AI/ML Technical Architect Lead

Responsibilities

• Serve as the technical lead for AI/ML strategy, architecture, and implementation
• Design and deploy scalable AI/ML models in support of the CMS mission
• Lead development of predictive analytics, automation frameworks, and intelligent decision-support systems
• Integrate AI solutions into secure enterprise and tactical environments
• Provide oversight of data engineering pipelines and model lifecycle management (MLOps)
• Develop model validation, explainability, and bias mitigation practices
• Drive AI security risk management and produce required ATO and configuration documentation
• Mentor junior engineers and provide technical leadership across cross-functional teams

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, or Mathematics
• 10+ years of progressive experience in AI/ML, data science, or software engineering
• 5+ years of hands-on experience deploying AI/ML solutions in production environments
• Proficiency in Python, R, and/or Java
• Deep understanding of TensorFlow or PyTorch, preferably within AWS SageMaker
• Experience with Retrieval-Augmented Generation (RAG) and agentic AI technologies
• Experience with cloud platforms such as AWS Bedrock, Azure AI Foundry, or Google Vertex AI
• Ability to obtain Public Trust clearance and meet US residency requirements

Preferred Qualifications

• Experience supporting enterprise-scale Salesforce Solutions and Agentforce
• Experience working with U.S. Federal Agencies, specifically CMS
• Experience deploying AI/ML solutions in AWS GovCloud or Azure Government
• Knowledge of Zero Trust architectures

About the Company

GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community.