Senior AI Solutions Engineer - GenAI, RAG & Infra

Federal Reserve Bank of Richmond

Richmond (VA)

On-site

USD 140,000 - 190,000

Full time

8 days ago

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Job summary

Federal Reserve Bank of Richmond seeks an experienced AI Solutions Engineer to design, implement, and govern enterprise AI/ML platforms. You will build GenAI, RAG, and agentic AI solutions on AWS Bedrock, automate with Terraform, and deploy via GitLab CI/CD.

You will also develop React-based admin interfaces and APIs to support AI automation within a secure, enterprise IT stack. You will work in a collaborative environment focused on reliability, security, and public service, with mentorship for

Qualifications

  • Progressive experience building GenAI, RAG, and Agentic AI solutions including prompt engineering and orchestration frameworks.
  • Hands-on experience with AWS Bedrock and related AI/ML services.
  • Strong programming skills in Python and Bash for automation, scripting, and API development.
  • Advanced proficiency in Terraform for cloud infrastructure provisioning.
  • Experience with core AWS services (EC2, S3, Lambda, VPC, IAM, RDS, Systems Manager).
  • CI/CD and deployment automation using GitLab pipelines.
  • Proficiency in React for internal tools and admin interfaces.
  • Strong Git workflows and collaboration practices.
  • Experience with SQL and NoSQL databases, data modeling, and performance optimization.

Responsibilities

  • Architect GenAI, RAG, and Agentic AI solutions across AWS Cloud environments.
  • Design and implement CI/CD pipelines for AI workflows and automation using GitLab.
  • Resolve complex AI infrastructure and reliability issues and perform system health reviews.
  • Develop UI tools with React and build APIs to support AI automation and orchestration.
  • Lead and mentor engineers within Agile teams on AI tooling and Terraform usage.
  • Ensure governance, compliance, and security practices across AI platforms.

Skills

GenAI, RAG & agent orchestration
Python
GitLab CI/CD
React
Git Version Control
SQL & NoSQL databases

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

Terraform
AWS Bedrock
Docker
ECS / EKS
CloudWatch / Observability

Job description

Federal Reserve Bank of Richmond seeks an experienced AI Solutions Engineer to design, implement, and govern enterprise AI/ML platforms. You will build GenAI, RAG, and agentic AI solutions on AWS Bedrock, automate with Terraform, and deploy via GitLab CI/CD.

You will also develop React-based admin interfaces and APIs to support AI automation within a secure, enterprise IT stack. You will work in a collaborative environment focused on reliability, security, and public service, with mentorship for

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