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

Cigna; Austin (TX); Hybrid; USD 52,000 - 69,000; Full time

Benefits offered by this job

Hybrid work schedule

Leadership development program

Job summary

The Cigna Group in Austin, TX is launching an AI track development program for students pursuing CS/DS/AI degrees. You will work on meaningful technical solutions, collaborate with mentors, and participate in hands-on projects.

The program blends core and track-specific curriculum, leadership exposure, and cross-functional teamwork. It offers hybrid scheduling, with onsite three days weekly, and a focus on responsible AI practices.

Qualifications

• Must be currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field with emphasis on ML methodologies and applications.
• Foundational understanding of ML concepts, including supervised and unsupervised learning, with application through coursework or projects.
• Working knowledge of Python and exposure to ML libraries/frameworks such as Scikit-Learn, TensorFlow, Keras, PyTorch, Hugging Face, or similar.
• Experience in data preprocessing, feature engineering, and data visualization using Pandas, NumPy, and Matplotlib for model training.
• Exposure to model evaluation, prompt design, retrieval-augmented generation, LLMs, or responsible AI practices is preferred.
• Familiarity with big data technologies such as Apache Spark or Hadoop is a plus.
• Excellent analytical and problem-solving abilities, with the capacity to translate data into actionable ML insights.
• Strong communication skills to convey technical concepts to non-technical audiences.
• Proactive learner with interest in staying current on ML/AI tech.
• GPA of 3.3 or higher is preferred.

Responsibilities

• Contribute within the Artificial Intelligence track by building impactful technical solutions.
• Learn by collaborating with peers, mentors, and cross-functional partners on hands-on projects and onboarding experiences.
• Grow through core and track-specific curriculum, including technical training, leadership development, and business exposure.
• Build relationships across the organization to support personal and professional growth.

Skills

Machine learning concepts

Analytical thinking

Communication skills

Education

Pursuing Bachelor's/Master's in CS/DS/AI or related field

Tools

Python programming

Scikit-Learn

TensorFlow

Keras

PyTorch

Hugging Face

Pandas

NumPy

Matplotlib

Job description

What You Will Do

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.

Qualifications

• 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, TensorFlow, Keras, PyTorch, Hugging Face, or similar tools.
• Experience in data preprocessing, feature engineering, and data visualization using tools such as Pandas, NumPy, 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 non‑technical 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.

Additional Information

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 roles with The Cigna Group upon program completion. Therefore, this position is open only to individuals who are eligible for employment in the United States and who do not now, or in the future, require visa sponsorship including, but not limited to, H-1B, CPT/OPT/STEM.

Pre-Employment Requirements: Selected candidates will be required to complete mandatory pre-employment tasks approximately 45 days prior to the program's start date. Completion of the drug test requires availability within the United States during this timeframe.

Equal Employment Opportunity & Pay Transparency

The Cigna Group is an Equal Opportunity Employer. We are committed to building a diverse, inclusive, and equitable workforce. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity or expression), age, national origin, ancestry, disability, protected veteran status, genetic information, or any other protected characteristic as defined by applicable federal, state, or local laws.

The Cigna Group complies with applicable federal, state, and local laws governing nondiscrimination in employment and provides reasonable ac