mission planning, integration and on-orbit operations across the mission full lifecycle.
As an AI/ML Systems Engineer, candidate will play a pivotal role in shaping the customer’s AI/ML strategy, 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.
Active Top Secret Clearance with Polygraph is required.
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 trade offs 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.
- Bachelors and nine (14) years or more experience; Masters and seven (9) years or more experience ; PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of degree.
- Active Top Secret Clearance with Polygraph.
- Relevant industry experience in designing and implementing AI/ML solutions.
- Strong knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
- Experience with cloud computing services (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings.
- Proficient in data modeling, data pipeline creation, and deployment of ML models in production environments.
- Familiarity with DevOps practices, including MLOps, and CI/CD pipelines for AI/ML.
- Must have SECURE Plus Certification.
- 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.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. 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.
Skills Required
- Bachelor’s degree with 14 or more years of relevant experience, or master’s degree with 9 or more years, or PhD/JD with 4 or more years; relevant experience may substitute for degree.
- Active Top Secret security clearance with polygraph.
- Relevant industry experience designing and implementing AI/ML solutions.
- Strong knowledge of ML frameworks such as TensorFlow and PyTorch.
- Programming experience with Python and R.
- Experience with cloud computing services such as AWS, Azure, or Google Cloud and their AI/ML offerings.
- Proficiency in data modeling, data pipeline creation, and production ML model deployment.
- Familiarity with DevOps practices, including MLOps and CI/CD pipelines for AI/ML.
- SECURE Plus Certification.
- Strong analytical and problem-solving skills involving complex issues and variable factors.
- Excellent communication and interpersonal skills, including stakeholder engagement and team mentoring.
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The Company
What We Do
Spectrum San Diego is a high tech security innovator, specializing in ultra-low-dose X-ray screening systems.
