AI​/ML Manager

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As an Artificial Intelligence (AI)/Machine Learning (ML) Manager at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.

At GDIT, people are our differentiator. As an AI/ML Manager supporting CMS, you will architect, develop, integrate, and operationalize AI/ML capabilities that enhance decision support and operational readiness across environments. You will be responsible for designing, developing and deploying AI models, algorithms and systems to enhance productivity, decision‑making and automation within the organization.

• 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, including hands‑on experience with modern AI technologies.
• 5+ years of hands‑on experience designing, developing, and deploying AI/ML solutions in production environments, including experience with modern AI technologies and 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 implemented 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 working with cloud computing platforms (AWS preferred; Azure or Google Cloud acceptable) and using AI services such as AWS Bedrock, Azure AI Foundry, or Google Vertex AI.
• Experience implementing AI solutions in secure, restricted or regulated environments.
• Candidate must be able to obtain Public Trust clearance.
• Candidate must have lived in the United States at least three (3) out of the last five (5) years.

• Experience supporting enterprise‑scale Salesforce Solutions;
  Agentforce implementation experience is highly preferred.
• Familiarity with AI governance practices and modernization initiatives, including efforts to align AI capabilities with enterprise transformation goals.
• Experience working with or supporting U.S. Federal Agencies, preferably the Centers for Medicare and Medicaid Services (CMS).
• Experience deploying AI/ML solutions in cloud environments such as AWS Gov Cloud or Azure Government.
• Knowledge of Zero Trust architectures…