IT Specialist (AI)
Treasury, Departmental OfficesThis position may be filled within any Treasury Bureau. As an IT Specialist (Artificial Intelligence), you will be responsible for formulating technical strategies, standards, & architectures that advance the secure & ethical deployment of AI across Treasury and, by extension, the federal government. You will ensure Treasury's systems meet mission, cybersecurity, & performancerequirements using best practices including Agile, DevSecOps, and Digital Engineering.As an IT Specialist (AI), the following are the duties of this position at the GS-15, or equivalent. If you are selected at a lower grade level, you will have the opportunity to learn to perform all these duties, and will receive training to help you grow in this position. Formulate and direct enterprise-wide AI engineering strategies for AI-enabled systems, computer hardware/software integration, and cloud-native architectures, ensuring compliance with federal mandates and Executive Orders. Design, develop, and evaluate advanced computer engineering solutions for secure AI system deployment, incorporating cybersecurity-by-design and DevSecOps principles. Lead and coordinate cross-agency AI engineering projects involving large-scale digital transformation, data platforms, and secure computing infrastructures.
Opens the company's application page
Listed via
USAJobs
usajobs.gov
Similar roles
Senior Data Analyst
Harnham - Data & Analytics Recruitment
Data Analyst
Harnham - Data & Analytics Recruitment
Service Charge Data Analyst
Robertson Bell
Data Analyst
R3vamp Limited
Design & Tech
Related reads from TCHNX
Why AI Design Tools Are Quietly Replacing Junior Designers and What Actually Comes Next
AI tools promise efficiency, but London studios are discovering an unexpected paradox: automation creates new bottlenecks requiring precisely the expertise being eliminated. We investigate what's actually happening to entry-level design work.
The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training
A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.
The Emergence of Small Language Models: Why Efficiency Is Overtaking Scale
As the AI industry confronts computational costs and environmental concerns, a new generation of compact models is proving that bigger isn't always better. Small language models are reshaping enterprise AI deployment.