AI/ML Delivery Engineer

Responsibilities

• Architect and deliver end-to-end AI/ML and generative AI solutions including data integration, model development, and deployment
• Design scalable, secure, and governed AI/ML architectures for enterprise data management and high-performance workloads
• Develop production-ready AI solutions using LLMs, intelligent search, and workflow automation
• Establish MLOps, LLMOps, and ModelOps practices for CI/CD, experiment tracking, and cost optimization
• Define responsible AI controls for privacy, PHI/PII handling, and bias risk assessment
• Mentor engineers and data scientists and communicate complex AI concepts to executive leadership

Requirements

• Master of Science in Computer Science, IT, Engineering, Mathematics, or Data Science
• 10+ years of experience in related AI/ML engineering roles
• Hands-on experience with cloud-native data architectures and distributed data processing
• Proven track record of deploying Generative AI and LLM applications in production
• Experience with modern machine learning and deep learning frameworks
• Ability to work with large, regulated datasets in government or healthcare environments
• Must be a US Person and able to obtain a Tier 3 Public Trust clearance

Benefits

• Comprehensive medical, dental, and vision insurance
• 401(k) plan with company match
• Full-flex work week and various paid time off plans
• Paid Family Leave program

About the Company

GDIT is a global technology and professional services company that delivers innovative technology solutions and mission services to major U.S. government, defense, and intelligence agencies.