AI Engineer (R-00218)
Summary
Build and integrate AI models to automate and improve Zero Trust assessment workflows, ensuring secure, auditable outputs for government clients.
True Zero is seeking an AI Engineer to support advanced analytics and automation opportunities within the VA Zero Trust acceleration effort. The role applies approved machine learning and AI-assisted techniques to improve evidence processing, pattern identification, analytical consistency, and workflow efficiency where those techniques are appropriate and authorized.
Job Responsibilities
- Develop AI-assisted methods for classifying, summarizing, correlating, or quality-checking approved Zero Trust assessment and implementation data.
- Prototype analytical capabilities that identify maturity trends, implementation anomalies, recurring dependencies, or reusable engineering insights.
- Integrate approved AI services with existing data and automation workflows using secure, auditable interfaces.
- Establish human review, traceability, validation, and quality controls for AI-assisted outputs used in reporting or decision support.
- Support automation of repetitive technical documentation and evidence-processing tasks where source data and Government policy permit.
- Document models, prompts, logic, data dependencies, limitations, and validation results to support repeatable and responsible use.
Job Qualifications
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Cybersecurity, Engineering, or a related field.
- Three or more years of machine learning, AI engineering, data science, or intelligent automation experience.
- Proficiency with Python and common data or machine learning frameworks.
- Experience integrating AI capabilities through APIs and building auditable data workflows.
- Strong understanding of data governance, security, validation, and human-in-the-loop review.
- Experience applying AI to cybersecurity, enterprise analytics, or technical documentation workflows.
- Experience with retrieval-augmented generation, classification, anomaly detection, or structured extraction.
- Experience operating within Federal security and data handling constraints.
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