> Markdown version of [/jobs/ext/3052217-ai-engineer-ii](https://www.wearedevelopers.com/jobs/ext/3052217-ai-engineer-ii). 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). --- # AI Engineer II - **Company:** Kansas City National Security Campus - **Location:** Overland Park, KS, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Big Data, Business Software, Continuous Delivery, Continuous Integration, Distributed Computing Environment, Machine Learning, Natural Language Processing, Software Engineering, Systems Architecture, User-Centered Design, Large Language Models, Apache Spark, Generative AI, Backend, Git, Integration Tests, Information Technology, Low Latency, Apache Kafka, Front End Software Development, Api Design, Software Version Control, Microservices - **Published:** September 24, 2026 - **Apply:** https://www.kansasworks.com/jobs/13672088 ## About the Role Bachelors degree in quantitative field At least two years relevant experience in computer science, data science, or related technical activities Ability to travel as determined by the needs of the business Ability to work on-site as directed by management and as determined by the needs of the business Regular and reliable attendance is an essential function of this job United States Citizenship Ability to obtain and maintain, if required for position, a U.S. Department of Energy (DOE) security clearance (some positions require additional DOE designations) We Value Ability to grasp complex technical and business problems, prioritize tasks, and devise innovative, production ready AI solutions that align with manufacturing or enterprise objectives. Demonstrated software engineering discipline: version control, unit/integration testing, continuous integration-continuous deployment (CI/CD), and documentation of code and system architecture. Strong communication skills (verbal, written, presentation) to convey technical concepts to stakeholders, collaborate with cross-functional teams, and produce clear technical specifications and run books. Deep knowledge of machine learning and deep learning concepts, including model design, training, evaluation, and optimization for performance, latency, and resource utilization. Familiarity with distributed data processing frameworks and big data ecosystems (e.g., Spark, Kafka) to support high throughput training and real time inference pipelines. Proven ability to create actionable visualizations or dashboards that surface model performance, data quality, and operational metrics for end users and decision makers. Experience with API development, microservices architecture, and version control systems (Git). Hands-on experience deploying AI applications on cloud platforms such as Azure or AWS. Solid understanding of Large Language Models (LLMs), Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG). This job description is not all-inclusive; additional duties may be assigned. Employees must maintain regular, reliable attendance, and be able to work on-site and travel as needed., We are required by the Department of Energy (DOE) to conduct a pre-employment drug test and background review, including checks of references, credit, law enforcement records and employment/education history. Applicants must be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. Dual citizenship may affect clearance eligibility., If you have a medical portable electronic device (MedPED) - such as a pacemaker, defibrillator, drug-releasing pump, hearing aids or diagnostic equipment used to measure or monitor body functions - you may be required to meet NNSA security requirements if employed by us. ## Description Are you ready to do work that matters? SummaryContributes to the end-to-end design, development, productionization, and ongoing support of advanced artificial intelligence solutions for manufacturing or business applications, ensuring models are scalable, reliable, and seamlessly integrated into frontend and backend systems. Duties and Responsibilities Develop AI/ML models and algorithms using disciplined software-engineering practices, including version control, automated testing, and thorough documentation. Contribute to designing, building, and maintaining production-grade pipelines for model training, validation, deployment, and monitoring, applying CI/CD and modern orchestration and deployment practices. Optimize model performance for latency, throughput, and resource utilization to meet real-time manufacturing or business requirements. Collaborate with multiple stakeholders to translate business needs into AI system specifications, define service-level objectives, and provide technical guidance to data science partners. You Must Have ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)