Jobs / United States / Cigna Health And Life Insurance Company
The Cigna Group's Technology Development Program - AI Engineering Track Summer Internship
Cigna Health And Life Insurance Company · 🇺🇸 TX, Austin, 11501 Alterra Pkwy STE 500
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 14 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 30 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Cigna Health And Life Insurance Company paid sponsored hires in similar roles1 certified filing for “Operations Director (Program Director)” (Information Technology Project Managers) in VA: $190k–$190k, median $190k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. The pay stated here ($33.00 per hour) is below what this employer usually pays sponsored hires for this role. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Cigna Health And Life Insurance Company
The US Department of Labor certified 14 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 30 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Cigna Health And Life Insurance Company →
About the role
The Cigna Group’s Technology Development Program (TECDP) Generative AI 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. 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 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, 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 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. 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