Sr Systems Engineer (AI/ML Integration)

United States·Lexington Parksenior

Systems EngineerInfrastructure & Cloud

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Quick Summary

Key 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.

Technical Tools

Systems EngineerInfrastructure & Cloud

Sr Systems Engineer (AI/ML Integration)

Responsibilities

~1 min read

→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.

Requirements

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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.

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.

What We Offer

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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.