Jobs / United States / CVS Pharmacy INC
Senior Software Development Engineer AI
CVS Pharmacy INC · 🇺🇸 10 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 191 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 217 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 CVS Pharmacy INC paid sponsored hires in similar roles48 certified filings for “Sr Software Development Engineer” (Software Developers) in TX: $142k–$174k, median $156k. Most were filed at wage level IV (46%) — 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 — CVS Pharmacy INC
The US Department of Labor certified 191 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 217 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 CVS Pharmacy INC →
About the role
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We are seeking an experienced AI / LLM Engineer to design, develop, and operationalize advanced language model–powered applications for enterprise use cases. This role will focus on building text-based reasoning systems, Retrieval-Augmented Generation (RAG) pipelines, and scalable prompt engineering frameworks that enhance decision-making, automation, and knowledge discovery across the organization. As a key member of a cross-functional team, you will collaborate with business stakeholders to translate business requirements into reliable, explainable, and production-ready AI solutions. You will play a critical role in shaping enterprise AI capabilities by ensuring solutions are secure, responsible, and optimized for real-world performance. Required Qualifications • Strong programming experience in Python and familiarity with software engineering best practices. • Hands-on experience building production-grade AI/ML systems, not just prototypes. • Experience working with Large Language Models (LLMs) and APIs. • Solid understanding of: • Natural Language Processing (NLP) fundamentals • Machine learning concepts (training, evaluation, overfitting, bias) • Practical experience with: • Retrieval-Augmented Generation (RAG) systems • Prompt engineering and prompt optimization • Embeddings and vector search • Experience designing and implementing APIs, microservices, or distributed systems. • Familiarity with model evaluation techniques and performance metrics. • Strong debugging and problem-solving skills in complex systems. Preferred Qualifications • Experience with LLM platforms such as OpenAI, Anthropic, Google Vertex AI, or similar. • Familiarity with orchestration frameworks like LangChain, LlamaIndex, Semantic Kernel, or equivalent. • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, MongoDB Atlas Vector Search). • Knowledge of MLOps practices, including CI/CD pipelines for AI systems. • Experience deploying solutions in cloud environments (e.g., AWS, Azure, GCP). • Exposure to agent-based architectures or multi-step AI workflows. • Experience in financial services enterprise environments (or similar data-intensive industries). • Experience with evaluation frameworks and benchmarking for LLMs. Tools and Technologies • Programming: Python (primary), SQL • LLM Platforms: OpenAI, Anthropic, Google Vertex AI • Frameworks: LangChain, LlamaIndex, Semantic Kernel • Vector Databases: Pinecone, Weaviate, FAISS, MongoDB Atlas Vector Search • Data Processing: Spark, Pandas • APIs & Services: FastAPI, Flask, REST/gRPC • Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP) • DevOps & MLOps: Docker, Kubernetes, CI/CD tools • Monitoring & Evaluation: Prompt evaluation tools, logging frameworks, observability platforms Education Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $83,430.00 - $203,940.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography