AI Solutions Engineer

The Federal Reserve

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Richmond, VASt. Louis, MOCleveland, OHPhiladelphia, PAEast Rutherford, NJSan Francisco, CANew York, NYBoston, MAMinneapolis, MNAtlanta, GADallas, TX
Salary
$94,600–$118,200 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live yesterday
Closes
Oct 21, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $179k
This role $106k
$80k $234k
below market most similar roles pay here above market

This role pays less than 98% of similar roles. Most pay $146,500–$212,300 — the blue band above. At the midpoint, this role pays about $106k versus about $179k 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 28 open roles on FindRole.

Listed pay typically runs $113,500–$161,600 across 13 roles with salary data.

Most-posted roles

View all roles at The Federal Reserve

At a glance

TL;DR · AI Solutions Engineer

The AI Solutions Engineer - Experienced joins the Infrastructure, Platforms & Operations portfolio to develop and maintain enterprise-scale AI/ML solutions. You will design and implement scalable, secure systems using Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks to support critical business functions. Daily responsibilities include architecting RAG pipelines, managing vector database integrations, and building CI/CD pipelines for automated testing and deployment. You will utilize a technical stack including AWS Bedrock, Terraform, Python, Bash, and React for frontend development. Key tasks involve provisioning cloud infrastructure, developing automation scripts, and performing complex problem resolution to ensure system reliability. This role addresses the technical challenge of integrating sophisticated AI capabilities into production environments while adhering to strict security standards and responsible AI principles within a complex financial infrastructure.

What you'll do

  • Develop and maintain enterprise-scale AI/ML solutions using Generative AI, RAG, and Agentic AI frameworks.
  • Design and implement scalable AI-powered systems using Terraform and AWS Cloud infrastructure.
  • Architect RAG pipelines, vector database integrations, and multi-agent orchestration systems for production.
  • Build and maintain CI/CD pipelines in GitLab for automated testing and infrastructure provisioning.
  • Develop automation scripts in Python or Bash to streamline model deployment and data pipelines.
  • Create user interfaces and internal tools using React for AI monitoring and administrative applications.
  • Resolve complex AI infrastructure problems and perform proactive system health and performance reviews.
  • Provide technical mentorship to junior engineers and lead cross-functional AI infrastructure projects.

What we're looking for

  • Must be a U.S. citizen or lawful permanent resident with at least three years of legal residency.
  • Minimum bachelor's degree in computer science, Information Technology, Engineering, or a related field.
  • 3-5 years of relevant work experience in AI/ML engineering, cloud infrastructure, DevOps, or platform engineering.
  • Progressive experience building GenAI, RAG, and Agentic AI solutions, including prompt engineering and agent orchestration.
  • Hands-on experience with AWS Bedrock, core AWS services (EC2, S3, Lambda, VPC, IAM, RDS), and Terraform.
  • Strong programming skills in Python and Bash for automation, scripting, and API development.
  • Proficiency in CI/CD and deployment automation using GitLab pipelines and React for frontend development.
  • Certifications related to IT or AI/ML are strongly preferred (e.g., AWS Solutions Architect, AWS Machine Learning, or HashiCorp Terraform).

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