AI Engineer SME

Job Qualifications: AI Integration, Artificial Intelligence Strategy, Automation Frameworks, Data Science, Predictive Analytics

Job Description: Transform technology into opportunity as an AI Engineer SME pe 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.

Type of Requisition: Pipeline

Clearance Level Must Currently Possess: Secret

Clearance Level Must Be Able To Obtain: Secret

Public Trust/Other

Required:

None

Job Family: Data Science and Data Engineering

Skills: AI Integration, Artificial Intelligence Strategy, Automation Frameworks, Data Science, Predictive Analytics

Certifications: None

Experience: 10+ years of related experience

US Citizenship

Required:

Yes

• 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 DoW 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.

• 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., Tensor Flow, 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).

• Experience supporting U.S. Department of War programs.
• Familiarity with DoW 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 Gov Cloud, 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.
• DoW 8140 / IAM or IAT certification.

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• Growth: AI‑powered career tool that identifies career steps and learning opportunities
• Support:
  An internal mobility team focused on helping you achieve your career goals
• Rewards:
  Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
• Community:
  Award‑winning culture of innovation and a military‑friendly workplace

Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

#Defend The Indo Pacific

The likely salary range for this position is $169,604 – $229,464. This is not, however, a guarantee of compensation…