AI Solutions Engineer - Associate

The Federal Reserve

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Boston, MANew York, NYPhiladelphia, PACleveland, OHRichmond, VAAtlanta, GAChicago, ILSt. Louis, MOMinneapolis, MNKansas City, MODallas, TXSan Francisco, CA
Salary
$76,000–$95,800 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today
Closes
Oct 20, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k
This role $86k
$61k most similar roles pay here $219k

This role pays less than 99% of similar roles. Most pay $139,500–$202,800 — the shaded band above. At the midpoint, this role pays about $86k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About The Federal Reserve

The Federal Reserve is the central bank of the United States—one of the world's most influential, trusted and prestigious financial organizations.

The Federal Reserve currently has 27 open roles on FindRole.

Listed pay typically runs $123,250–$165,800 across 12 roles with salary data.

Most-posted roles

View all roles at The Federal Reserve

At a glance

TL;DR · AI Solutions Engineer - Associate

The AI Solutions Engineer - Associate joins the Infrastructure, Platforms & Operations portfolio to support the development and maintenance of AI/ML solutions. Working under senior guidance, the engineer builds and supports scalable, secure AI-powered systems for the Federal Reserve System. Key responsibilities include contributing to RAG pipelines, prompt engineering, and agentic workflows while developing automation scripts to streamline data pipelines and model deployment. The role involves building GenAI solutions using AWS Bedrock, configuring infrastructure with Terraform and Infrastructure as Code principles, and maintaining CI/CD pipelines via GitLab. Technical requirements include proficiency in Python, React, SQL, and core AWS services like EC2 and S3. The position addresses the business need for reliable, secure IT products and automated AI capabilities to support organizational decision-making and operational processes.

What you'll do

  • Contribute to RAG pipelines, prompt engineering, and agentic workflows to support business use cases.
  • Write Python scripts to streamline AI model deployment, data pipelines, and operational processes.
  • Build and deploy GenAI and RAG solutions using AWS Bedrock and related AI/ML services.
  • Configure AWS infrastructure for AI workloads using Terraform and Infrastructure as Code principles.
  • Maintain CI/CD pipelines for automated testing, deployment, and infrastructure provisioning using GitLab.
  • Develop user interfaces for AI front ends and monitoring solutions using React.
  • Troubleshoot and resolve routine to moderately complex AI infrastructure and application issues.
  • Document AI solution details, runbooks, and operational procedures following technical writing best practices.

What we're looking for

  • Candidates must be U.S. citizens or lawful permanent residents with at least three years of legal residency.
  • 0 to 3 years of direct relevant work experience in AI/ML engineering, cloud infrastructure, DevOps, or software engineering.
  • A bachelor's degree in computer science, Information Technology, Engineering, or a related field (preferred).
  • Foundational knowledge of Generative AI concepts, Large Language Models, prompt engineering, RAG, and Agentic AI.
  • Working knowledge of Python for scripting and automation.
  • Basic proficiency with Terraform or similar Infrastructure as Code tools.
  • Familiarity with core AWS services, CI/CD concepts, and React for frontend development.
  • Certification related to Information Technology or AI/ML (preferred).

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