Senior AI/ML Systems Engineer – Autonomous UAS

KBR, Inc.; Lexington Park (MD); On-site; USD 105,000 - 157,000; Full time

Benefits offered by this job

401K plan

Medical

Dental

Vision

Life insurance

AD&D

Flexible spending account

Paid time off

Flexible work schedule

Career development

Job summary

KBR, Inc. seeks a Senior Systems Engineer to lead AI/ML integration within the MQ-9 Program Office. You will guide architecture development, requirements, and technical evaluations, coordinating with government, industry, and engineering teams to ensure AI/ML capabilities are integrated into operational unmanned systems.

The role requires a strong systems engineering background, experience with AI/ML technologies, and ability to support acquisition, test, production, and sustainment objectives.

Qualifications

• Bachelor’s degree in a STEM field and related experience.
• 8+ years in aerospace/defense systems design, integration, test, or sustainment.
• 3+ years in AI/ML solutions development/integration/deployment.

Responsibilities

• Develop systems engineering products to support unmanned aviation systems and autonomous capabilities.
• Support AI/ML implementation strategies, roadmaps, and concept plans.
• Define and maintain system requirements, interfaces, and architecture for AI/ML-enabled systems.

Skills

AI/ML integration experience

Systems engineering

Requirements analysis

Architecture development

Technical evaluations

Acquisition environment

Education

Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Systems Engineering, or related STEM field

Tools

Microsoft Office

Job description

KBR, Inc. seeks a Senior Systems Engineer to lead AI/ML integration within the MQ-9 Program Office. You will guide architecture development, requirements, and technical evaluations, coordinating with government, industry, and engineering teams to ensure AI/ML capabilities are integrated into operational unmanned systems.

The role requires a strong systems engineering background, experience with AI/ML technologies, and ability to support acquisition, test, production, and sustainment objectives.