> Markdown version of [/jobs/ext/1950399-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1950399-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** Caribou Thunder - **Location:** Omaha, NE, United States - **Experience:** Expert - **Salary:** $90,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Systems Engineering, Code Generation, Computer Engineering, Python (Programming Language), Machine Learning, Scrum Methodology, Tensorflow, Software Engineering, Systems Integration, Unstructured Data, Management of Software Versions, Pytorch, Model Validation, Generative AI, Scikit Learn, Information Technology, Data Analytics, Machine Learning Operations, Devsecops - **Published:** August 6, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9078416/senior-ai-engineer ## About the Role * Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, or a related STEM (Science, Technology, Engineering, or Mathematics) discipline from an accredited university. * U.S. Citizenship required. * Active DoD Top Secret security clearance or the ability to obtain and maintain a Top Secret clearance with required special access. * Demonstrated experience developing algorithms and solving complex analytical problems using Python. * Experience designing, developing, or integrating Artificial Intelligence and Machine Learning solutions. * Familiarity integrating AI/ML capabilities into operational software or mission systems. * Strong understanding of machine learning concepts, data analytics, and statistical modeling techniques. * Strong analytical, problem-solving, and software development skills. * Ability to collaborate effectively across multidisciplinary engineering teams. * Strong written and verbal communication skills., * Experience supporting U.S. Strategic Command (USSTRATCOM) missions including Intelligence, Mission Planning, or Command & Control (C2). * Experience implementing MLOps pipelines and machine learning lifecycle management. * Experience applying AI and machine learning throughout the software or systems engineering lifecycle. * Experience using Generative AI tools to improve software development, engineering productivity, or code generation. * Experience evaluating, validating, and testing AI/ML models in operational environments. * Experience supporting Air Force Nuclear Weapons Center (AFNWC) systems including: + Strategic Mission Planning and Execution System (SMPES) + Mission Planning and Analysis System (MPAS) + Nuclear Planning and Execution System (NPES) * Experience developing AI-enabled automation for software engineering or DevSecOps workflows. * Experience working with modern AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies. * Experience supporting classified Department of Defense software development programs. ## Description Support the modernization of strategic defense mission systems by developing advanced Artificial Intelligence (AI) and Machine Learning (ML) capabilities for U.S. Strategic Command (USSTRATCOM). Join a multidisciplinary engineering team responsible for designing intelligent software solutions, developing machine learning models, and integrating AI-driven capabilities into mission planning and command and control (C2) systems. You'll also help advance AI adoption across the engineering lifecycle by enabling automation, improving developer productivity, and supporting next-generation software development practices. A Day in the Life - What you'll do * Design, develop, and deploy Artificial Intelligence (AI) and Machine Learning (ML) solutions supporting strategic mission planning and command and control (C2) systems. * Develop machine learning models, predictive algorithms, and data analytics solutions that improve mission effectiveness and operational decision-making. * Analyze structured and unstructured data to identify trends, generate insights, and support data-driven engineering decisions. * Develop software applications and automation tools using Python and modern AI/ML frameworks. * Integrate AI and ML capabilities into existing operational mission systems while ensuring performance, security, and reliability requirements are met. * Collaborate closely with systems engineers, software developers, architects, product owners, Scrum Masters, and government stakeholders throughout the software development lifecycle. * Evaluate, test, validate, and optimize AI/ML models to improve model accuracy, scalability, and operational performance. * Support the implementation of MLOps practices for model deployment, versioning, monitoring, and lifecycle management. * Research emerging AI technologies, machine learning techniques, and generative AI capabilities to identify opportunities for mission modernization. * Serve as an AI/ML technical resource by identifying opportunities to automate engineering workflows, software development, testing, and documentation throughout the engineering lifecycle. * Develop technical documentation, model documentation, and engineering artifacts supporting AI/ML implementation and sustainment. * Present AI/ML concepts, technical findings, and implementation strategies to engineering teams, program leadership, and government customers. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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