• Developing controls/monitoring software, low-level requirements-based tests to generate full-coverage LDRA verification procedures. • Analyzing and dispositioning structural coverage holes. • Coordinating with the customer to ensure full test coverage, correct expected results, and communication/disposition of test findings. • Executing the tests in the LDRA test setup on both simulated and on-target environments. • Reviewing test results and test time history data during test development, regression runs, and to help debug software issues. • Identifying findings and reporting them to the customer when test outcomes do not align with requirements or with expected results. • Authoring and participating in formal reviews of test cases, procedures, and results.

• Develop cloud-based software systems as part of a multi-disciplinary team. • Design, develop, and maintain end-to-end data pipelines supporting large-scale data ingestion, transformation, and storage. • Build and evolve backend services and APIs that expose trusted, well-modeled data to internal systems, external partners, and mobile applications. • Collaborate closely with Data Engineers, AI/ML Engineers, and Platform teams to integrate AI insights into production systems. • Ensure data platforms meet high standards for reliability, performance, scalability, and data quality. • Apply strong software engineering principles including clean architecture, testability, observability, and automation. • Contribute to technical design discussions, architecture reviews, and long-term platform roadmap decisions. • Lead by example through code reviews, design mentorship, and technical guidance for junior engineers. • Partner with product, security, and operations teams to deliver compliant, secure, and production-ready solutions.

• Provide strategies and solutions for automating operations and identify streamlined software delivery methodology and technology processes • Provide strategies and solutions to maintain continuous integration & continuous delivery (CI/CD) pipelines • Perform backup, recovery, patching, and ADFS integration • Provide strategies and solutions to support Load and Performance Testing and Management in production as well as lower-level environments • Help in Tier 3 support of InterSystems HealthShare and IRIS for Health systems and related technologies • Installation and Configuration of InterSystems base software, kits, and patches • Help support oAuth and SSO configuration and setup • Provide strategies and solutions to support migration to OpenID Connect (OIDC)

Description 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 $23/hour. 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 - A minimum of 30 completed college credit hours toward a bachelor's degree in computer science or a relevant discipline - 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 their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. 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 with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.  Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. 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 or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.  However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the 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: $34,564.00 - $58,758.00 Nationwide Remote Office (US99)