AI Engineer

About This Role

Design, develop, deploy, and maintain mission-critical artificial intelligence (AI) systems for the National Security Agency. This role combines expertise from data science, software engineering, and systems engineering to optimize the entire AI lifecycle.

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, large language models (LLMs), and multi-modal frameworks
• Monitor and maintain AI products through systematic identification of performance degradation and computational inefficiency
• Address challenges through regular retuning and fine-tuning to ensure continued 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

• Associate's degree in Computer Science/Engineering with 2 years relevant experience OR Bachelor's degree in Computer Science/Engineering with no experience OR Master's degree in Computer Science/Engineering with no experience
• Ability to pass the Data Science Examination (DSE)
• Transcripts from each academic institution

Qualifications

• Associate's degree plus 2 years of relevant experience, or a Bachelor's degree and no experience, or a Master's degree and no experience in Computer Science or engineering (for Entry level)
• Entry level with a Bachelor's or Master's degree in Computer Science/Engineering; or 2 years with an Associate's degree. Up to 11 years for expert level.

Nice to Have

• Experience in implementing production scale AI/ML solutions
• Experience in distributed model training, distributed AI/ML systems, AI/ML performance monitoring
• Experience in platform engineering, cloud engineering, developing deep learning models
• Experience in neural networks, sustaining/maintaining AI/ML models
• Experience in implementing AI/ML algorithms, AI/ML model development and deployment
• Experience in DevOps, MLOps, cloud infrastructure management, software engineering, automated testing, or containerization

Skills

* Required skills

Benefits