AI Solutions Engineer - Associate

Company

Federal Reserve Bank of Richmond

When you join the Federal Reserve—the nation's central bank—you’ll play a key role, collaborating with leading tech professionals to strengthen and protect our economic, financial and payments systems.

We invest in contemporary and emerging technology each year to support the Federal Reserve and our economy, and we’re building a dynamic and diverse team for our future.

We invite applications for AI Solutions Engineer - Associate
The AI Solutions Associate Engineer role is ideal for early-career professionals looking to build a career in supporting the development and maintenance of AI/ML solutions using Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks, combined with Infrastructure as Code and automation practices.

The engineer will contribute to building and supporting scalable, secure AI-powered systems for the Federal Reserve System under the guidance of senior team members.

Infrastructure Platforms & Operations:
You will be joining The Infrastructure, Platforms & Operations portfolio.

This business line supports the strategic direction and product delivery for System IT infrastructure and operations, as well as the alignment of technology to business strategies.

The team serves as the business partner for secure and reliable IT products, services, and operations.

This position does not sponsor employment visas.

Candidates must be U.S.

citizens or lawful permanent residents with at least three years of legal residency.

There are three (3) vacancies for this job profile, candidates will be selected based on the needs of the position and the strength of the candidate pool.

AI/ML Solution Development


* Work under close direction and guidance; follow established methods and policies.


* Contribute to RAG pipelines, prompt engineering, and agentic workflows to support business use cases


* Write automation scripts using Python to help streamline AI model deployment, data pipelines, and operational processes


* Assist in building and deploying GenAI, RAG, and Agentic AI solutions leveraging AWS Bedrock and related AI/ML services, under guidance from senior engineers


* Support configuration of AWS infrastructure for AI workloads including compute, storage, networking, and security using Terraform and Infrastructure as Code (IaC) principles


* Support and maintain CI/CD pipelines for automated testing, deployment, and infrastructure provisioning using GitLab or similar tools

 

Application Development & Support


* Assist in developing user interfaces using React for AI front end, monitoring solutions, and administrative applications


* Help troubleshoot and resolve routine to moderately complex AI infrastructure and application issues


* Code, test, debug, and document AI/ML pipeline components and infrastructure enhancements


* Produce ad-hoc queries, reports, and simple automation tools as requested by technical teams a...