GenAI & RAG AI Solutions Engineer

Tech Sales Jobs; New York (NY); On-site; USD 80,000 - 109,000; Full time

Job summary

Federal Reserve Bank of Richmond is seeking an Experienced AI Solutions Engineer to design and implement enterprise-scale AI/ML solutions. You will work across GenAI, RAG, and agentic AI, leveraging Terraform-based infrastructure on AWS Bedrock and related services.

The role emphasizes secure, scalable, and reliable AI platforms across critical business functions. You will develop CI/CD pipelines with GitLab, write automation in Python/Bash, and collaborate with cross-functional teams to deliver

Qualifications

• Progressive experience building GenAI, RAG, and agent orchestration solutions.
• Hands-on with AWS Bedrock and related AI/ML services.
• Strong Python and Bash scripting for automation and tooling.
• Proficient in Terraform for cloud infrastructure provisioning.
• Experience with React front-end and API development.
• Bachelor-level degree in CS/IT/Engineering or equivalent.

Responsibilities

• AI Solution Architecture & Engineering: design GenAI/RAG/Agentic AI solutions on AWS and Terraform-based infra.
• CI/CD & Automation: develop GitLab pipelines and automation scripts for deployment and testing.
• Problem Resolution & Reliability: diagnose complex AI infra issues and improve system health.
• Application Development & Integration: build internal tools in React and integrate APIs for automation.
• Project Leadership: lead cross-functional AI infrastructure projects and report progress.
• Governance & Compliance: ensure security, auditability, and cost optimization.
• Knowledge Sharing: mentor junior engineers and participate in architecture reviews.

Skills

GenAI

RAG

Agentic AI

Python

Bash

Terraform

AWS Bedrock

AWS services

GitLab

React

SQL/NoSQL

CI/CD

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

Terraform

AWS Bedrock

GitLab

React

Job description

Federal Reserve Bank of Richmond is seeking an Experienced AI Solutions Engineer to design and implement enterprise-scale AI/ML solutions. You will work across GenAI, RAG, and agentic AI, leveraging Terraform-based infrastructure on AWS Bedrock and related services.

The role emphasizes secure, scalable, and reliable AI platforms across critical business functions. You will develop CI/CD pipelines with GitLab, write automation in Python/Bash, and collaborate with cross-functional teams to deliver