Jobs / United States / Novartis Pharmaceuticals Corporation
Executive Director, Agentic Lab and Architecture Lead - Remote
Novartis Pharmaceuticals Corporation · 🇺🇸 Remote Position (USA) · Remote
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 75 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 31 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 Novartis Pharmaceuticals Corporation paid sponsored hires in similar roles23 certified filings for “Director, Forecasting-CV” (Data Scientists) in NJ: $170k–$170k, median $170k. Most were filed at wage level IV (83%) — 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 — Novartis Pharmaceuticals Corporation
The US Department of Labor certified 75 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 31 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 Novartis Pharmaceuticals Corporation →
About the role
Job Description Summary This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the Hiring Manager. This position may require 10% plus travel. Job Description Reporting to the ED, Head of Agentic Factory, the Executive Director, Agentic Lab and Architecture Lead defines the technical architecture, standards, and innovation roadmap for enterprise agentic AI capabilities. The role leads the Agentic Lab to prototype, validate , and industrialize next-generation AI agent technologies, while establishing reusable architectural patterns that enable secure, scalable, governed deployment across the enterprise. Responsibillities: Enterprise agentic AI architecture and standards • Define the technical architecture, reference patterns, and engineering standards for enterprise agentic AI capabilities, ensuring alignment with approved platform, security, Responsible AI, and data governance requirements. • Establish reusable patterns for agent orchestration, memory, evaluation, observability, tool use, RAG, APIs, and integration with enterprise systems. Agentic Lab strategy, prototyping, and validation • Lead the Agentic Lab innovation roadmap, focused on rapid experimentation, technical validation, and controlled incubation of high-potential agentic AI technologies. • Evaluate foundation models, agent frameworks, orchestration technologies, developer tooling, and emerging technical approaches for enterprise applicability. Reusable capabilities, accelerators, and reference implementations • Build reusable proof-of-concepts, accelerators, architectural blueprints, and reference implementations that shorten time-to-value for the Agentic Factory and broader SPT product teams. • Drive adoption of shared technical assets and standards that prevent one-off builds, reduce duplication, and improve scalability across AI agent solutions. Industrialization and transition to enterprise scale • Partner with AI Engineering, Platform Engineering, Product, Architecture, DDIT, security, and business teams to move validated prototypes into production-ready enterprise capabilities. • Ensure successful transition from lab validation to scaled implementation, including architecture readiness, technical documentation, risk assessment, and operating model handoff. Responsible AI, risk, and compliance by design • Embed Responsible AI, security, privacy, accessibility, data governance, regulatory, and quality expectations into agentic AI architectures and lab validation methods from the start. • Define evaluation and monitoring expectations for reliability, explainability, performance, user safety, human oversight, and business value realization of AI agents. Technical leadership and capability building • Lead, coach, and develop technical talent across agentic architecture and lab activities, fostering disciplined experimentation, engineering excellence, and continuous learning. • Communicate technical direction, architectural decisions, trade-offs, risks, and investment needs to senior stakeholders in clear, executive-ready language. Education: Bachelor's or advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related technical discipline. Required experience: • 12+ years of experience designing enterprise software platforms, AI architectures, data/AI products, or cloud-native engineering capabilities, including executive-level technical leadership responsibilities. • Deep architecture expertise across LLMs, agent frameworks, mul