AI/ML Technical Architect Lead

About this role

Type of Requisition: Regular

Clearance Level Must Currently Possess: None

Clearance Level Must Be Able to Obtain: None

Public Trust/Other Required: BI Full 6C (T4)

Job Family: Technical Solutions

Job Qualifications: Skills: Artificial Intelligence (AI), Machine Learning (ML), Solution Architecture Certifications: None Experience: 10 + years of related experience US Citizenship Required: No

Job Description:

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As an Artificial Intelligence (AI)/Machine Learning (ML) Technical Architect Lead at GDIT, you’ll power in joining our team to support the Centers for Medicare and Medicaid Services (CMS). Work Visa sponsorship will not be provided. At GDIT, people are our differentiator. As an AI/ML Technical Architect Lead supporting CMS, you will architect, develop, integrate, and operationalize AI/ML Technical Architect Lead 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. Key Responsibilities  • 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.

Required Qualifications  • 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. • This is a hands on development position must have experience developing AI/ML solutions. • 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 TensorFlow or PyTorch, preferably implemented within AWS SageMaker. • 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.

Preferred Qualifications  • Experience supporting enterprise-scale Salesforce Solutions; Agentforce implementation experience is highly preferrable.  • 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 GovCloud or Azure Government. • Knowledge of Zero Trust architectures and the integration of cybersecurity principles into AI/ML systems.

GDIT IS YOUR PLACE 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 ● Flexibility: Full-flex work week to own your priorities at work and at home ● Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY Explore a career at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your sense of ownership and pride in the meaningful work we do.

The likely salary range for this position is $204,000 - $276,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours: 40

Travel

Similar jobs

• AI/ML Lead Engineer — Franklintempleton · Stamford, Connecticut, United States | San Ramon, California, United States | San Mateo, California, United States
• AI/ML Engineer, Lead — Sandbar · New York City
• AI/ML Engineer/Architect — Micron · Boise, ID - Main Site
• Principal Technical Architect - AI/ML — Snowflake · Remote
• AI/ML Engineering Manager — Caylent · Remote
• AI/ML Engineer (Senior) — Maxar (Vantor) · Bolling AFB, DC | Arlington, VA | Reston, VA
• AI/ML Engineer — Ello · San Francisco, CA
• AI/ML Engineer — Profound · New York, New York