AI Engineer II

Kansas City National Security Campus is mission driven and focused on building advanced AI solutions that connect engineering rigor with real-world manufacturing and business outcomes. This on-site role in Kansas City, MO supports the full lifecycle of AI, from end-to-end design and development through productionization and ongoing support.

Responsibilities

• Develop AI and ML models and algorithms using disciplined software engineering, including version control, automated testing, and thorough documentation.
• Design, build, and maintain 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 support real-time manufacturing or business requirements.
• Collaborate with stakeholders to translate business needs into AI system specifications, define service-level objectives, and provide technical guidance to data science partners.

Requirements

• Bachelor’s degree in a quantitative field.
• At least 2 years of relevant experience in computer science, data science, or related technical activities.
• Ability to travel as determined by business needs (0 to 10%).
• Ability to work on-site as directed by management and as determined by business needs.
• Regular and reliable attendance is an essential function of the job.
• United States citizenship.
• Ability to obtain and maintain, if required, a U.S. Department of Energy (DOE) security clearance. Some positions require additional DOE designations.

Technologies You’ll Work With

• Spark, Kafka
• CI/CD
• Azure, AWS
• Git
• Large Language Models (LLMs), Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG)

What We Value

• Ability to grasp complex technical and business problems, prioritize tasks, and devise innovative, production-ready AI solutions aligned with manufacturing or enterprise objectives.
• Demonstrated software engineering discipline, including version control, unit and integration testing, CI/CD, and documentation of code and system architecture.
• Strong communication skills to convey technical concepts, collaborate cross-functionally, and produce clear technical specifications and run books.
• Deep knowledge of machine learning and deep learning, including model design, training, evaluation, and optimization for performance, latency, and resource utilization.
• Familiarity with distributed data processing frameworks and big data ecosystems (Spark, Kafka) for high-throughput training and real-time inference pipelines.
• Ability to create actionable visualizations or dashboards that surface model performance, data quality, and operational metrics.
• Experience with API development, microservices architecture, and Git-based version control.
• Hands-on experience deploying AI applications on Azure or AWS.
• Solid understanding of LLMs, NLP, and RAG.

Benefits

• Medical, dental and vision insurance
• Health Savings Account (HSA)
• Industry leading 401(k) match
• Generous paid time off
• Flexible work schedule
• Tuition Reimbursement
• Professional Certification & License Programs
• Mission driven culture

Additional Information

Job ID: 5613 • Category: Engineering • Level of Experience: Experienced Professional • Posting Location: KCNSC North 9221 Ward Parkway Kansas City, MO, 64114 • Remote Eligibility: On-Site • Approved Work States: MO; KS • Hourly/Salary: Salary • Division: 800 • Department: E65

The Department of Energy (DOE) requires a pre-employment drug test and background review, including checks of references, credit, law enforcement records, and employment and 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. All offers are contingent on a federal background investigation. Indicators of untrustworthiness may result in denial or loss of clearance and termination of employment.

NNSA security requirements for MedPED may apply if you use a medical portable electronic device (such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment used to monitor body functions).

Reasonable accommodation for application submission: [email protected].