AI Solutions Engineer – Associate

About the role

The AI Solutions Engineer – Associate will join the Infrastructure, Platforms & Operations portfolio of the Federal Reserve Bank of Richmond. Working under senior guidance, you will help design, build, and maintain AI/ML solutions that leverage Generative AI, Retrieval‑Augmented Generation, and agentic AI frameworks.

Key responsibilities

• Develop and support RAG pipelines, prompt engineering, and agentic workflows for business use cases.
• Write Python automation scripts to streamline AI model deployment, data pipelines, and operational processes.
• Assist in building and deploying GenAI, RAG, and agentic AI solutions on AWS Bedrock, including infrastructure configuration with Terraform.
• Maintain CI/CD pipelines using GitLab (or similar) for testing, deployment, and provisioning.
• Support front‑end development of AI applications using React and troubleshoot AI infrastructure issues.

Required profile

• 0–3 years of experience or a bachelor’s degree in Computer Science, IT, Engineering, or a related field.
• Foundational knowledge of Generative AI, LLMs, and prompt engineering.
• Basic exposure to Retrieval‑Augmented Generation concepts and vector databases.
• Strong written and verbal communication skills and a willingness to learn.

Required skills

• Python for scripting and automation.
• Terraform (or similar IaC tool).
• Core AWS services (EC2, S3, Lambda, VPC, IAM) and AWS Bedrock.
• GitLab (or comparable CI/CD platform) and Git version control.
• React for front‑end development.
• SQL for data queries and analysis.