Sr Systems Engineer (AI/ML Integration)

KBR; United States; On-site; USD 105,000 - 157,000; Full time

Benefits offered by this job

401K plan with company match

Medical insurance

Dental insurance

Vision insurance

Life insurance

AD&D

Job summary

KBR seeks a Senior Systems Engineer (AI/ML Integration) to provide technical leadership supporting AI/ML-enabled capabilities within the MQ-9 Program Office. You will guide architecture, requirements, and evaluation efforts, collaborating with government and industry stakeholders to ensure effective integration across acquisition, test, production, and sustainment activities.

The role emphasizes AI/ML concepts within aerospace/defense systems and requires coordinating multiple engineering teams

Qualifications

• Bachelor's degree in Computer Science, Electrical/Computer/Systems Engineering or related STEM field.
• Minimum eight years in design/integration/test/sustainment of aerospace or defense systems.
• Active Secret clearance with ability to obtain Top Secret; U.S. citizenship required.

Responsibilities

• Develop and apply systems engineering products for unmanned aviation and autonomous capabilities.
• Define and maintain system requirements, interfaces, and architecture for AI/ML-enabled systems.
• Conduct trade studies, assessments, and evaluations to inform program decisions.
• Coordinate with government, testing, and platform integrator teams for fielding.
• Provide oversight of AI/ML data management, model development, and deployment activities.

Skills

AI/ML concepts

Systems engineering

Requirements analysis

Trade studies

Technical evaluations

Defense acquisition experience

Education

Bachelor's degree in STEM

Master's degree (preferred)

Tools

Microsoft Office

Job description

Title: Sr Systems Engineer (AI/ML Integration)

Program Summary: This position supports tasking at the Naval Air Systems Command (NAVAIR) Program Executive Office for Unmanned Aviation and Strike Weapons (PEO(U&W)) located in Patuxent River, Maryland. The selected candidate will support the Smart Sensor team in the development, integration, testing, acquisition, and sustainment of advanced unmanned aviation capabilities. This role focuses on the application of Artificial Intelligence (AI) and Machine Learning (ML) technologies to support mission effectiveness, operational decision-making, and autonomous system capabilities across the MQ-9 program portfolio.

Job Summary: KBR is seeking a Senior Systems Engineer (AI/ML Integration) to provide technical leadership supporting AI/ML-enabled capabilities within the MQ-9 Program Office. The selected candidate will serve as a systems engineering subject matter expert responsible for guiding architecture development, requirements definition, technical evaluations, and integration activities associated with AI/ML technologies. This role requires an understanding of AI/ML concepts and their application within complex aerospace and defense systems, with a focus on evaluating technical approaches and supporting informed program decisions. The successful candidate will collaborate with government, industry, and engineering stakeholders to ensure AI/ML capabilities are effectively integrated into operational systems while supporting acquisition, test, production, and sustainment objectives.

Role and Responsibilities:

• Develop and apply systems engineering products and analyses to support the requirements, acquisition, deployment, and sustainment of unmanned aviation systems and associated autonomous capabilities.
• Support the development of AI/ML implementation strategies, concept plans, and technical roadmaps aligned with operational and program objectives.
• Define and maintain system requirements, interface definitions, and architecture products for AI/ML-enabled systems and capabilities.
• Assess, evaluate, and recommend AI/ML approaches, technologies, and architectures to support mission and operational requirements.
• Conduct technical trade studies, analyses of alternatives, and engineering assessments to inform program decisions and investment priorities.
• Coordinate with government stakeholders, development teams, test organizations, and platform integrators to support successful system implementation and fielding.
• Provide systems engineering oversight of AI/ML data management, model development, validation, integration, and deployment activities performed by technical teams.
• Support engineering investigations and deficiency analyses to identify root causes, evaluate corrective actions, and recommend technical solutions.
• Prepare and deliver technical reports, engineering assessments, briefing materials, and decision-support documentation for program leadership.
• Lead and coordinate multifunctional engineering efforts supporting AI/ML capability integration across the MQ-9 enterprise.
• Other duties as assigned in support of mission and business requirements.

Basic Qualifications:

• Education: Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, Systems Engineering, or related STEM field.
• Experience: Minimum eight (8) years of experience supporting the design, integration, test, acquisition, or sustainment of complex aerospace, aviation, autonomous, or defense systems. Minimum three (3) years of experience developing, integrating, testing, or deploying AI/ML solutions. Experience conducting requirements analysis, system architecture development, trade studies, and technical evaluations. Experience supporting systems engineering activities within a U.S. Government defense acquisition environment.
• Security Clearance: Active Secret security clearance with ability to obtain and maintain a Top Secret clearance. U.S. Citizenship required.

Preferred Qualifications:

• Master's degree in Systems Engineering, Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
• Experience supporting AI/ML-enabled systems, autonomous systems, sensor fusion, decision-support systems, or advanced analytics capabilities.
• Understanding of machine learning concepts, model development lifecycles, data management practices, and AI system integration considerations.
• Experience evaluating AI/ML architectures and technical approaches for operational defense applications.
• Previous experience supporting NAVAIR programs or military aviation systems.
• Experience supporting unmanned aviation platforms, particularly MQ-9 or similar Group 4/5 UAS programs. INCOSE ASEP, CSEP, or ESEP certification, or DAWIA certification.
• Experience preparing engineering reports, technical correspondence, and executive-level briefing materials using Microsoft Office applications.

Scheduled Weekly Hours: 40 hours/week.

Compensation: $105,000-$157,000. The salary range posted is based on the national average. The offered rate will be based on the selected candidate’s location, knowledge, skills, abilities, and/or experience, contract affordability, and in consideration of internal parity.

Additional Compensation: KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels per internal policy or contractual designation. Additional compensation may be in the form of a sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.

KBR Benefits: KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.