Jobs / United States / Cigna Health And Life Insurance Company
Technology Development Program (TECDP) - Artificial Intelligence Track - Start Date: July 12, 2027
Cigna Health And Life Insurance Company · 🇺🇸 4 Locations
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
Technology Development Program (TECDP) – Artificial Intelligence Track - Full Time Associate Our Technology Development Program (TECDP) is a two-year program designed to build technical expertise and a holistic understanding of how technology fuels transformation across the healthcare industry. Associates join a technical track aligned to their interests and career goals, gaining hands-on experience, expanding their technical acumen, and collaborating across disciplines to solve real-world challenges in healthcare. This role is designed to support your transition from academia to industry. The program is ideal for recent graduates and early‑career professionals who are curious, motivated, and eager to apply their academic knowledge in a real-world setting. The Artificial Intelligence Track is designed for individuals passionate about leveraging AI to create intelligent, human‑centered solutions that drive better healthcare outcomes. What you’ll 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 • Education: Must have completed a bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, or related field at the time of hire. • Additional degrees such as Math or Statistics will be considered if paired with coding experience and exposure to AI Code Generation. • Technical Skills: Familiarity with languages such as Python, JavaScript, or R and experience with AI/ML frameworks. Knowledge of Generative AI tools (Copilot, GitHub, Cursor, etc.). • Courses & Experiences: Coursework, research, internships, or projects involving machine learning, large language models (LLMs), generative AI, natural language processing, computer vision, or related AI disciplines. Hands-on application of AI concepts. • AI Forward Mindset: Demonstrated curiosity and enthusiasm for emerging AI technologies and their potential to reshape industries. Interest in ethical AI, responsible innovation, and the intersection of AI and human-centered design. • Well Rounded: Leadership or involvement in clubs, organizations, or technical competitions such as Hackathons, AI challenges, or research symposiums. Desired Skills & Competencies • AI Development Experience: Preferred experience building, fine-tuning, evaluating, or deploying machine learning models, LLM-based applications, AI agents, or generative AI solutions through coursework, research, internships, or personal projects. • Clear Communication: Effectively share ideas with technical and non‑technical audiences. • Collaboration & Inclusion: Build strong relationships and work well on diverse teams. • Critical Thinking: Analyze complex problems and create innovative solutions. • Curiosity: Understand how technology supports healthcare and connects to business goals. • Strength-Based Leadership: Leverage personal and team strengths to drive results. • Growth Mindset: Pursue continuous learning and career development. • Technology Flu