AI Software Engineering Undergraduate Intern

About This Role

• Are you passionate about turning data and artificial intelligence into transformative real-world solutions? Intel's Artificial Intelligence and Data Analytics (AIDA) organization within Global IT is looking for a driven, curious, and proactive AI Software Engineering Undergraduate Intern.
• In this role, you will join a high-performing global engineering team delivering next-generation AI, machine learning, and advanced analytics capabilities directly to Intel's core business units-including Sales and Marketing, Finance, Trade, and Legal.
• As an intern, you will contribute to the design, implementation, and optimization of end-to-end data workflows, machine learning models, Generative AI capabilities, and scalable architectures.
• You will develop both technical mastery and professional consulting acumen by solving real enterprise challenges in a collaborative, agile environment.
• The primary responsibilities for this role will include, but are not limited to: Build and Deploy AI/Data Solutions: Contribute to the end-to-end development, integration, testing, and deployment of business intelligence, machine learning, and generative AI solutions.
• Agile Engineering Collaboration: Actively participate as an embedded member of an Agile Persistent Team, attending sprint ceremonies, refining user stories with Scrum Masters and Product Owners, and delivering sprint commitments.
• Architecture and Technical Decision-Making: Participate in technical discussions, architectural evaluations, and code reviews alongside senior engineers and technical leads.
• Process Documentation: Maintain high-quality technical documentation, including data pipelines, API specifications, runbooks, and workflow diagrams to ensure solution maintainability.
• Continuous Improvement and System Health: Troubleshoot production issues, analyze root causes, and implement performance optimizations to meet reliability, scalability, and system-health targets.
• Value and Performance Tracking: Support the definition and implementation of operational metrics and performance KPIs across existing and emerging software solutions.
• DevOps and Standards: Leverage industry-standard engineering practices, including version control, automated testing, CI/CD pipelines, and DevOps workflows.
• A successful candidate will have proven experience demonstrating the following skills and behavioral traits: Ownership and Accountability: A proactive mindset with a strong sense of urgency, high personal standards, and commitment to project delivery.
• Navigating Ambiguity: Comfort working with evolving requirements and the adaptability to pivot as business needs shift.
• Effective Collaboration: Strong interpersonal skills and a collaborative spirit within globally distributed, diverse teams.
• Clear Communication: Excellent verbal and written English communication skills to present ideas clearly to technical and non-technical stakeholders.
• Passion for Growth: A continuous-learning mindset with natural curiosity and enthusiasm for exploring emerging AI and cloud technologies.