ICF

2027 Summer Intern, AI Engineer (Reston, VA)

ICF
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24 hours ago
Reston, VA, USAIntern

Base Salary

$38k - $78k/yr

Responsibilities

  • Collaborate with technical and business or program stakeholders to understand needs, workflows, requirements, constraints, and success criteria.
  • Write, test, and maintain code or scripts for data processing, AI applications, integrations, automation, validation, and reporting.
  • Collect, clean, validate, transform, combine, and evaluate structured or unstructured datasets while documenting sources and processing steps.
  • Prototype AI-enabled solutions using approved models, APIs, cloud services, low-code tools, and related technologies.
  • Create test cases, evaluate results against source data and expected outcomes, and document errors, risks, limitations, and control findings.
  • Support responsible AI, privacy, security, data access, human review, documentation, and governance practices.
  • Use version control and collaborative development practices to manage code, configuration, documentation, and incremental changes.
  • Prepare technical documentation, runbooks, demonstrations, analyses, and presentations for technical and nontechnical audiences.
  • Participate in project reviews, communicate progress and blockers, track assigned work, incorporate feedback, and recommend practical improvements.

Requirements

  • Complete at least 30 college credit hours by the start date in computer science, data science, information systems, engineering, analytics, cybersecurity, or a related field.
  • Preferred candidates have a completed bachelor's degree and are enrolled in or have completed at least 9 graduate-program credit hours in a related field.
  • Programming or scripting experience with Python, PowerShell, JavaScript, SQL, or comparable languages, including data manipulation, querying, analysis, or reusable code development, is preferred.
  • Technical project experience involving coding, data, artificial intelligence, automation, cloud technology, or systems work through coursework, personal projects, research, internships, employment, or other applied learning is preferred.
  • Familiarity with databases, data schemas, data pipelines, extract-transform-load processes, JSON, and YAML is preferred.
  • Exposure to artificial intelligence and machine learning concepts, including large language model applications, agentic workflows, computer vision, natural language processing, or model evaluation, is preferred.
  • Familiarity with APIs, cloud platforms, enterprise data tools, low-code platforms, workflow automation, or business intelligence tools such as Azure, Power Platform, or Power BI is preferred.
  • Experience with Git, Claude Code, or another version-control system and familiarity with collaborative development or code review is preferred.
  • Knowledge of or interest in responsible AI, data privacy, information security, identity and access management, data classification, and AI or data governance is preferred.
  • Strong analytical, problem-solving, written communication, verbal communication, organization, time management, collaboration, adaptability, and professional judgment skills are required.

Benefits

  • 10-week, full-time internship expected to begin in June and end in August.
  • Hybrid work arrangement based in Reston, Virginia, with in-office work two days per week.
  • No housing or relocation assistance is provided.
  • Reasonable accommodations are available for disability, religious, and other qualifying needs.

Tech Stack

Categories

AI ApplicationsData Engineering
ICF

About ICF

10,000+ employees

ICF is a global consulting and technology services firm serving government and commercial clients across domains such as energy, health, climate, and digital modernization. It delivers advisory, program implementation, analytics, and software-enabled solutions on platforms like ServiceNow. Founded in 1969 and headquartered in Reston, Virginia, ICF is a public company traded on NASDAQ and works extensively with U.S. federal, state and local agencies as well as regulated industries.

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