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AI Engineer (R-00218)

true zero technologies·US·United States·mid
ml
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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. 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 te

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