{"schemaVersion":"jobsearcher.job.v1","id":"c9be73a2c6604e294443648c","url":"https://jobsearcher.com/jobs/c9be73a2c6604e294443648c","canonicalUrl":"https://jobsearcher.com/jobs/c9be73a2c6604e294443648c","title":"AI/ML Manager","description":"Responsibilities for this Position\r\nLocation: Any Location / Remote\r\nFull Part/Time: Full time\r\nJob Req: RQ219814\r\nType of Requisition\r\nRegular\r\nClearance Level Must Currently Possess\r\nNone\r\nClearance Level Must Be Able to Obtain\r\nNone\r\nPublic Trust/Other Required:\r\nBI Full 6C (T4)\r\nJob Family\r\nData Science and Data Engineering\r\nJob Qualifications\r\nSkills\r\nAmazon Bedrock, Amazon Web Services (AWS), Artificial Intelligence (AI), Machine Learning (ML), Retrieval-Augmented Generation\r\nCertifications\r\nNone\r\nExperience\r\n10 + years of related experience\r\nUS Citizenship Required\r\nNo\r\nJob Description\r\nOwn 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.\r\nGDIT is your place. You make it your own by bringing your passion for accelerating the cloud. By owning your opportunity at GDIT, you are helping to ensure our mission is never interrupted. Our work depends on an AI/ML Manager joining our team to support the Centers for Medicare and Medicaid Services (CMS). Work Visa sponsorship will not be provided.\r\nAt 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.\r\nKey Responsibilities\r\n\r\nServe as the technical lead for AI/ML strategy, architecture, and implementation across the program.\r\nDesign and deploy scalable AI/ML models in support of the CMS mission.\r\nLead development of predictive analytics, automation frameworks, and intelligent decision-support systems.\r\nIntegrate AI solutions into secure enterprise and tactical environments.\r\nEnsure compliance with CMS cybersecurity and data governance standards.\r\nProvide oversight of data engineering pipelines and model lifecycle management (MLOps).\r\nDevelop and maintain model validation, explainability, and bias mitigation practices.\r\nAdvise program leadership and stakeholders on emerging AI technologies and mission applications.\r\nSupport transition of experimental or prototype AI capabilities into operational production systems.\r\nIntegrate security, ethical, and data governance requirements directly into AI development workflows, ensuring alignment with CMS Risk Management Framework expectations.\r\nDrive AI security risk management by assessing threats and producing required ATO, configuration management, and incident response documentation.\r\nCoordinate with ISSOs, business owners, and other stakeholders to implement secure AI solutions and participate in audits, interviews, and governance reviews.\r\nLead engagement in security governance processes to maintain continuous compliance with CMS cybersecurity and operational standards.\r\nMentor junior engineers and provide technical leadership across cross-functional teams.\r\n\r\nRequired Qualifications\r\n\r\nBachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field (Master's or PhD preferred).\r\n10+ years of progressive experience in AI/ML, data science, software engineering, or related advanced analytics disciplines, including hands-on experience with modern AI technologies.\r\n5+ years of hands-on experience designing, developing, and deploying AI/ML solutions in production environments, including experience with modern AI technologies and MLOps practices.\r\nProficiency in programming languages such as Python, R, and/or Java.\r\nDeep understanding of machine learning frameworks such as TensorFlow or PyTorch, preferably implemented within AWS SageMaker.\r\nExperience integrating AI/ML capabilities into secure enterprise environments and adhering to cybersecurity, data governance, and compliance requirements.\r\nExperience developing AI products or functional prototypes using Retrieval-Augmented Generation (RAG) and agentic AI technologies.\r\nExperience 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.\r\nExperience implementing AI solutions in secure, restricted or regulated environments.\r\nCandidate must be able to obtain Public Trust clearance.\r\nCandidate must have lived in the United States at least three (3) out of the last five (5) years.\r\n\r\nPreferred Qualifications\r\n\r\nExperience supporting enterprise-scale Salesforce Solutions; Agentforce implementation experience is highly preferrable.\r\nFamiliarity with AI governance practices and modernization initiatives, including efforts to align AI capabilities with enterprise transformation goals.\r\nExperience working with or supporting U.S. Federal Agencies, preferably the Centers for Medicare and Medicaid Services (CMS).\r\nExperience deploying AI/ML solutions in cloud environments such as AWS GovCloud or Azure Government.\r\nKnowledge of Zero Trust architectures and the integration of cybersecurity principles into AI/ML systems.\r\n\r\nGDIT IS YOUR PLACE\r\nAt GDIT, the mission is our purpose, and our people are at the center of everything we do.\r\n\r\nGrowth: AI-powered career tool that identifies career steps and learning opportunities\r\nSupport: An internal mobility team focused on helping you achieve your career goals\r\nRewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off\r\nCommunity: Award-winning culture of innovation and a military-friendly workplace\r\n\r\nOWN YOUR OPPORTUNITY\r\nExplore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.\r\nThe likely salary range for this position is $153,000 - $207,000. 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.\r\nScheduled Weekly Hours\r\n40\r\nTravel Required\r\nLess than 10%\r\nTelecommuting Options\r\nRemote\r\nWork Location\r\nAny Location / Remote\r\nAdditional Work Locations\r\nTotal Rewards at GDIT\r\nOur benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 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. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.\r\nWe are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.\r\nJoin our Talent Community to stay up to date on our career opportunities and events at\r\ngdit.com/tc.\r\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","company":"General Dynamics","rawCompany":"general dynamics","city":"Silver Spring","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-05-17T04:36:35.503Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI/ML Manager","description":"Responsibilities for this Position\r\nLocation: Any Location / Remote\r\nFull Part/Time: Full time\r\nJob Req: RQ219814\r\nType of Requisition\r\nRegular\r\nClearance Level Must Currently Possess\r\nNone\r\nClearance Level Must Be Able to Obtain\r\nNone\r\nPublic Trust/Other Required:\r\nBI Full 6C (T4)\r\nJob Family\r\nData Science and Data Engineering\r\nJob Qualifications\r\nSkills\r\nAmazon Bedrock, Amazon Web Services (AWS), Artificial Intelligence (AI), Machine Learning (ML), Retrieval-Augmented Generation\r\nCertifications\r\nNone\r\nExperience\r\n10 + years of related experience\r\nUS Citizenship Required\r\nNo\r\nJob Description\r\nOwn 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.\r\nGDIT is your place. You make it your own by bringing your passion for accelerating the cloud. By owning your opportunity at GDIT, you are helping to ensure our mission is never interrupted. Our work depends on an AI/ML Manager joining our team to support the Centers for Medicare and Medicaid Services (CMS). Work Visa sponsorship will not be provided.\r\nAt 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.\r\nKey Responsibilities\r\n\r\nServe as the technical lead for AI/ML strategy, architecture, and implementation across the program.\r\nDesign and deploy scalable AI/ML models in support of the CMS mission.\r\nLead development of predictive analytics, automation frameworks, and intelligent decision-support systems.\r\nIntegrate AI solutions into secure enterprise and tactical environments.\r\nEnsure compliance with CMS cybersecurity and data governance standards.\r\nProvide oversight of data engineering pipelines and model lifecycle management (MLOps).\r\nDevelop and maintain model validation, explainability, and bias mitigation practices.\r\nAdvise program leadership and stakeholders on emerging AI technologies and mission applications.\r\nSupport transition of experimental or prototype AI capabilities into operational production systems.\r\nIntegrate security, ethical, and data governance requirements directly into AI development workflows, ensuring alignment with CMS Risk Management Framework expectations.\r\nDrive AI security risk management by assessing threats and producing required ATO, configuration management, and incident response documentation.\r\nCoordinate with ISSOs, business owners, and other stakeholders to implement secure AI solutions and participate in audits, interviews, and governance reviews.\r\nLead engagement in security governance processes to maintain continuous compliance with CMS cybersecurity and operational standards.\r\nMentor junior engineers and provide technical leadership across cross-functional teams.\r\n\r\nRequired Qualifications\r\n\r\nBachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field (Master's or PhD preferred).\r\n10+ years of progressive experience in AI/ML, data science, software engineering, or related advanced analytics disciplines, including hands-on experience with modern AI technologies.\r\n5+ years of hands-on experience designing, developing, and deploying AI/ML solutions in production environments, including experience with modern AI technologies and MLOps practices.\r\nProficiency in programming languages such as Python, R, and/or Java.\r\nDeep understanding of machine learning frameworks such as TensorFlow or PyTorch, preferably implemented within AWS SageMaker.\r\nExperience integrating AI/ML capabilities into secure enterprise environments and adhering to cybersecurity, data governance, and compliance requirements.\r\nExperience developing AI products or functional prototypes using Retrieval-Augmented Generation (RAG) and agentic AI technologies.\r\nExperience 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.\r\nExperience implementing AI solutions in secure, restricted or regulated environments.\r\nCandidate must be able to obtain Public Trust clearance.\r\nCandidate must have lived in the United States at least three (3) out of the last five (5) years.\r\n\r\nPreferred Qualifications\r\n\r\nExperience supporting enterprise-scale Salesforce Solutions; Agentforce implementation experience is highly preferrable.\r\nFamiliarity with AI governance practices and modernization initiatives, including efforts to align AI capabilities with enterprise transformation goals.\r\nExperience working with or supporting U.S. Federal Agencies, preferably the Centers for Medicare and Medicaid Services (CMS).\r\nExperience deploying AI/ML solutions in cloud environments such as AWS GovCloud or Azure Government.\r\nKnowledge of Zero Trust architectures and the integration of cybersecurity principles into AI/ML systems.\r\n\r\nGDIT IS YOUR PLACE\r\nAt GDIT, the mission is our purpose, and our people are at the center of everything we do.\r\n\r\nGrowth: AI-powered career tool that identifies career steps and learning opportunities\r\nSupport: An internal mobility team focused on helping you achieve your career goals\r\nRewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off\r\nCommunity: Award-winning culture of innovation and a military-friendly workplace\r\n\r\nOWN YOUR OPPORTUNITY\r\nExplore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.\r\nThe likely salary range for this position is $153,000 - $207,000. 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.\r\nScheduled Weekly Hours\r\n40\r\nTravel Required\r\nLess than 10%\r\nTelecommuting Options\r\nRemote\r\nWork Location\r\nAny Location / Remote\r\nAdditional Work Locations\r\nTotal Rewards at GDIT\r\nOur benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 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. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.\r\nWe are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.\r\nJoin our Talent Community to stay up to date on our career opportunities and events at\r\ngdit.com/tc.\r\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","datePosted":"2026-05-17T04:36:35.503Z","dateModified":"2026-05-17T04:36:35.503Z","hiringOrganization":{"@type":"Organization","name":"General Dynamics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Silver Spring","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c9be73a2c6604e294443648c"},"url":"https://jobsearcher.com/jobs/c9be73a2c6604e294443648c"}}