5 ai engineer intern jobs at 5 companies in Brookhaven, GA
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AI Engineer - Operations
Alpharetta, Georgia, United States
OnsiteFull Time
Deposco: Cloud-based warehouse management and omnichannel fulfillment software provider.
1+ YOEDevelop and deploy AI tooling; build internal AI-enabled tools; collaborate across teams; 1-5 years of Java web development; strong communication and ownership.
VHB: Provides civil engineering, planning, and environmental consulting services.
Pursuing a bachelor's or master's in civil engineering; interest in transportation/traffic; strong communication; ability to perform engineering calculations, field data collection, and plan preparation.
Technology Sales Engineer Intern - Entry-Level Sales Program 2027
Research Triangle Park or Durham or Irvine or Atlanta or Dallas or Austin or San Francisco or Washington or Chicago or New York
$71k-$130k/yrHybridInternship, Contract
IBMNew York Stock Exchange: IBM: Global technology providing enterprise software, cloud, and consulting.
Currently enrolled in a technical undergraduate or graduate program, with foundational technology knowledge, programming experience, AI-assisted development experience, and strong analytical, communication, and presentation skills.
San Francisco or Atlanta or Austin or Boston or Chicago or Dallas or Denver or Houston or Jacksonville or Los Angeles or Miami or New York City or Phoenix or Portland or Sacramento or Salt Lake City or San Diego or Seattle or Washington, D.C. or Ottawa or Toronto or Vancouver or Mexico City
$171k-$257k/yrHybridFull Time
Scribd: Subscription-based digital library for e-books, audiobooks, and documents.
7+ YOE7+ years product management; experience with developer tooling, AI platforms, or internal productivity tools; strong technical fluency; proven cross-functional leadership; ability to define strategy and roadmap.
Flock Safety: Sells AI-powered cameras and software for public safety surveillance.
Proven experience leading product managers for internal tools or platforms, redesigning workflows, making technical tradeoffs with engineering/AI teams, and scaling operational automation.