Accelerate Your Success by Working at iCatalyst
Technical Intern (AI)
Requirement ID#: 2026_06_ATI
Job Type: Internship
Hybrid Opportunity: Must live in the Washington, D.C. Metropolitan area to be considered.
Company Overview
iCatalyst, Inc. is a next-generation technology company specializing in Artificial Intelligence (AI), Natural Language Processing (NLP), Machine Learning (ML), and Robotic Process Automation (RPA). Since 2007, we’ve partnered with federal and commercial clients to deliver innovative products and services that drive mission success, operational efficiency, and digital transformation.
Our solutions are built on a foundation of agility, security, and scalability, guided by our CMMI ML 3 Services and Software Development framework and backed by globally recognized certifications in ISO 9001:2015 (Quality Management) and ISO/IEC 27001:2022 (Information Security). We specialize in AI-Driven Digital Transformation, Cloud and Infrastructure Modernization, Data Engineering and Advanced Analytics, Enterprise IT Modernization and Mission-Focused Program and Change Management.
We have an exciting opportunity for an AI Technical Intern to join our team to support our corporate office/federal program.
Job Responsibilities
This internship combines AI development, automation, and hands-on IT operations, providing exposure to both enterprise AI projects and day-to-day system administration activities. Some high-level duties include but are not limited to the following:
- Support the design, development, testing, and implementation of AI-enabled applications, automations, and governance solutions under the guidance of senior team members.
- Assist with prototyping, developing, and evaluating AI models, workflows, integrations, and supporting data to enhance internal and client-facing solutions.
- Contribute to software development, testing, debugging, documentation, reporting, and performance monitoring activities that support reliable AI solutions and informed decision-making.
- Collaborate with cross-functional teams to research, validate, and continuously improve AI capabilities, business processes, and user experiences.
- Collaborate with cross-functional teammates including engineering, product, and business stakeholders while learning software development best practices
- Contribute to technical documentation, demos, and presentations summarizing project progress, findings, and recommendations
- Follow secure coding and responsible AI practices appropriate for enterprise and federal environments
- Assist with basic IT and system administration tasks, including user account setup, laptop imaging, software installation, patch verification, and troubleshooting under the guidance of senior administrators.
- Monitor Microsoft 365, endpoint security, and remote management dashboards and help document, investigate, and escalate issues related to alerts, non-compliant devices, and software update status.
- Support SharePoint Online administration activities, including access requests, permissions updates, site maintenance, and document management tasks.
- Assist with endpoint management and maintenance such as verifying antivirus status, patch deployment results, OneDrive backup health, and inventory tracking for company devices.
- Help maintain IT operational documentation, including SOPs, troubleshooting notes, inventory records, and task trackers used for internal support and compliance activities.
- Participate in cybersecurity and compliance support activities by reviewing routine security alerts, assisting with user access reviews, and supporting ISO/CMMI-related administrative tasks.
- Assist with website, cloud, and infrastructure support tasks as assigned, including basic SharePoint, Azure, AWS, DNS, and hosting administration activities.
- Contribute to automation initiatives by helping identify repetitive IT tasks and developing or testing PowerShell, Python, Power Automate, or AI-assisted workflows to improve operational efficiency.
- Shadow and support system administrator on troubleshooting, maintenance, and modernization efforts while gaining hands-on experience with Microsoft 365, endpoint management, cloud services, and enterprise IT operations.
- Provide general technical support for internal users, conference room technology, software issues, and other operational IT requests as needed.
Required Skills
- Coursework, academic projects, or personal projects demonstrating interest in AI/ML, generative AI, natural language processing, or software development
- Foundational programming skills in Python and familiarity with software development concepts such as APIs, debugging, version control, and testing
- Exposure to AI/ML tools, libraries, or platforms
- Interest in building LLM-based applications such as chatbots, copilots, search experiences, or workflow automations
- Basic understanding of cloud platforms, data handling, and prompt engineering concepts is preferred
- Strong problem-solving ability, curiosity, and willingness to learn quickly in a fast-paced technical environment
- Strong organizational and time management skills, with the ability to prioritize tasks and deliver high-quality work in fast-paced environments
- Good communication and collaboration skills, with the ability to work effectively with mentors and cross-functional teams
- Strong attention to detail and ability to manage multiple assignments, deadlines, and priorities
Experience/Qualifications
- Must be a current college or university student pursuing an undergraduate or graduate degree in a relevant technical field
- Academic, research, hackathon, or personal project experience in software engineering, AI/ML, data science, or generative AI is strongly preferred
- Demonstrated interest in applying AI to real-world business, enterprise, or public sector use cases
- Experience with cloud platforms, web applications, or data/AI tooling through coursework or projects is a plus
- Preferred Certifications:
- Microsoft Azure AI Fundamentals or similar entry-level AI/cloud certification
- Relevant student credentials, bootcamps, or online coursework in AI/ML, cloud, or software development
- Participation in university labs, technical clubs, hackathons, or open-source projects is a plus
Education
- Currently pursuing a bachelor’s or master’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related STEM field from an accredited university
Contract/Customer
Federal and Corporate projects
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