Summer 2027 Intern – Super Intelligence (SI) Innovation and Engineering – IT

Federal Reserve Board

Washington (District of Columbia)

Hybrid

USD 37,000 - 39,000

Full time

3 days ago
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Job summary

The Federal Reserve Board offers an internship program designed for undergraduate and graduate students considering careers in economics, finance, accounting, information systems, and data analysis. Interns work under supervision in the SI Innovation & Engineering unit, contributing to SI platforms, reliability, and emerging AI technologies.

Compensation is based on credit hours and may be in-person, remote, or hybrid at the Board’s discretion. Applicants must be U.S.

Qualifications

  • Enrolled in an undergraduate or graduate degree program and returning to continue studies after internship.
  • Internships are paid and may be in-person, remote, or hybrid.
  • U.S. citizenship is required.
  • Strong programming and SI/AI fundamentals preferred.

Responsibilities

  • Support SI engineering, platform operations, and applied innovation projects.
  • Prototyping SI applications and agentic workflows using approved platforms and tools.
  • Develop RAG pipelines, vector databases, and semantic search components.
  • Assist with DevOps practices, CI/CD pipelines, IaC, monitoring, and testing.

Skills

Python
JavaScript/TypeScript
Java
SI/AI concepts
Problem-solving
Communication
Collaboration

Education

Undergraduate/Graduate student enrolled & returning

Tools

LangChain
LlamaIndex
Hugging Face
AWS
Azure
GCP
Docker
Kubernetes
CI/CD

Job description

Always verify and apply to jobs on the official Federal Reserve Board career site or through verified Federal Reserve Board social media channels.

Minimum Education

Enrolled in an undergraduate or graduate degree program at an accredited university and returning to continue studies after the internship.

Minimum Experience

0

Summary

The Federal Reserve Board (Board) provides students opportunities for career success. The Board’s Internship program is designed to provide valuable work experience for undergraduate and graduate students considering careers including, but not limited to, economics, finance and accounting, information systems, and data analysis. The Board believes that by combining academic endeavors with project-related work experience, qualified and capable college students can gain the practical knowledge need in a competitive global job market. Internships are paid positions with salaries commensurate with credit hours; internships may be in-person, remote or hybrid, depending on the needs of the team. Employment in the Board’s internship program is granted to U.S. citizens. Applicants must be currently enrolled in an undergraduate or graduate degree program at an accredited university and returning to continue studies after the internship. Interns receive a syllabus or research project plan outlining their projects and goals for the internship. Interns are assigned a supervisor or mentor to guide them through their internship, and regular check-in meetings with their manager to manage performance expectations and assist with learning goals. Interns have access to a wide range of training programs and events for professional development purposes.

Overview Of Division, Section And Team

The intern will be joining the Office of the Chief SI Officer (“OCSIO”) supporting the SI Innovation & Engineering unit. The OCSIO sits within the Information Technology Division and is responsible for coordinating the Board’s use of super intelligence (SI/AI), breaking down barriers to innovation, cultivating staff skills for effective SI use, and managing the risks of SI use. Within the OCSIO, the SI Innovation & Engineering unit oversees engineering and innovation for the SI Program, working within the overall strategy and direction set by the Chief SI Officer. The team of product managers, engineers, and architects develops and maintains SI platforms and tools for Boardwide use; ensures platform performance, availability, and security; implements DevOps practices for SI systems; evaluates, pilots, and scales third-party SI technologies and models; and researches and builds rapidly advancing SI capabilities such as retrieval augmented generation (RAG), agentic SI, multimodal SI, vector databases and semantic search, and SI observability and evaluation tools. The team partners with the Board’s enterprise architecture, cloud, and cybersecurity teams and with the OCSIO’s governance and data science teams, and works closely with technology leaders and technically oriented staff across the Board and the Federal Reserve System.

Expected Projects

The intern will support a variety of projects spanning SI engineering, platform operations, and applied innovation. Sample projects could include:

  • Prototyping SI applications and agentic workflows using approved SI platforms, models, and coding tools
  • Building and evaluating retrieval augmented generation (RAG) pipelines, including document ingestion, vector databases, and semantic search
  • Developing evaluation and observability tooling to measure SI model and application quality, performance, and cost
  • Supporting DevOps and platform reliability work, such as CI/CD pipelines, infrastructure as code, monitoring, and automated testing for SI systems
  • Analyzing cloud consumption and SI workload performance data to inform infrastructure optimization
  • Researching and piloting emerging SI technologies and models, and documenting findings and recommendations for the team
  • Supporting technical evaluations and proofs of concept for third-party SI technologies and models
  • Contributing to technical documentation, architecture diagrams, and engineering standards for SI platforms
  • Building internal SI tools, demos, and web applications for use by Board staff
Suggested Major/Minor

Computer Science, Computer Engineering, Software Engineering, Data Science, Artificial Intelligence, Machine Learning, Information Systems, or a related field of study

Other majors will be considered provided candidates have demonstrable technical skills.

Required Skills And Knowledge
  • Programming skills – Proficiency in at least one modern programming language (e.g., Python, JavaScript/TypeScript, or Java) and familiarity with version control (e.g., Git).
  • Foundational knowledge of SI/AI concepts – Understand how large language models and generative AI tools work, common application patterns (e.g., prompting, RAG, agents), and their limitations and risks (e.g., data privacy, security, model performance).
  • Problem-solving and analytical skills – Ability to break down technical problems, test and debug solutions, and evaluate results using data.
  • Strong communication skills – Ability to document technical work clearly and explain technical concepts to technical and non‑technical colleagues.
  • Collaboration and adaptability – Ability to work on a team in a fast‑paced environment with evolving priorities, take direction and feedback, and handle sensitive information with discretion.
Preferred Skills

Experience with SI/AI frameworks and APIs (e.g., LangChain, LlamaIndex, Hugging Face, or model provider APIs); Experience with generative AI tools (e.g., Claude, Copilot, ChatGPT) and AI coding tools; Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes); Experience with CI/CD pipelines, infrastructure as code, or DevOps practices; Experience with vector databases, semantic search, or knowledge graphs; Experience with data analysis and visualization tools (e.g., Python, SQL, Power BI); Experience working in Agile environments.

Required Documents for application

A copy of an unofficial transcript may be requested.

US Citizenship is required. Applicants must be current students, graduating from their program August 2027 or later. Proof of enrollment will be required.

Job Type

Intern (Fixed Term)

Job Exempt

No

Relocation Provided

No

Compensation Grade(s)

FH Pay Grade 20 - FH Pay Grade 22

Pay

$26.68 - $28.37

Rehabilitation Act

The Board complies with the Rehabilitation Act of 1973, as amended, and provides job applicants with disabilities reasonable accommodations to assist them in applying for jobs at the Board. If you have a disability and would like to request an accommodation in order to apply for a job at the Board, please call 202-452-3880 or e-mail FRBRecruiting@frb.gov.

Equal Opportunity Employer

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or application, membership, or service in the uniformed services.

Privacy

You may review the Federal Reserve Board's Privacy Act Notice at https://www.federalreserve.gov/careers/files/fr1273.pdf.

Paperwork Reduction Act

OMB No. 7100-0181

Approval Expires October 31, 2029

Public reporting burden for this collection of information is estimated to average 0.26-0.71 hours per response, including the time to gather and maintain data in the required form and to review instructions and complete the information collection. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to: Secretary, Board of Governors of the Federal Reserve System, Washington, DC 20551; and to the Office of Management and Budget, Paperwork Reduction Project (7100–0181), Washington, DC 20503. The Federal Reserve may not conduct or sponsor, and an organization (or a person) is not required to respond to a collection of information unless it displays a currently valid OMB control number.

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