Jobs / United States / Pfizer INC
Vice President, Applied AI & Architecture - US Commercial
Pfizer INC · 🇺🇸 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 40 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 9 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.
- 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).
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Sponsor Radar — Pfizer INC
The US Department of Labor certified 40 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 9 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 Pfizer INC →
About the role
WHY THIS ROLE MATTERS Realizing the value of AI across the CMO requires more than individual products and use cases. It requires a clear technical vision for how AI, data, platforms, applications, and business workflows work together across the organization. This role ensures that AI investments are technically sound, reusable, integrated, and aligned with Pfizer’s enterprise environment. By establishing a coherent applied AI architecture and providing technical leadership across major transformation initiatives, the Vice President will accelerate delivery while reducing duplication, fragmentation, and long-term technical debt. CANDIDATE PROFILE This is a senior technical leadership role for an executive who combines deep applied AI expertise with enterprise architecture, business judgment, and the ability to influence across organizational boundaries. · Applied AI expertise: Deep knowledge of modern AI, including generative AI, agentic systems, machine learning, retrieval architectures, evaluation, observability, and human-agent collaboration. · Enterprise architecture: The ability to connect AI, data, platforms, applications, integrations, and workflows into a coherent enterprise architecture. · Transformation fluency: Experience translating business transformation priorities into technical strategies, solution designs, and capability roadmaps. · Executive influence: The ability to establish technical direction and decision authority across teams that do not report directly to this role. This leader is not expected to be the primary engineering-delivery executive or portfolio-delivery owner. They must remain close enough to the technology to challenge assumptions, evaluate designs, resolve complex technical decisions, and maintain credibility with senior architects and engineers. ROLE RESPONSIBILITIES 1. Define the Applied AI Strategy · Define and evolve the applied AI strategy supporting CMO and Commercial priorities. · Translate business and transformation ambitions into a clear technical direction and capability roadmap. · Identify where AI can create differentiated value and where traditional technology or process solutions are more appropriate. · Establish principles for using generative AI, agentic systems, machine learning, intelligent automation, and human-in-the-loop models. · Advise senior leaders on emerging AI capabilities, limitations, risks, and strategic implications. 2. Own the Target AI Architecture · Define the target architecture connecting AI capabilities, commercial data, enterprise platforms, applications, workflows, and user experiences. · Establish the architectural patterns required to build scalable, secure, reusable, and interoperable AI solutions. · Ensure major initiatives contribute to a coherent technical ecosystem rather than creating stand-alone tools. · Guide architecture across the AI forward evolution of the commercial org, transformation of existing capabilities around commercial strategy, and other priority initiatives. · Maintain clear architectural boundaries, integration principles, and technical decision rights. 3. Provide Technical Direction for the AI forward future · Serve as the senior applied AI and architecture leader for the AI evolution workstreams · Translate the vision and product priorities into an integrated AI and technology architecture. · Define how AI capabilities connect with commercial data, analytics, enterprise platforms, customer workflows, and digital experiences. · Establish reusable architecture and solution patterns that can support multiple products, brands, functions, and markets. · Partner with business, product, data, Digital, and engineering leaders to ensure technical choices enable the intended