Jobs / United States / Cigna Health And Life Insurance Company
Artificial Intelligence Innovation Development Program (AIIDP) Summer Internship
Cigna Health And Life Insurance Company · 🇺🇸 NC, Raleigh, 701 Corporate Center Dr STE 200
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. 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
At The Cigna Group, data, analytics, and artificial intelligence help drive decisions that improve health outcomes, make care more affordable, and create a healthcare system that works better for everyone. The AI Innovation Development Program (AIIDP) Summer Internship provides undergraduate students with the opportunity to explore how AI-powered solutions are developed, tested, and applied in real healthcare and business environments. This internship is designed for students who are curious about emerging technologies, enjoy solving problems, and want hands-on experience turning ideas into meaningful business solutions. The Internship Experience As an intern within the AI Innovation Office, you will gain exposure to a fast-moving, collaborative environment where teams design, test, and evaluate AI-powered solutions. You will work alongside experienced professionals while learning how ideas move from concept to prototype and ultimately create value for customers, clients, and patients. Throughout the internship, you will: • Work alongside team members to support the development of AI-powered solutions. • Learn how ideas progress from concept to prototype through hands-on experience. • Contribute to defined portions of projects, including data exploration, testing, documentation, and solution refinement. • Gain exposure to both technical and business aspects of AI product development. • Learn how organizations evaluate opportunities, manage risk, and measure the impact of AI-powered solutions. • Receive mentorship and guidance from experienced leaders and professionals. • Develop foundational skills that support future careers in AI, analytics, technology, and innovation. This internship is designed to help students build practical skills, explore career interests, and understand how AI is applied in a real-world business environment. What You Will Do • Assist with building and testing simple AI-powered or data-driven solutions. • Help analyze data, identify patterns, and surface potential opportunities or insights. • Support teams in exploring ideas, testing concepts, and improving existing tools or solution components. • Collaborate with team members to understand project objectives and contribute to assigned deliverables. • Learn how AI tools, coding techniques, and structured problem-solving approaches support innovation and experimentation. • Participate in team discussions, brainstorming sessions, demonstrations, and project updates. • Document learnings, summarize findings, and communicate progress effectively. • Gain exposure to responsible AI practices, including considerations related to ethics, governance, privacy, and business value. Qualifications • Currently pursuing a bachelor's degree in a quantitative, analytical, or technical field such as Computer Science, Data Science, Analytics, Mathematics, Engineering, Artificial Intelligence, Information Systems, or a related discipline. • Exposure to programming, data analysis, or technical problem-solving through coursework, academic projects, extracurricular activities, research, or personal learning. • Demonstrated curiosity and interest in artificial intelligence, analytics, technology, and innovation. • Strong problem-solving abilities and willingness to learn. • Ability to collaborate effectively in team environments. • Strong written and verbal communication skills. • Familiarity with Python, SQL, or similar programming and analytics tools. • Experience using generative AI tools through coursework, personal projects, hackathons, research, or extracurricular activities. • Demonstrated initiative through projects, leadership experiences, competitions, or other activities focused on building solutions and driving impact. Additional Informat