AI Engineering Intern

Constellis • Herndon, VA

1d • Onsite

About The Position

The AI Engineering Intern will support Constellis’ Enterprise AI Transformation initiatives by assisting with the design, development, evaluation, and deployment of machine learning, generative AI, and data science solutions. This graduate-level internship provides hands-on experience with enterprise data, AI workflow automation, model evaluation, retrieval-augmented generation, analytics, and secure AI application development for business, compliance, and operational use cases.

The role involves supporting AI and analytics work across business functions and collaborating with Information Technology, AI Enterprise Transformation, business stakeholders, data stewards, and application teams. Work is typically based in a busy office environment with frequent interruptions. Business hours are Monday through Friday during standard core hours, though extended hours may be required based on project needs.

Requirements

• Currently enrolled in a graduate or undergraduate degree program in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Applied Mathematics, Engineering, Economics, or a related technical field.
• Coursework or project experience in machine learning, statistical modeling, deep learning, natural language processing, generative AI, data mining, optimization, or predictive analytics.
• Experience with Python and common data science libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, LangChain, or similar tools.
• Familiarity with SQL, data pipelines, APIs, cloud services, version control, notebooks, model evaluation, and responsible AI concepts.
• Strong analytical, problem-solving, communication, and documentation skills, including the ability to explain technical findings to technical and non-technical stakeholders.
• Ability to protect sensitive company information and follow applicable information security, data handling, privacy, and acceptable-use requirements.
• Ability to work in an office environment, use a computer for extended periods, communicate effectively in meetings, and perform standard internship duties with or without reasonable accommodation.

Nice To Haves

• Experience with Azure, Microsoft 365 Copilot, Copilot Studio, Power Platform, SharePoint, GitHub, DevOps practices, retrieval-augmented generation, vector databases, model monitoring, or MLOps.

Responsibilities

• Assist in developing machine learning models, data science workflows, and AI-enabled prototypes for enterprise use cases across business functions.
• Support data preparation, feature engineering, exploratory analysis, model training, testing, validation, and performance monitoring.
• Contribute to generative AI, retrieval-augmented generation, and agentic workflow experiments using approved enterprise platforms, data sources, and development practices.
• Assist in evaluating model quality, grounded-answer accuracy, task success, hallucination risk, bias, explainability, and operational reliability.
• Develop reusable scripts, notebooks, documentation, dashboards, and technical summaries to communicate findings, assumptions, results, and recommendations.
• Collaborate with Information Technology, AI Enterprise Transformation, business stakeholders, data stewards, and application teams to translate business problems into practical AI and analytics solutions.
• Perform other duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed