Technical Intern (AI)

iCatalyst•Mclean, VA

1d•Hybrid

About The Position

About iCatalyst 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 have partnered with federal and commercial clients to deliver innovative, mission-driven solutions that enhance operational efficiency, digital transformation, and business outcomes. 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). Core Capabilities 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. Why Join iCatalyst? At iCatalyst, our people are at the center of everything we do. Award-winning culture of innovation and a friendly workplace Work on cutting-edge AI and digital transformation projects Be part of a mission-driven team Grow your career in a stable, certified, high-performing organization Comprehensive benefits and wellness packages, 401K with company match, competitive pay Role Overview We are seeking a Technical (AI) Intern to join our growing team in support of our Federal Agency and and corporate projects. This is an exciting opportunity to work on cutting-edge technologies and contribute to impactful, mission-critical initiatives.

Requirements

Current enrollment in a bachelor’s or master’s program in Computer Science, Computer Engineering, Data Science, or a related STEM field
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
Strong analytical and problem-solving abilities
Excellent communication and collaboration skills
Must be a current college or university student pursuing an undergraduate or graduate degree in a relevant technical field
U.S. Citizenship or Permanent Resident required
Ability to successfully pass a background check
Employment is subject to verification of eligibility to work in the United States

Nice To Haves

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
Proven ability to work in fast-paced, client-focused environments
Experience supporting federal programs preferred
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

Responsibilities

Support the design, development, and testing of AI-powered applications and automated AI governance workflows using AI services, using enterprise tools such as Power Apps/Automate, Azure AI, under the guidance of senior team members
Assist with prototyping AI solutions and experimenting with model behaviors, prompts, and workflows for internal and client-facing use cases
Help build and test LLM-based solutions such as chatbots, copilots, retrieval-augmented generation (RAG) workflows, and AI-enabled automations
Contribute to backend development tasks using Python, including scripts, lightweight APIs, and integrations that support AI features
Assist with data preparation, ingestion, and evaluation activities to improve the performance and usability of AI applications
Assist in creating dashboards and reporting in Power BI to track AI governance activities, model usage, process performance, and key risk/compliance indicators
Participate in testing, debugging, and documenting AI features to support reliable deployment and knowledge sharing
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
Provide support and expertise in assigned domain
Collaborating with cross-functional teams to deliver solutions
Ensure adherence to security, compliance, and quality standards
Support continuous improvement and innovation initiatives
Special projects as needed