Cigna Group's Technology Development Program - AI Engineering Track Summer Internship

The Cigna Group’s Technology Development Program (TECDP) Generative AI Summer Internship

Get ready to embark on an exhilarating summer adventure with The Cigna Group’s Technology Development Program Summer Internship! We are on the lookout for passionate individuals who are eager to dive into the world of technology and make a real difference in healthcare. Over the course of 12 dynamic weeks, you’ll have the chance to work on impactful technology projects, receive comprehensive training, and benefit from invaluable mentorship that will supercharge your career.

Meaningful Work:
Contribute within the Artificial Intelligence track by building impactful technical solutions that drive innovation across The Cigna Group while strengthening your real-world skills.

Learn by Collaborating:
Learn by doing alongside peers, mentors, and cross-functional partners through hands‑on projects, recruiting support, innovation efforts, community initiatives, and onboarding experiences.

Structured Learning:
Grow through a blend of core and track‑specific curriculum, including technical training, leadership development, and business exposure to support your development as a well‑rounded technologist.

Community & Connection:
Build strong relationships across the organization through networking, mentorship, cross‑functional collaboration, and informal peer engagement that support both personal and professional growth.

What you need to do the job:
Must be currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field, with a strong emphasis on machine learning methodologies and applications.

• Foundational understanding of machine learning concepts, including supervised and unsupervised learning techniques, with experience applying them through coursework, projects, research, or prior experience.
• Working knowledge of Python and exposure to machine learning or generative AI libraries and frameworks such as Scikit-Learn, Tensor Flow, Keras, PyTorch, Hugging Face, or similar tools.
• Experience in data preprocessing, feature engineering, and data visualization using tools such as Pandas, Num Py, and Matplotlib to prepare data sets for model training.
• Exposure to model evaluation, prompt design, retrieval-augmented generation, large language models, or responsible AI practices through coursework, projects, research, or prior experience is preferred.
• Familiarity with big data technologies and platforms such as Apache Spark or Hadoop is a plus.
• Excellent analytical and problem‑solving abilities, with the capacity to translate complex data into actionable insights through machine learning applications.
• Strong communication skills to convey technical concepts and findings to nontechnical audiences and foster collaboration across teams.
• A proactive attitude toward continuous learning and staying current on machine learning and artificial intelligence technologies.
• A GPA of 3.3 or higher is preferred.

Locations:
The role requires a hybrid work schedule, with a minimum of three days per week working onsite (Tuesday, Wednesday, and one additional day of the employee’s choice), and the option to work the remaining days remotely. Employees must be able to meet the onsite schedule.

Program

Schedule:

You must be available to work a 40-hour work week beginning May 24th, 2027. Working days are Monday – Friday.

Compensation:
The anticipated hourly pay range for this role is $25.00 to $33.00 per hour. Actual compensation will be determined based on factors such as skills, education, experience, and location.

Work Authorization / Visa Sponsorship:
One goal of this leadership development program is to prepare and identify qualified candidates for leadership…