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AI Solutions Engineer - Experienced

rb · Richmond

New
Mid 🇬🇧 English
Generative AI Agentic AI AWS Bedrock Terraform Python Bash React SQL NoSQL

Job description

About the role

The Federal Reserve Bank of Richmond is seeking an AI Solutions Engineer to design, build, and maintain enterprise‑scale AI/ML systems using Generative AI, Retrieval‑Augmented Generation (RAG) and Agentic AI frameworks. You will work within the Infrastructure, Platforms & Operations portfolio to deliver secure, scalable AI‑powered services that support critical business functions across the Federal Reserve System.

Key responsibilities

  • Develop conceptual, logical and physical designs for AI/ML solutions on AWS, using Terraform for infrastructure provisioning.
  • Implement GenAI, RDS, and multi‑agent pipelines with AWS Bedrock, vector databases and related services.
  • Design and maintain CI/CD pipelines in GitLab for automated testing, deployment and infrastructure provisioning.
  • Create automation scripts in Python or Bash to streamline model deployment, data pipelines and operational processes.
  • Resolve complex AI infrastructure issues, perform root‑cause analysis and support system reliability.
  • Build internal tools and front‑end interfaces with React, and develop APIs for AI solution orchestration.

Required profile

  • 3‑5 years of experience building GenAI, RAG or Agentic AI solutions.
  • Hands‑on experience with AWS Bedrock and core AWS services (EC2, S3, Lambda, VPC, IAM, RDS, Systems Manager).
  • Strong programming skills in Python and Bash for automation and API development.
  • Proficiency with Terraform, GitLab CI/CD pipelines and version control (Git).
  • U.S. citizenship or lawful permanent residency.

Required skills

  • Generative AI, Retrieval‑Augmented Generation, Agentic AI frameworks
  • AWS Bedrock and related AI/ML services
  • Terraform infrastructure as code
  • Python, Bash scripting
  • GitLab CI/CD
  • React front‑end development
  • SQL and NoSQL databases

What we offer

  • Opportunity to lead AI infrastructure initiatives at a national institution.
  • Access to cutting‑edge AI technologies and modern automation frameworks.
  • Mentorship for junior engineers and professional development support.
  • Comprehensive benefits, competitive compensation and work‑life balance.

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Source : ats:workday

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Published 19 hours ago

Expires 1 month from now

4 views · 0 interested

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rb

Richmond