{"id":1533358,"url":"https://alion.io/job/general-dynamics-information-technology-agentic-ai-engineer","title":"Agentic AI Engineer","company":{"id":4418,"name":"General Dynamics Information Technology","domain":"gdit.com","url":"https://alion.io/company/gdit","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":31,"ghost_share":0,"stale_share":0.387,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":111155,"max":150385,"currency":"USD","period":"year","gross":null,"usd_annual":150385},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"CrewAI","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Agile","optional":true}],"status":"live","first_seen_at":"2026-09-30T17:15:16Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-18T12:04:15Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"Type of Requisition:\nPipelineClearance Level Must Currently Possess:\nNoneClearance Level Must Be Able to Obtain:\nNonePublic Trust/Other Required:\nMBI (T2)Job Family:\nData Science and Data EngineeringJob Qualifications:\nSkills:\nAgentic AI, Artificial Intelligence (AI), Data Science, Higher Mathematics, Machine Learning (ML)Certifications:\nNoneExperience:\n5 + years of related experienceUS Citizenship Required:\nNoJob Description:\nOwn your opportunity to shape the future of AI at GDIT\nAs an Agentic AI Engineer supporting the mission of the United States Postal Service (USPS), you will design, develop, and deploy AI solutions that modernize and optimize essential nationwide operations. Your work will directly contribute to improved efficiency, automated processes, and data-driven decision making across a high-impact federal environment.\nMEANINGFUL WORK & PERSONAL IMPACT\nYou will play a critical role in identifying where AI can streamline business processes and deliver measurable outcomes across USPS. Support may include expertise in AI strategy, generative AI, machine learning, large language models, agentic AI, automation, analytics, governance, software engineering, architecture, and enterprise operational support.\nAgentic AI & Architecture\nDesign and develop autonomous AI agents capable of reasoning, planning, and executing multi-step workflows.\nCreate agent-based architectures using orchestration frameworks such as LangChain, AutoGen, and similar technologies.\nBuild modular APIs, integrations, tools, and memory management capabilities, including vector database integration, to support intelligent agent operations.\nIntegrate AI solutions with existing enterprise automation frameworks to reduce manual effort and enhance operational quality.\nIdentify opportunities for AI-enabled automation, operational efficiencies, productivity improvements, and modernization across USPS workflows.\nML/LLM Engineering\nDemonstrate ability to design, build, train, deploy, integrate, and maintain machine learning and LLM-based solutions.\nDevelop AI-enabled automation solutions that improve business processes and support SDLC activities including coding, testing, debugging, deployment, and operational support.\nBuild tools that automate requirements and test case generation using Visual Studio Code, Python, Microsoft Copilot, CrewAI, or other USPS-approved platforms.\nProvide actionable recommendations, solution strategies, and operational insights to improve organizational performance and mission outcomes.\nMLOps, Platforms & Performance\nImplement MLOps practices, CI/CD pipelines, containerization technologies, and scalable deployment environments to support enterprise AI operations.\nEstablish evaluation and testing pipelines to measure AI accuracy, reliability, performance, scalability, and operational effectiveness.\nProvide deep AI technical expertise to troubleshoot, diagnose, optimize, and maintain advanced AI systems, machine learning models, and production AI environments.\nOptimize AI model performance, scalability, efficiency, and accuracy using tools such as PyTorch and TensorFlow.\nData & Analytics\nEnsure data quality, integrity, governance, and security for AI model training, evaluation, deployment, and sustainment.\nSupport the collection, preprocessing, analysis, visualization, and reporting of largescale structured and structured datasets.\nDevelop dashboards, reports, predictive analytics, and executive-level visualizations to support decision-making and operational planning.\nGovernance, Risk & Compliance\nDevelop and implement AI governance frameworks, policies, security controls, ethical AI standards, transparency mechanisms, and compliance processes.\nEnsure compliance with cybersecurity, privacy, regulatory, and organizational requirements applicable to AI systems and enterprise environments.\nMonitor, assess, and mitigate risks associated with AI deployment, automation, and enterprise integration.\nSupport executive leadership with AI strategic advisory services, roadmap development, assessments, briefings, and stakeholder engagement.\nCollaboration, Enablement & Mission Outcomes\nEvaluate opportunities to embed AI across enterprise workflows and design solutions aligned with USPS mission needs.\nCollaborate with CIO leadership, technical teams, program offices, and business stakeholders to support AI adoption, integration, and enterprise modernization.\nTranslate technical AI concepts into business-focused recommendations and operational outcomes.\nProvide technical training, mentoring, workshops, documentation, and knowledge transfer to support workforce readiness and sustainability.\nTrain designated team members to maintain and operate AI-driven tools and scripts.\nSupport continuous improvement initiatives related to AI performance, governance, operational effectiveness, emerging technologies, and enterprise AI adoption.\nProvide ongoing operational and technical support for deployed AI capabilities, including monitoring, maintenance, troubleshooting, optimization, retraining, and lifecycle management.\nWHAT YOU’LL NEED TO SUCCEED\nEducation\nBachelor’s degree in a related field with strong mathematics; or an additional four years of relevant professional experience in lieu of a degree.\nRequired Experience (Multi-Level):\nCandidates will be evaluated for one of the following levels:\nSenior AI Engineer: 5+ years of hands-on AI development experience.\nPrincipal AI Engineer: 8+ years of experience leading or delivering AI, automation, or software development projects.\nAdditional expectations for all levels:\nProven experience contributing to or leading AI/automation initiatives.\nExperience in analytics, data-driven environments, or team leadership roles is highly desirable.\nStrong agentic AI experience with agent frameworks, orchestration tools, and automation workflows.\nExperience working across the infrastructure plane to ensure AI systems operate reliably within enterprise environments.\nStrong mathematical foundation in algebra, statistics, calculus, or related fields applied to AI/ML model development.\nHands-on experience developing, training, and evaluating AI/ML models.\nExperience optimizing model performance, scalability, or efficiency.\nPractical experience applying machine learning to real-world business or operational challenges.\nRequired Technical Skills:\nProficiency building AI solutions using Python, Visual Studio Code, and related languages.\nStrong understanding of generative AI, LLM integration, and modern AI frameworks.\nAbility to develop AI-driven tools that convert business user stories into technical requirements.\nExperience integrating AI capabilities into enterprise automation frameworks, applications, and systems using APIs, microservices, cloud technologies, and scalable deployment strategies.\nAbility to deliver AI scripts and programs that run reliably on USPS-approved environments.\nCapability to document, train, and transition AI tools to operational teams.\nExperience with LangChain, AutoGen, and related orchestration frameworks.\nExperience with vector databases and memory management techniques.\nExperience with PyTorch and TensorFlow.\nExperience implementing MLOps, CI/CD, containerization, and observability/monitoring.\nPreferred Skills:\nStrong analytical and problem-solving skills with a creative approach to complex technical challenges.\nExcellent communication skills with the ability to explain sophisticated AI concepts to non-technical audiences.\nDemonstrated ability to work collaboratively in cross-functional environments.\nFamiliarity with Agile methodologies, cloud platforms, or enterprise-scale AI deployments.\nExperience developing dashboards, reports, predictive analytics, and executive-level visualizations.\nSecurity Clearance Level\nAbility to obtain and maintain a Public Trust clearance and successfully pass a thorough Government background screening process requiring the completion of detailed forms and fingerprinting.\nThis position has a U.S. residency requirement. The USPS security clearance process requires the selected candidate to have resided in the U.S. (including U.S. Territories) for the last five years as follows: U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 6 months consecutively in the last 3 years (unless they meet certain exceptions). Non-U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 90 days consecutively in the last 3 years.\nLocation\nRemote\nGDIT IS YOUR PLACE\nAt GDIT, the mission is our purpose, and our people are at the center of everything we do.\nGrowth: AI-powered career tool that identifies career steps and learning opportunities\nSupport: An internal mobility team focused on helping you achieve your career goals\nRewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time off\nCommunity: Award-winning culture of innovation and a military-friendly workplace\nOwn Your Opportunity\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.\nThe likely salary range for this position is $111,155 - $150,385. 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:\n40Travel Required:\nLess than 10%Telecommuting Options:\nRemoteWork Location:\nAny Location / RemoteAdditional Work Locations:\nTotal Rewards at GDIT:\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.Our Identity Verification Process:\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.About Our Work:\nWe are GDIT. A global technology and professional services company that delivers technology solutions 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. 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