Generative AI Summer Internship - Hybrid & Mentored

Cigna Health and Life Insurance Company; Austin (TX); Hybrid; USD 34,000 - 45,000; Full time

Job summary

The Cigna Group offers a Generative AI Summer Internship as part of its Technology Development Program. You will contribute to AI-focused projects, collaborate with mentors and cross-functional teams, and participate in a mixed curriculum blending technical training and leadership development.

Applicants must be pursuing a related degree with ML focus, and the program runs for 12 weeks with a hybrid onsite/remote setup in the United States. The role pays hourly and requires US work eligibility.

Qualifications

• Pursuing a degree in Computer Science, Data Science, AI or related field with emphasis on ML.
• Foundational ML concepts including supervised/unsupervised learning.
• Experience with Python and ML libraries/frameworks.
• Experience preprocessing data and visualizing with Pandas/NumPy/Matplotlib.
• Exposure to model evaluation, RAG, LLMs, or responsible AI preferred.
• Familiarity with big data tech like Spark/Hadoop a plus.
• Strong analytical and problem-solving abilities; ability to translate data into insights.
• Effective communication to convey technical concepts to nontechnical audiences.
• GPA 3.3+ preferred.

Responsibilities

• Contribute to AI track by building technical solutions that drive innovation.
• Collaborate with peers, mentors, and cross-functional partners on hands-on projects.
• Engage in structured learning with core and track curricula, including training and leadership development.
• Network and build relationships across the organization through mentorship and teamwork.

Skills

Python

Machine learning

Data preprocessing

Data visualization

Communication

Learning mindset

Education

Pursuing degree in Computer Science/Data Science/AI

Tools

Scikit-Learn

TensorFlow

Keras

PyTorch

Hugging Face

Job description

The Cigna Group offers a Generative AI Summer Internship as part of its Technology Development Program. You will contribute to AI-focused projects, collaborate with mentors and cross-functional teams, and participate in a mixed curriculum blending technical training and leadership development.

Applicants must be pursuing a related degree with ML focus, and the program runs for 12 weeks with a hybrid onsite/remote setup in the United States. The role pays hourly and requires US work eligibility.