Serve as the technical authority for AI/ML strategy, architecture, and implementation across the program.
Design and deploy scalable AI/ML models
Lead development of predictive analytics, automation frameworks, and intelligent decision-support systems.
Integrate AI solutions into secure enterprise environments.
Ensure compliance with data governance standards.
Provide oversight of data engineering pipelines and model lifecycle management (MLOps).
Develop and maintain model validation, explainability, and bias mitigation practices.
Advise program leadership and government stakeholders on emerging AI technologies and mission applications.
Support transition of experimental or prototype AI capabilities into operational production systems.
Mentor junior engineers and provide technical leadership across cross-functional teams.

Requirements

All candidates must pass public trust clearance through the U.S. Federal Government.
Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field
4+ years of experience in software engineering, data science, or AI/ML development.
Demonstrated experience with: Python, R, or similar programming languages, Machine learning frameworks, Data engineering and large-scale data processing, and Model deployment and MLOps pipelines
Experience implementing AI solutions in secure or regulated environments.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML strategyAI/ML modelspredictive analyticsautomation frameworksMLOpsmodel validationexplainabilitybias mitigationPythonR

Soft Skills

technical leadershipmentoringcommunicationcollaboration

Certifications

public trust clearance