AI Engineer

About the role

The AI Engineer supports the FDA and reports to the Program Manager. This position is hybrid.

Responsibilities

• Evaluate existing AI/ML platforms, cloud infrastructure, data storage capabilities, and computational resources across FDA's enterprise environment.
• Assess current system capacity to handle increased AI workloads, identify bottlenecks, and develop capacity planning models for future growth.
• Create detailed technical specifications for enhanced AI infrastructure, including cloud-native solutions, containerization strategies, and microservices architecture.
• Support and determine how to use established AI tools to comply with federal cybersecurity requirements, including proper access controls, data handling protocols, and ongoing compliance monitoring.
• Assess and determine how to effectively integrate established AI solutions with existing FDA systems (FAERS, Orange Book, NDC Directory, etc.) to ensure seamless data flow and operational compatibility.
• Implement real-time monitoring dashboards for model performance, data drift detection, and automated alerting systems for performance degradation.
• Determine how to design effective training programs and support systems to help FDA staff successfully adopt and utilize AI tools in their daily regulatory work.
• Establish comprehensive protocols for model development, validation, deployment, monitoring, and retirement across the AI model lifecycle.
• Develop testing protocols, validation criteria, and quality gates for AI model deployment in regulatory environments.
• Create formal processes for model updates, retraining schedules, and version control management.
• Implement risk assessment protocols for AI deployment, including bias detection, fairness evaluation, and regulatory impact.

Qualifications

• Bachelor’s degree in Engineering or related field
• 3-5 years of experience
• Must be able to obtain and maintain Public Trust

Pay

$175,000 - $200,000 per year