AI Engineer (R-00218)

True Zero Technologies, a veteran-owned small business, was founded on the principle that the purposeful enablement of people and technology in an organization directly ties to the quality of its outcomes. True Zero recognizes that those outcomes begin and end with our people, and that is what we have built a community of like-minded, driven, and passionate individuals and innovators who are aligned in a common goal of delivering top-tier services to our customers. Our culture and commitment have been recognized through numerous accolades, including being named one of the Best Places to Work in 2023 in two categories (“Prosperous and Thriving” ($5MM–$50MM in gross revenue) and “Mid-Atlantic Region” (DC, DE, MD, NC, VA, WV)), and again in 2025 as a Best Places to Work honoree. In addition, True Zero earned coveted spots on the Inc. 5000 list of fastest-growing companies in America in 2022, 2023, and 2025, a testament to our sustained growth driven by our people-first approach and unwavering dedication to excellence. The Endpoint Engineer – AI Desktop Deployment is responsible for designing, deploying, securing, and maintaining enterprise Windows endpoints that support AI-enabled desktop capabilities in highly regulated, government, and Zero Trust environments. This role combines traditional Windows desktop engineering with modern endpoint management, security compliance, application deployment, performance optimization, and device health monitoring. The engineer will work closely with cybersecurity, cloud, identity, infrastructure, and application teams to ensure endpoints are secure, compliant, performant, and ready to support AI-enabled applications and workloads. The ideal candidate has strong hands-on experience with Microsoft Intune, Microsoft Endpoint Manager, Windows 10/11, Group Policy, application packaging, and Zero Trust endpoint controls.

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.
Preferred Qualifications:
• 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.
Preferred Certifications: One or more of the following is preferred:
• Azure AI Engineer Associate
• AWS Machine Learning Engineer
• Google Professional Machine Learning Engineer
• Security+