{"schemaVersion":"jobsearcher.job.v1","id":"dbf86591a7e6ea13f56cf09d","url":"https://jobsearcher.com/jobs/dbf86591a7e6ea13f56cf09d","canonicalUrl":"https://jobsearcher.com/jobs/dbf86591a7e6ea13f56cf09d","title":"Lead Artificial Intelligence (AI) Engineer","description":"Type of Requisition: Pipeline\r\nClearance Level Must Currently Possess: Top Secret SCI + Polygraph\r\nClearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph\r\nPublic Trust/Other Required: None\r\nJob Family: Data Science and Data Engineering\r\nJob Qualifications: Skills: AI Concepts, AI Systems, Artificial Intelligence (AI), Data Science, Machine Learning (ML) Certifications: None Experience: 5 + years of related experience US Citizenship Required: Yes\r\nJob Description: Why GDIT\r\nAre you ready to be a part of an elite team at GDIT, working on a large-scale, pioneering National Intelligence program? This is an incredible opportunity to immerse yourself into an environment that fuses innovation, speed, and security to safeguard our Nation.\r\nAt GDIT, you'll thrive in a dynamic and collaborative setting, where your technical skills will be both challenged and expanded. This program offers the chance to engage with cutting‑edge technologies and contemporary development practices in support of a vital mission. You'll play a critical role in addressing some of the most intricate security and operational challenges facing Intelligence and Homeland Security today.\r\nCome join us and contribute to a mission that truly matters, while advancing your career alongside some of the brightest minds in the industry.\r\nWhat You'll AchieveThe Lead AI Engineer will serve as the innovation and technical AI lead across a six-Task Order (TO) software-development IDIQ portfolio. Operating within the Program Management Office (PMO) and reporting directly to the Solution Architect, this role is responsible for:\r\nRationalizing and optimizing the solution portfolio\r\nGuiding AI/ML and automation insertion across multiple TOs\r\nDriving continuous improvement in delivery processes and technical solutions\r\nLeading selection of AI models based on use case and performance requirements, including model optimization and tuning\r\nExploring use of open-weight/open-source models to reduce token consumption across the program and TOs\r\nCollaborating with customer on adoption of new and emerging AI capabilities\r\nEnsuring cost, schedule, and performance objectives are met across completion‑based task orders\r\nThe ideal candidate combines deep AI/ML engineering expertise with strong systems‑thinking, software delivery experience, and the ability to influence stakeholders across a complex program environment.\r\nKey ResponsibilitiesPortfolio-Level AI LeadershipDevelop and maintain an AI/ML strategy for the six-Task Order IDIQ portfolio, aligned with enterprise architecture and program objectives.\r\nAssess current systems and capabilities to identify opportunities for AI‑driven enhancements, cost savings, and performance improvements.\r\nRationalize overlapping solutions and tools across task orders, driving reuse, common services, and standardized approaches to AI/ML.\r\nAI Insertion & Technical ExecutionArchitect and guide the design, development, integration, and deployment of AI/ML solutions (e.g., predictive analytics, NLP, recommendation engines, intelligent automation) into existing and new applications.\r\nLeverage GDIT enterprise accelerators-including ALAMO, Coral, and SDAF-to rapidly design, prototype, and operationalize AI capabilities across the portfolio.\r\nCoordinate with corporate reach‑back and centralized GDIT accelerator teams to ensure effective adoption, configuration, and continuous enhancement of ALAMO, Coral, and SDAF within program solutions.\r\nPartner with individual TO technical leads to define use cases, data requirements, model selection, training pipelines, and MLOps practices.\r\nEstablish and enforce best practices for AI model lifecycle: experimentation, evaluation, deployment, monitoring, retraining, and retirement.\r\nEnsure AI solutions are secure, auditable, explainable, and compliant with applicable regulations and customer policies\r\nContinuous Improvement & InnovationDrive continuous improvement across the portfolio by introducing modern engineering practices (MLOps, DevSecOps, CI/CD, infrastructure as code, automated testing, observability).\r\nLead proof‑of‑concept and rapid prototyping efforts to validate new AI capabilities before scaling.\r\nTrack industry trends and emerging AI technologies, and evaluate their applicability to the program.\r\nDefine metrics and KPIs to measure the impact of AI initiatives on mission outcomes, user experience, and operational efficiency.\r\nLegacy Transition & ModernizationLead technical planning and execution for transitioning legacy systems and workflows to modern architectures, including cloud‑native and AI‑enabled platforms.\r\nPerform technical and architectural assessments of legacy applications and data sources to inform migration and modernization strategies.\r\nCollaborate with PMO and TO leadership to sequence and manage transitions to minimize risk and disruption to operations.\r\nCost, Schedule, and Performance ManagementSupport PMO and Solution Architect in estimating AI‑related work, defining sco#J-18808-Ljbffr","company":"General Dynamics It","rawCompany":"general dynamics it","city":"Chantilly","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-10-14T01:49:37.333Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems 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(AI), Data Science, Machine Learning (ML) Certifications: None Experience: 5 + years of related experience US Citizenship Required: Yes\r\nJob Description: Why GDIT\r\nAre you ready to be a part of an elite team at GDIT, working on a large-scale, pioneering National Intelligence program? This is an incredible opportunity to immerse yourself into an environment that fuses innovation, speed, and security to safeguard our Nation.\r\nAt GDIT, you'll thrive in a dynamic and collaborative setting, where your technical skills will be both challenged and expanded. This program offers the chance to engage with cutting‑edge technologies and contemporary development practices in support of a vital mission. You'll play a critical role in addressing some of the most intricate security and operational challenges facing Intelligence and Homeland Security today.\r\nCome join us and contribute to a mission that truly matters, while advancing your career alongside some of the brightest minds in the industry.\r\nWhat You'll AchieveThe Lead AI Engineer will serve as the innovation and technical AI lead across a six-Task Order (TO) software-development IDIQ portfolio. Operating within the Program Management Office (PMO) and reporting directly to the Solution Architect, this role is responsible for:\r\nRationalizing and optimizing the solution portfolio\r\nGuiding AI/ML and automation insertion across multiple TOs\r\nDriving continuous improvement in delivery processes and technical solutions\r\nLeading selection of AI models based on use case and performance requirements, including model optimization and tuning\r\nExploring use of open-weight/open-source models to reduce token consumption across the program and TOs\r\nCollaborating with customer on adoption of new and emerging AI capabilities\r\nEnsuring cost, schedule, and performance objectives are met across completion‑based task orders\r\nThe ideal candidate combines deep AI/ML engineering expertise with strong systems‑thinking, software delivery experience, and the ability to influence stakeholders across a complex program environment.\r\nKey ResponsibilitiesPortfolio-Level AI LeadershipDevelop and maintain an AI/ML strategy for the six-Task Order IDIQ portfolio, aligned with enterprise architecture and program objectives.\r\nAssess current systems and capabilities to identify opportunities for AI‑driven enhancements, cost savings, and performance improvements.\r\nRationalize overlapping solutions and tools across task orders, driving reuse, common services, and standardized approaches to AI/ML.\r\nAI Insertion & Technical ExecutionArchitect and guide the design, development, integration, and deployment of AI/ML solutions (e.g., predictive analytics, NLP, recommendation engines, intelligent automation) into existing and new applications.\r\nLeverage GDIT enterprise accelerators-including ALAMO, Coral, and SDAF-to rapidly design, prototype, and operationalize AI capabilities across the portfolio.\r\nCoordinate with corporate reach‑back and centralized GDIT accelerator teams to ensure effective adoption, configuration, and continuous enhancement of ALAMO, Coral, and SDAF within program solutions.\r\nPartner with individual TO technical leads to define use cases, data requirements, model selection, training pipelines, and MLOps practices.\r\nEstablish and enforce best practices for AI model lifecycle: experimentation, evaluation, deployment, monitoring, retraining, and retirement.\r\nEnsure AI solutions are secure, auditable, explainable, and compliant with applicable regulations and customer policies\r\nContinuous Improvement & InnovationDrive continuous improvement across the portfolio by introducing modern engineering practices (MLOps, DevSecOps, CI/CD, infrastructure as code, automated testing, observability).\r\nLead proof‑of‑concept and rapid prototyping efforts to validate new AI capabilities before scaling.\r\nTrack industry trends and emerging AI technologies, and evaluate their applicability to the program.\r\nDefine metrics and KPIs to measure the impact of AI initiatives on mission outcomes, user experience, and operational efficiency.\r\nLegacy Transition & ModernizationLead technical planning and execution for transitioning legacy systems and workflows to modern architectures, including cloud‑native and AI‑enabled platforms.\r\nPerform technical and architectural assessments of legacy applications and data sources to inform migration and modernization strategies.\r\nCollaborate with PMO and TO leadership to sequence and manage transitions to minimize risk and disruption to operations.\r\nCost, Schedule, and Performance ManagementSupport PMO and Solution Architect in estimating AI‑related work, defining sco#J-18808-Ljbffr","datePosted":"2026-10-14T01:49:37.333Z","dateModified":"2026-10-14T01:49:37.333Z","hiringOrganization":{"@type":"Organization","name":"General Dynamics It","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chantilly","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dbf86591a7e6ea13f56cf09d"},"url":"https://jobsearcher.com/jobs/dbf86591a7e6ea13f56cf09d"}}