Talent Source AI Opportunity
AI Engineer - U.S. Treasury Technical Workforce Program
Join the U.S. Treasury Technical Workforce Program as an AI Engineer to build AI-native software and product solutions that improve public services and modernize government systems. This program develops cross-disciplinary skills in AI engineering, product thinking, and modern DevSecOps practices through hands-on mission work.
Full Summary
AI Engineer - U.S. Treasury Technical Workforce Program
The U.S. Treasury Technical Workforce Program seeks AI Engineers who want to apply AI-native software engineering to real government problems. Participants work on systems that directly affect millions of Americans, contributing to projects that improve public services, strengthen cybersecurity, and modernize critical Treasury systems. Work is mission-driven and emphasizes measurable impact.
This opportunity is intentionally cross-disciplinary. You will learn and practice product management, human-centered design, design thinking, cloud engineering, DevSecOps, and agile delivery alongside AI-assisted development and modern software architecture. The program emphasizes learning-by-doing: participants work through realistic product development challenges including understanding customer needs, defining requirements, building AI-enabled applications, testing, and deploying production-quality software.
The selection and development process is competency-based and multi-dimensional. Candidates are evaluated for demonstrated capability, technical aptitude, learning agility, and problem-solving — not just resumes. The evaluation includes AI-powered pre-screening, technical and behavioral interviews, GitHub and portfolio review, code-quality assessment, and collaboration/communication evaluation. Advancement in the program is based on demonstrated proficiency rather than fixed classroom time.
Graduates join an exclusive talent community and gain practical experience that prepares them for senior engineering, product, and technology leadership roles across government and industry. The program offers hands-on, mission-focused work, a broad technology skill set, and ongoing professional connections and mentoring as part of a longer-term career pathway in AI-native government technology.
Nice to Haves
AI-native Software Engineering
Build and ship AI-enabled applications and adopt AI-assisted development patterns that improve product delivery and system capabilities.
Product & Human-Centered Design
Use design thinking and user-centered approaches to define requirements, test assumptions, and deliver solutions that meet real customer needs.
Modern DevSecOps & Cloud Practices
Work with cloud architecture, DevSecOps, and agile delivery methods to produce secure, production-quality software.
Why this opportunity
What makes this role worth considering
Join the U.S. Treasury Technical Workforce Program as an AI Engineer to build AI-native software and product solutions that improve public services and modernize government systems. This program develops cross-disciplinary skills in AI engineering, product thinking, and modern DevSecOps practices through hands-on mission work.
Real Mission Impact
Contribute to Treasury projects that affect millions of Americans, focusing on measurable improvements to public services and cybersecurity.
Cross-Disciplinary Skill Development
Gain hands-on experience across product management, design, AI engineering, cloud, and DevSecOps rather than specializing in a single discipline.
Career Acceleration & Network
Graduate with practical AI development experience, join an exclusive talent community, and access mentoring and placement opportunities across government and industry.
How this initial assessment works
Pre-assessment is a quick first pass.
Your application captures the evidence recruiters need to decide whether to move you into the next evaluation and placement step.
Start applicationTalent Source AI Pipeline
Join our recruiting pipeline.
Discover
Recruiter backend for leads, candidate pipeline visibility, and CRM-style follow-up.
Assess
Candidate-facing preliminary screen focused on demonstrated fit for this opportunity.
Placement pipeline
Qualified candidates move into the managed evaluation, training, and placement process.