2026 Summer Intern, AI Engineering at ICF in Reston, VA

2026 Summer Intern, AI Engineering Location: Reston, VA About Our Team — HPHS Technology Office ICF's Health, People, & Human Services (HPHS) operating group delivers solutions that improve health outcomes, strengthen public systems, and support communities, from global health surveys and environmental science to child welfare, public safety, and federal regulatory modernization. The HPHS Technology Office provides advisory support and innovation services across the operating group. We partner with our domain experts to identify where technology can accelerate mission delivery, unlock new capabilities, and help our teams deliver improved outcomes for clients. From rapid proofs of concept that validate an idea in days to production-ready platforms, we work hands-on alongside delivery teams to solve real-world challenges. Who Are We Looking For? We are seeking a motivated intern with a foundation in programming and a passion for solving real problems using modern AI-enabled technology. The ideal candidate is eager to collaborate, comfortable learning quickly, and interested in applying GenAI tools (e.g., LLMs and prompt techniques) alongside core software and data engineering practices. This is a full-time, 10-week internship beginning early June 2026. The position is fully remote from anywhere in the United States. At this time, we are unable to provide relocation or housing assistance for this internship. Pay is expected to be $28/hour for graduate level interns. Key Responsibilities As a 2026 Summer Intern, AI Engineering for the HPHS Technology Office, you will: Support rapid prototype development using AI tools and AI frameworks Hands-on experience building lightweight front ends and back ends that allow stakeholders to interact with our prototypes Navigate responsible LLM usage, prompt design, and practical grounding patterns (such as grounding responses in authoritative client data) Collaborate with senior engineers and technology partners to integrate, test, and demonstrate capabilities in real workflows A key objective of this internship is to create a win-win engagement where you obtain a fresh perspective, new ways of thinking, and emerging AI skills to solve real challenges. The goal is to deliver work with measurable impact, and the intern may have the opportunity to present learning or deliverables to leadership before the internship concludes. Minimum Qualifications By start date, acceptance/ enrollment verification, or at least 9 credit hours of completed graduate-level courses in computer science or a relevant discipline A completed bachelor’s degree Candidate must be a US citizen or lawful permanent resident (Green Card holder), reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S. per contract requirements. Preferred Qualifications Demonstrated interest, knowledge or early experience in using AI coding assistants (e.g., GitHub Copilot, Claude Code, ChatGPT) for software development tasks Familiarity with at least one programming language (such as Python, JavaScript/TypeScript, or Java) Familiarity with GenAI/LLM tooling — prompt frameworks, vector databases, modern LLM APIs (Anthropic, OpenAI), or Model Context Protocol (MCP) Experience with version control systems (e.g., Git) Exposure to cloud platforms (such as AWS, Azure, or Google Cloud) Strong analytical and problem-solving skills, with an interest in data and systems thinking Excellent communication skills and ability to work collaboratively in a team environment Enthusiasm for learning new technologies and applying them to real-world challenges Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read our EEOpolicy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please email Candidateaccommodation@icf.com and we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations. Read more about workplace discrimination rightsor our benefit offerings which are included in the Transparency in (Benefits) CoverageAct. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $41,822.00 - $71,098.00 Nationwide Remote Office (US99)