AI/ML Engineering Intern

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere.

Start Date: June 8, 2026

End Date: August 14, 2026

Location: Conshohocken, PA

As Cencora continues to expand its capabilities in artificial intelligence and machine learning, there is a growing need to cultivate early-career talent who can support and grow with our AIPS initiatives. The proposed AI/ML Engineering Intern role is designed to provide senior-year undergraduate students with hands-on experience in real-world AI/ML projects, while also supporting the technical operations of platforms like CenChat and GenIE Platform.

As an AI/ML Engineering Intern, you will support Cencora's AI and ML initiatives by working alongside Cognitive Architects, Business Analysts, and internal stakeholders. This internship offers hands-on experience with intelligent assistants like CenChat and exposure to cutting-edge technologies in machine learning and automation.

We're looking for a curious, motivated intern with a passion for AI/ML who is eager to learn and contribute to real-world projects in a collaborative environment.

Responsibilities:

• Assist in designing and testing prototypes for scalable machine learning infrastructure.
• Support the development of MLOps practices including model training, packaging, deployment, and monitoring.
• Help build and maintain pipelines for ML operations and infrastructure automation.
• Collaborate with AI Architects and ML Engineers to support successful deployment of AI/ML workloads.
• Learn and apply AI algorithms while adhering to architectural standards.
• Participate in troubleshooting and resolving technical issues within ML platforms.
• Analyze business processes and data flows to support model development under guidance.
• Contribute to the development of analytical models that support business growth.
• Help promote adoption of ML solutions using explainable AI techniques.

Qualifications

• Currently pursuing a Bachelor's degree in Computer Science or related field, entering senior year.
• Must not require sponsorship to work in the US, now or in the future
• Exposure to or coursework in AI/ML, Deep Learning, or Computer Vision.
• Familiarity with ML frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn.
• Basic understanding of cloud platforms and data engineering concepts.
• Strong written and verbal communication skills.
• Experience or coursework in Agile/DevOps tools like Azure DevOps or Jenkins is a plus.
• Ability to work in a fast-paced, collaborative environment.

Skills & Attributes

• Passion for AI/ML and enthusiasm for learning new technologies.
• Self-motivated and intellectually curious.
• Ability to research and evaluate technical solutions independently.
• Comfortable with ambiguity and adaptable to changing requirements.
• Strong team player with good interpersonal skills.
• Detail-oriented with solid organizational skills.
• Ability to communicate effectively with both technical and non-technical audiences.

We provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members' ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. For details, visit https://www.virtualfairhub.com/cencora

Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.

The company's continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned