Senior AI Systems Engineer

Job Description

Description


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.

Qualifications


Required Education and Experience:

• 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.
• Active Top Secret Clearance with Polygraph.
• 5+ years of industry experience in supporting AI/ML solutions.
• Experience with cloud computing services (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
• Experience with data modeling, data pipeline creation, and deployment of ML models in production environments.
• Experience with DevOps practices, including MLOps, and CI/CD pipelines for AI/ML.
• 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.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Overview


SAIC accepts applications on an ongoing basis and there is no deadline.

SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.


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.