AI​/ML Technical Lead

Job Overview

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As an Artificial Intelligence (AI)/Machine Learning (ML) Technical Lead at GDIT, you’ll work to support the Centers for Medicare and Medicaid Services (CMS). Work Visa sponsorship will not be provided.

As an AI/ML Technical Lead supporting CMS, you will architect, develop, integrate, and operationalize AI/ML solutions that enhance decision support and operational readiness across environments. Your responsibilities will include designing, developing, and deploying AI models, algorithms, and systems to improve productivity, decision‑making and automation.

• Serve as the technical lead for AI/ML strategy, architecture, and implementation across the program.
• 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.
• Ensure compliance with CMS 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 stakeholders on emerging AI technologies and mission applications.
• Support transition of experimental or prototype AI capabilities into operational production systems.
• Integrate security, ethical, and data governance requirements directly into AI development workflows, ensuring alignment with CMS Risk Management Framework expectations.
• Drive AI security risk management by assessing threats and producing required ATO, configuration management, and incident response documentation.
• Coordinate with ISSOs, business owners, and other stakeholders to implement secure AI solutions and participate in audits, interviews, and governance reviews.
• Lead engagement in security governance processes to maintain continuous compliance with CMS cybersecurity and operational standards.
• 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 progressive experience in AI/ML, data science, software engineering, or related advanced analytics disciplines.
• Hands‑on development experience with modern AI technologies, including designing, developing, and deploying AI/ML solutions in production environments.
• 5+ years of experience with MLOps practices.
• Proficiency in programming languages such as Python, R, and/or Java.
• Deep understanding of machine learning frameworks such as Tensor Flow or PyTorch, preferably within AWS Sage Maker.
• Experience integrating AI/ML capabilities into secure enterprise environments and adhering to cybersecurity, data governance, and compliance requirements.
• Experience developing AI products or functional prototypes using Retrieval‑Augmented Generation (RAG) and agentic AI technologies.
• Experience with cloud platforms (AWS preferred; Azure or Google Cloud acceptable) and AI services such as AWS Bedrock, Azure AI Foundry, or Google Vertex AI.
• Experience implementing AI solutions in secure, restricted or regulated environments.
• Must be able to obtain Public Trust clearance.
• Must have lived in the United States at least three of the last five years.

• Experience supporting enterprise‑scale Salesforce Solutions;
  Agentforce implementation experience is highly preferable.
• Familiarity with AI governance practices and modernization initiatives aligned with enterprise transformation goals.
• Experience working with or supporting U.S. Federal Agencies, preferably CMS.
• Experience deploying AI/ML solutions in cloud environments such as AWS Gov Cloud or Azure Government.
• Knowledge of Zero Trust architectures and integration of cybersecurity principles into AI/ML systems.

The likely salary range for this position is $153,000 - $207,000. Compensation will be based on experience, geographic location and…