AI Solutions Architect: GenAI, RAG & Cloud Infra

Tech Sales Jobs; Richmond (VA); 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 deliver enterprise AI/ML solutions using GenAI, RAG, and agentic AI on AWS with Terraform-based infrastructure. You will participate in building scalable, secure AI-powered systems that support critical business functions across the Federal Reserve System.

The role emphasizes strong Python/Bash automation, CI/CD pipelines with GitLab, and collaboration with security, governance, and product teams to

Qualifications

• 3–5 years of relevant work experience in AI/ML engineering, cloud infrastructure, DevOps, or platform engineering
• Strong programming skills in Python and Bash for automation, scripting, and API development
• Advanced proficiency with Terraform and AWS cloud services to build secure AI infrastructure

Responsibilities

• Develop conceptual, logical, and physical designs for AI/ML solutions using Terraform across AWS environments
• Design and implement GenAI, RAG, and Agentic AI solutions leveraging AWS Bedrock and related services
• Architect RAG pipelines, vector database integrations, and multi-agent orchestration for production use cases
• Prepare detailed specifications and documentation for AI infrastructure provisioning and maintenance
• Design, implement, and maintain CI/CD pipelines for automated testing, deployment, and provisioning using GitLab
• Develop automation scripts to streamline model deployment and data pipelines

Skills

GenAI

RAG

Agentic AI

Python

Bash

Terraform

AWS Bedrock

CI/CD

React

GitLab

Education

Bachelor's degree

Tools

Terraform

AWS Bedrock

React

GitLab

Docker

Kubernetes

Job description

Federal Reserve Bank of Richmond is seeking an Experienced AI Solutions Engineer to design and deliver enterprise AI/ML solutions using GenAI, RAG, and agentic AI on AWS with Terraform-based infrastructure. You will participate in building scalable, secure AI-powered systems that support critical business functions across the Federal Reserve System.

The role emphasizes strong Python/Bash automation, CI/CD pipelines with GitLab, and collaboration with security, governance, and product teams to