Artificial Intelligence/Machine Learning Engineer, Mid

Responsibilities

• Work directly with mission users to develop and deploy artificial intelligence and machine learning solutions.
• Collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities.
• Develop LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.
• Support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments.
• Contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.

Qualifications

• 5-10 years of experience building and deploying machine learning models in professional, research, or mission-oriented environments.
• Experience with integrating LLMs or AI APIs into applications, tools, or workflows.
• Experience in Python for AI/ML development and data processing.
• Knowledge of modern AI/ML development patterns including model integration, prompt engineering, and orchestration.
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Ability to analyze complex problems and operate effectively in evolving technical environments.
• TS/SCI clearance with a polygraph.
• Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, Mathematics, Statistics, or Master’s degree with 3+ additional years of experience; or PhD with demonstrable applied AI/ML engineering experience.

Nice If You Have

• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with containerization and orchestration tools such as Docker or Kubernetes.
• Experience with data processing pipelines, distributed computing, and feature engineering at scale.
• Experience with natural language processing (NLP) techniques including text classification, topic modeling, or semantic search.
• Knowledge of agentic AI frameworks and autonomous workflow design patterns.
• Knowledge of MLOps practices including model lifecycle management, experiment tracking, and automated retraining.
• Additional programming language experience with Java, Scala, C++, or R.

Clearance

• TS/SCI clearance with a polygraph is required.

Compensation

The projected compensation range for this position is $64.90 to $93.75 per hour.