Jobs / United States / Cigna Health And Life Insurance Company
AI/ML Engineer Intern
Cigna Health And Life Insurance Company · 🇺🇸 3 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.
- Last confirmed live 1 day agoWhen 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
Make an Impact with AI/ML Engineering Bring your curiosity, engineering skills, and bold ideas to Evernorth Health Services, a division of The Cigna Group. This internship is a foundational development opportunity for emerging AI/ML engineers ready to build scalable solutions for meaningful health care challenges. You will contribute to strategically important work, learn alongside ambitious and compassionate experts, and explore how modern AI, data, cloud, and software engineering can improve health outcomes and business decisions. This is more than a summer project. Solutions developed by our teams have evolved into enterprise capabilities supporting critical business functions, and several projects have contributed to innovative intellectual property and patent filings. You will gain exposure to the full AI lifecycle while building relationships through professional development, networking, and collaboration with experienced engineers, data scientists, architects, and business stakeholders. Responsibilities • Build and improve reusable machine learning frameworks that accelerate model development and production deployment. • Design scalable data pipelines and feature-engineering solutions using Python, SQL, Spark, Databricks, or related technologies. • Develop production-ready APIs, cloud-native services, and intelligent applications that make AI capabilities easier to use across the enterprise. • Contribute to MLOps automation, containerized deployment, monitoring, and reliable engineering practices that improve speed, quality, and repeatability. • Work with large health care datasets, including pharmacy and medical claims, member information, call transcripts, surveys, and web logs, to identify actionable opportunities. • Partner with technical and business stakeholders to translate complex needs into scalable, responsible solutions and communicate outcomes clearly. • Explore generative AI, agentic AI, retrieval-augmented generation, document intelligence, or real-time prediction while seeking feedback and documenting what you learn. Past projects have included Spark and Databricks feature-engineering platforms; AI/ML experimentation frameworks; MLOps and deployment automation; agentic and generative AI applications; enterprise chatbots; retrieval-augmented generation and document intelligence platforms; and real-time prediction services. Required Qualifications • Pursuing a master's degree or PhD in computer science, statistics, applied mathematics, engineering, operations research, bioinformatics, information systems, computational linguistics, or another quantitative field. • At least 1 year of hands-on machine learning, data engineering, analytics, or software engineering experience gained through coursework, research, internships, or professional projects. • Working knowledge of Python and SQL, with experience preparing data or building technical solutions. • Experience developing or supporting machine learning, data engineering, or software engineering solutions through academic or applied projects. • Ability to explain technical work clearly, collaborate across disciplines, and adapt based on feedback and new information. Preferred Qualifications • Experience with scikit-learn, MLlib, TensorFlow, PyTorch, AWS, Apache Spark, Databricks, PySpark, or Spark SQL. • Experience developing APIs with FastAPI or Flask and using CI/CD tools such as Jenkins or GitHub Actions. • Exposure to Docker, Kubernetes, Hive, Scala, HDFS, or other distributed computing and containerization technologies. • Previous software engineering experience and a 3.0 GPA or higher with strength in quantitative coursework. Additional Information Location: This internship follows a hybrid schedule with thr