AI Engineer

About This Role

As an AI Engineer at NSA, you will design, develop, deploy, and maintain mission-critical artificial intelligence (AI) systems to advance intelligence collection, processing, and reporting. This role involves applying modern engineering techniques to the entire AI lifecycle and adapting emerging AI research to solve challenging national security problems.

Responsibilities

• Lead or contribute to cross-functional teams to develop and operationalize AI solutions.
• Apply modern engineering techniques to design, develop, deploy, and maintain end-to-end AI workflows.
• Adapt and integrate diverse AI model architectures, including computer vision, NLP, audio processors, LLMs, and multi-modal frameworks.
• Monitor and maintain AI products, identifying performance degradation and computational inefficiency.
• Regularly retune and fine-tune AI systems to ensure alignment with mission needs.
• Maintain knowledge of current AI research and adapt emerging techniques to intelligence applications.
• Test and evaluate AI solutions against mission requirements and produce actionable recommendations.

Requirements

• Ability to pass the Data Science Examination (DSE)
• Relevant experience in implementing production scale AI/ML solutions, distributed model training, distributed AI/ML systems, AI/ML performance monitoring, platform engineering, cloud engineering, developing deep learning models, neural networks, sustaining/maintaining AI/ML models, implementing AI/ML algorithms, AI/ML model development and deployment, DevOps, MLOps, cloud infrastructure management, software engineering, automated testing, or containerization.

Qualifications

• Associate's, Bachelor's, Master's, or Doctoral degree in Computer Science, Engineering, Information Systems, Information Technology, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Operations Research, Artificial Intelligence, Data Science, or Physical or Biological Sciences.
• Entry level requires Associate's degree plus 2 years relevant experience, or Bachelor's degree with no experience, or Master's degree with no experience for some fields. Full Performance, Senior, and Expert levels require more experience based on degree level.

Skills

* Required skills

Benefits