Note: The job is a remote job and is open to candidates in USA. General Dynamics Information Technology (GDIT) is a global technology and professional services company delivering technology solutions and mission services to government, defense, and intelligence organizations. The AI/ML Technical Architect Lead will lead the strategy, architecture, development, integration, and operationalization of AI/ML capabilities supporting the Centers for Medicare and Medicaid Services (CMS), including secure AI deployment, MLOps, governance, and cybersecurity. The role also advises stakeholders, transitions prototypes into production, manages AI security risks, and mentors junior engineers.
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
Skills
- Artificial Intelligence (AI), Machine Learning (ML), Solution Architecture
- 10 + years of related experience
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field
- 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
- Experience supporting enterprise-scale Salesforce Solutions
- 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
- Master's or PhD preferred
- Agentforce implementation experience is highly preferrable
Benefits
- AI-powered career tool that identifies career steps and learning opportunities
- An internal mobility team focused on helping you achieve your career goals
- Comprehensive benefits and wellness packages
- 401K with company match
- Paid time off
- Full-flex work week to own your priorities at work and at home
- Award-winning culture of innovation and a military-friendly workplace
- Medical plan options, some with Health Savings Accounts, for US-based employees
- Dental plan options for US-based employees
- Vision plan options for US-based employees
- 401(k) plan offering the ability to contribute both pre- and post-tax dollars up to the IRS annual limits and receive a company match
- Vacation, sick, and personal time off
- Paid holidays
- Paid parental, military, bereavement, and jury duty leave
- Typically 15 days of paid leave per calendar year for new employees, to be used for vacations, personal business, and illness
- An additional 10 paid holidays per year
- Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
- Short- and long-term disability benefits
- Life insurance
- Accidental death and dismemberment insurance
- Personal accident insurance
- Critical illness insurance
- Business travel and accident insurance
Company Overview