AI Engineer SME
About The Position
Transform technology into opportunity as an AI Engineer SME at GDIT. Shape what’s next for mission-critical government projects while shaping what’s next for your engineering career. We are seeking a highly experienced Artificial Intelligence (AI) Engineer – Subject Matter Expert (SME) to provide technical leadership and advanced engineering support for mission-critical defense systems in Oahu, Hawaii. The AI SME will architect, develop, integrate, and operationalize AI/ML capabilities that enhance decision support, cyber defense, logistics optimization, ISR analysis, and operational readiness across classified and unclassified environments.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field (Master’s or PhD preferred).
- 10+ years of experience in software engineering, data science, or AI/ML development.
- 5+ years of hands-on experience designing and deploying AI/ML solutions in production environments.
- Demonstrated experience with: Python, R, or similar programming languages Machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Data engineering and large-scale data processing Model deployment and MLOps pipelines
- Experience implementing AI solutions in secure or regulated environments.
- Active Secret clearance (TS preferred).
Nice To Haves
- Experience supporting U.S. Department of Defense programs.
- Familiarity with DoD AI governance and modernization initiatives.
- Experience working with or supporting organizations such as the U.S. Indo-Pacific Command or U.S. Pacific Fleet.
- Experience deploying AI in cloud environments (AWS GovCloud, Azure Government).
- Knowledge of Zero Trust architectures and cybersecurity integration.
- Experience with computer vision, natural language processing, or predictive analytics in ISR or cyber mission sets.
- DoD 8140 / IAM or IAT certification
Responsibilities
- Serve as the technical authority for AI/ML strategy, architecture, and implementation across the program.
- Design and deploy scalable AI/ML models in support of operational defense missions.
- Lead development of predictive analytics, automation frameworks, and intelligent decision-support systems.
- Integrate AI solutions into secure enterprise and tactical environments.
- Ensure compliance with DoD cybersecurity and data governance standards.
- Provide oversight of data engineering pipelines and model lifecycle management (MLOps).
- Develop and maintain model validation, explainability, and bias mitigation practices.
- Advise program leadership and government stakeholders on emerging AI technologies and mission applications.
- Support transition of experimental or prototype AI capabilities into operational production systems.
- Mentor junior engineers and provide technical leadership across cross-functional teams.
Benefits
- Comprehensive benefits and wellness packages
- 401K with company match
- Competitive pay and paid time off
- Full flex work weeks where possible
- Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
- Short and long-term disability benefits
- Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
