Jobs / United States / Cigna Health And Life Insurance Company
Artificial Intelligence Innovation Development Program (AIIDP) - Start Date: July 12, 2027
Cigna Health And Life Insurance Company · 🇺🇸 Raleigh, NC
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
AI Innovation Development Program (AIIDP) – Full-Time Associate At The Cigna Group, data, analytics, and AI shape decisions that improve health outcomes, make care more affordable, and help build a healthcare system that works better for everyone. The AI Innovation Development Program is a program designed to develop early‑career talent into AI product builders who can take ideas from concept to working solutions, not just analyze them. Associates in this program move through three, 12-month rotations within the AI Innovation Office, a small, high-impact team operating in a fast-moving, R&D-style environment to design, prototype, and deliver AI-powered solutions in real healthcare settings. This is a build-first experience for individuals who enjoy creating, testing, and iterating, often with incomplete information. It is best suited for those who want to actively build AI solutions, not just support or observe development efforts. The Program • This is a multi-year development program built around structured rotations. All program opportunities take place within the AI Innovation Office, providing a deeply immersive experience within a single, high-impact environment. • Over the course of the program, you will: • Experience roles within the AI Innovation Office, gaining experience across the full lifecycle of AI product development - from idea to prototype to real-world use • Work in a fast-moving environment where you help identify high-value problems, rapidly test ideas, and iterate based on feedback • Contribute across both technical and product dimensions, including problem framing, prototyping, and solution refinement • Build capability through hands-on experience, mentorship, and real-world problem solving • Partner with mentors, coaches, and program leaders who support your growth and development • This is a build-first experience for individuals who enjoy creating, testing, and iterating. It is best suited candidates who are energized by creating innovative solutions, working directly with stakeholders, and seeing their ideas move from concept to production while shaping the future of AI-enabled products • This program prepares you for a unique role at the intersection of Product development, Generative AI, AI engineering, Data Science, and Data Analytics. As an AI Product Builder, you will work in a forward-deployed model, partnering closely with business leaders and domain experts to identify opportunities, prototype solutions, and translate emerging AI capabilities into measurable business outcomes. Associates gain hands-on experience designing, building, testing, and refining AI-powered products that address real-world healthcare and business challenges What You Will Do • Build AI-powered solutions by applying analytics, data science, and machine learning techniques to real healthcare and business problems • Own pieces of the product development lifecycle - from problem framing to prototype to iteration based on user and stakeholder feedback • Translate ideas into working solutions by collaborating with cross-functional partners to turn concepts into tools that can be tested and used • Use AI tools to accelerate prototyping, coding, and experimentation while building strong technical instincts • Operate in environments where problems are not fully defined, requiring you to test ideas, learn quickly, and adapt in real time • Develop solutions with real-world impact by working with healthcare data under appropriate governance and understanding how your work affects customers and patients Qualifications • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, Information Systems, Data Science, or a related technical field. Equivalent quantitative