Senior AI Systems Engineer

SAIC is seeking a Senior AI Systems Engineer to provide Systems Engineering and Technical Advisory (SETA) support to a mission critical program in Chantilly, VA. In this role, you will directly support the National Reconnaissance Office’s (NRO) Ground Enterprise Directorate (GED)—the organization responsible for architecting, acquiring, and sustaining the nation’s most advanced space and ground systems across their full lifecycle. 

Active Top Secret Clearance with Polygraph is required for this role.

As an Senior AI Systems Engineer, you will play a pivotal role in shaping the customer’s AI/ML strategy within a key ground segment. You will 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. 

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 tradeoffs 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.