Data & AI Engineering Intern

Acuity Inc. (NYSE: AYI) is a market-leading industrial technology company. We use technology to solve problems in spaces, light and more things to come. Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people’s lives. 

We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and an audio, video and control platform. We focus on customer outcomes and drive growth and productivity to increase market share and deliver superior returns. We look to aggressively deploy capital to grow the business and to enter attractive new verticals. 

Acuity Inc. is based in Atlanta, Georgia, with operations across North America, Europe and Asia. The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www.acuityinc.com. 

Position Summary

As a Data & AI Engineering Intern, you will be at the convergence of data infrastructure and artificial intelligence. You'll play a hands-on role in the full lifecycle of intelligent systems—from architecting the data pipelines that feed our models to designing and prototyping the AI agents that drive tangible business impact across sales, customer service, and product management. This is a unique opportunity to contribute to high-visibility initiatives, build intelligent co-pilots, and help shape the future of smart, connected spaces through the power of data and AI.

Key Tasks & Responsibilities

Data Infrastructure & Preparation

• Design and Build Data Pipelines: Assist in architecting, implementing, and deploying data pipelines and data models that support Acuity’s analytics and AI initiatives using tools like Azure Data Factory, Databricks, and SQL.
• Analyze and Prepare Data: Perform data exploration, transformation, and validation on structured and unstructured data to ensure accuracy and usability for model training and business reporting.
• Support Data Quality & Governance: Help monitor and maintain data quality standards, documentation, and lineage; learn and apply best practices for security, compliance, and governance.

 

Skills and Minimum Experience Required

• Currently has, or is in the process of obtaining, a Bachelors, or Masters degree in Computer Science, Machine Learning, Data Science, Computational Engineering, Information Science, or a related technical field.
• Knowledge of SQL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala).
• Strong foundation in machine learning fundamentals (supervised/unsupervised learning, neural networks, model training, and evaluation).
• Demonstrated hands-on experience building or experimenting with AI-powered applications or prototypes (academic, personal, or professional).
• Strong problem-solving, collaboration, and communication skills—able to approach open-ended problems with structure and explain complex ideas to diverse teams.
• Curious, self-driven, analytical and excited to play with data in a fast-paced environment.
• Experience fine-tuning or prompting large language models (LLMs) such as OpenAI GPT, Claude, or Gemini.

Preferred Skills and Experience

• Exposure to cloud-based ML platforms and tools (e.g., Azure ML, Databricks, Azure Stream Analytics).
• Familiarity with vector databases, retrieval-augmented generation (RAG), or AI agent frameworks.
• Experience with real-time data processing (Event Hubs, Kafka, Delta Live Tables).
• Interest in applying AI to business domains like sales, customer experience, product management, or building intelligence.

The range for this position is $36,000.00 to $64,800.00. Placement within this range may vary, depending on the applicant’s experience and geographic location. Acuity offers generous benefits including health care, dental coverage, vision plans, 401K benefits, and commissions/incentive compensation depending on the role. For a list of our benefits, click