AI-assisted engineering
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Treasury Technical Workforce Roles
AI Engineer pathway for U.S. Department of the Treasury technical workforce
We identify builders who can become AI-native engineers for federal software delivery. This first step is lightweight by design: tell us what you have personally built, how you use AI coding agents, and where your strongest evidence lives.
ProgramAI Engineer - U.S. Treasury Technical Workforce Program
PlacementTreasury AI Engineering Support
CompensationGS-12 to GS-15 aligned bands
Opportunity
We are looking for builders with judgment, and speed of learning.
The strongest candidates have shipped real systems, navigated unfamiliar code, communicated tradeoffs, and used AI leverage to move faster without dropping engineering discipline. Not to worry - you will be trained in these areas as well.
Backend and cloud depth
Treasury work favors engineers who can own APIs, data layers, deployment, IAM, secrets, logs, and rollback.
Security-aware delivery
Candidates should be ready to build around auth, dependency risk, credential handling, auditability, and federal review.
Treasury opportunity
Grow rapidly toward U.S. Federal AI engineering work with a structured path into placement.
What the role supports
Selected candidates prepare for AI Engineer roles supporting Treasury technical workforce needs, including IRS and Treasury Common Services Center software modernization efforts. The work favors practical builders who can understand unfamiliar systems, ship full-stack software, and communicate clearly with technical and non-technical stakeholders.
Free training and onboarding
Candidates who move forward receive free assessment, training, and onboarding support. The program is designed to help you sharpen AI coding-agent workflows, backend delivery, cloud operations, cybersecurity-aware engineering, testing, deployment discipline, and federal delivery expectations before placement.
What placement looks like
Graduates who complete the managed process are considered for Treasury-aligned AI Engineering Support roles with compensation aligned to GS-12 through GS-15 bands. Remote work may be available during the first year, with Washington, DC relocation expected after that period.
Why this is a strong opportunity
More than a job: a pathway into the next generation of government technology.
The U.S. Treasury is investing in AI-native technology professionals who can combine product thinking, human-centered design, and modern software engineering. The goal is to prepare builders for mission-driven work that improves public services, strengthens cybersecurity, and modernizes critical systems.
Shape AI in government
The U.S. Treasury is modernizing how software is designed, developed, and delivered. This is a chance to help define how AI changes government technology while working on systems with real public impact.
Build the skills that matter next
The program develops more than coding ability: product management, human-centered design, design thinking, AI-native engineering, cloud, DevSecOps, agile delivery, and modern architecture.
Learn by building
The process is built around realistic product challenges: understanding customer needs, defining requirements, applying design thinking, building AI-enabled applications, testing, refining, and deploying.
Grow beyond one placement
Graduates join a long-term AI-native talent community with access to future opportunities, advanced learning, mentoring, and placements across government, commercial work, and Flamelit initiatives.
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 partner-managed evaluation and placement pipeline. Share GitHub, portfolio, AI coding experience, languages, and/or personal projects that show individual ownership.
Start applicationU.S. citizenship is required with eligibility for a Moderate Risk / Public Trust background investigation.
5+ years of hands-on building is preferred; strong builders with 3+ years are considered.
Working proficiency in Python or TypeScript, plus Git and GitHub fluency.
Selected candidates complete a free, full-time, roughly 12-week remote training program before placement.
Talent 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 AI engineering capability.
Placement pipeline
Qualified candidates move into the managed evaluation, training, and placement process.