Jobs / United States / CVS Pharmacy INC
Senior Manager - Software Development Engineering
CVS Pharmacy INC · 🇺🇸 7 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 roles1 certified filing for “AVP, Software Development Engineering” (Computer and Information Systems Managers) in AZ: $310k–$310k, median $310k. 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 — 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 a highly experienced Senior Technology Manager to lead the Finance Technology AI Enablement engineering team, responsible for architecting and building best-in-class AI solutions while enabling business and IT partners in their AI adoption journey. In this role, you will provide strategic direction to the engineering team, champion engineering best practices, and drive the end-to-end delivery and enablement of AI solutions across the enterprise. The Finance Technology AI Enablement team helps the business strategize, evaluate, define, and prioritize complex enterprise initiatives — designing and building them into AI-enabled, transformative solutions. This role requires building strong relationships with business stakeholders and domain-specific IT application development teams, working collaboratively to advance AI-driven transformation and deliver measurable results. You will oversee and execute multiple concurrent AI initiatives, delivering value across various business domains in a fast-paced, dynamic environment. Key Responsibilities • Lead, mentor, and grow a high-performing engineering team focused on AI/ML and GenAI solution delivery. • Set strategic technical direction for the AI Enablement team, advocating for engineering best practices, scalable architecture, and responsible AI development. • Partner with business leaders and domain-specific IT teams to translate business requirements into actionable technical roadmaps and solutions. • Oversee end-to-end delivery of multiple concurrent AI initiatives, from ideation through production deployment and adoption. • Drive the design and development of AI/ML and GenAI solutions. • Champion the use of low-code/no-code platforms (e.g., Microsoft Copilot Studio, Power Automate) and Claude Skills alongside traditional full-stack development to accelerate solution delivery. • Establish and enforce DevOps, CI/CD, and data governance practices to ensure reliable, secure, and compliant delivery. • Operate within a regulated enterprise environment, ensuring solutions align with formal architecture, security, privacy, audit, and enterprise governance standards. • Act as a trusted advisor to business and IT partners on AI adoption strategy, use case evaluation, and solutioning. • Build and maintain strong cross-functional relationships, fostering collaboration between engineering, business, and governance stakeholders. • Report on program progress, risks, and value delivered to senior leadership. Required Qualifications • 8+ years of people management experience, including building, leading, and developing high-performing engineering teams. • 5+ years of hands-on software development experience in cloud and distributed environments using modern technology stacks. • Demonstrated experience building AI/ML solutions, including exposure to GPT/Gemini/Claude LLM models, Vertex AI, RAG, GenAI, agentic AI workflows and orchestration. • Proficiency in Python and full-stack development, including designing and building APIs. • Hands-on experience with cloud platforms (Azure, GCP) and container orchestration using Kubernetes. • Experience working with vector databases in support of AI/ML and GenAI solutions. • Experience with major cloud AI/ML platforms (e.g., Google Cloud Vertex AI, Azure OpenAI, AWS Bedrock)