AI Solutions Engineer: GenAI, RAG & Cloud Pipelines

Federal Reserve Bank of New York; Richmond (VA); On-site; USD 95,000 - 154,000; Full time

Benefits offered by this job

Healthcare

401(k) match

Paid time off

Educational assistance

Professional development

Job summary

Federal Reserve Bank of Richmond seeks an Experienced AI Solutions Engineer to develop enterprise AI/ML systems using GenAI, RAG, and agentic frameworks, with Terraform, AWS Bedrock, and automation across AWS environments.

The role emphasizes design, deployment, and governance of scalable AI infrastructure, CI/CD via GitLab, React front ends, and collaboration within an Agile team to support critical financial systems.

Qualifications

• Progressive experience building GenAI, RAG, and agent orchestration solutions.
• Hands-on AWS Bedrock and related AI/ML services experience.
• Strong Python and Bash automation skills.

Responsibilities

• AI Solution Architecture & Engineering for GenAI, RAG, and agentic AI on AWS.
• Develop CI/CD pipelines for automated testing and deployment of AI solutions.
• Build UI tools with React and APIs to support AI workflows.
• Lead collaboration in an Agile environment and mentor junior engineers.
• Ensure security, compliance, and cost optimization in AI infrastructure.

Skills

GenAI & RAG

Agentic AI

Python

Bash

Terraform

AWS Bedrock

CI/CD

React

Git

SQL/NoSQL

Education

Bachelor's degree in CS/IT/Engineering

Tools

GitLab

Terraform

AWS Bedrock

Job description

Federal Reserve Bank of Richmond seeks an Experienced AI Solutions Engineer to develop enterprise AI/ML systems using GenAI, RAG, and agentic frameworks, with Terraform, AWS Bedrock, and automation across AWS environments.

The role emphasizes design, deployment, and governance of scalable AI infrastructure, CI/CD via GitLab, React front ends, and collaboration within an Agile team to support critical financial systems.