Jobs / United States / Novartis Pharmaceuticals Corporation
Executive Director, Head of Agentic Factory - 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).
- 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 — 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 The Executive Director, Head of Agentic Factory will lead the Agentic Factory responsible for designing, building, deploying, and scaling AI agents and autonomous workflows that transform commercial operations. This role combines AI engineering, product delivery, and platform leadership to establish reusable agentic capabilities, accelerate innovation, and ensure secure, governed, and measurable business impact across the enterprise. Major Accountabilities • Lead the vision, strategy, and execution of the enterprise Agentic Factory. • Build and scale reusable AI agents, orchestration frameworks, and agent development standards. • Partner with product, engineering, and business leaders to identify and deliver high-value agentic AI use cases. • Establish engineering best practices for LLMs, agent orchestration, evaluation, observability, security, and governance. • Drive adoption of reusable tools, accelerators, and reference architectures that reduce time-to-value. • Lead and develop a high-performing team of AI engineers, platform engineers, and solution architects. • Measure and continuously improve the performance, reliability, and business value of deployed AI agents. Education: Bachelor's or advanced degree in Computer Science, Engineering, Artificial Intelligence, or a related field. Required experience and skill set: • 12+ years of progressive experience leading AI engineering, platform engineering, software engineering, or enterprise technology organizations, including 5+ years leading managers or multidisciplinary technical teams. • Experience scaling AI or data platforms in pharmaceutical, healthcare, life sciences, financial services, or another regulated enterprise. • Proven record scaling generative AI, agentic AI, ML, automation, or platform products from experimentation to production with measurable adoption, reliability, and business value. • Strong technical fluency across LLMs, multi-agent orchestration, RAG, vector/graph databases, APIs, cloud platforms, MLOps / LLMOps , DevSecOps , observability, evaluation, access controls, and enterprise integration patterns. • Demonstrated ability to build reusable engineering standards, reference architectures, accelerators, and developer enablement models that reduce duplication and improve speed-to-value. • Experience managing portfolio prioritization, operating rhythms, technical debt, budget/resource trade-offs, vendor/partner orchestration, and risk governance for enterprise AI capabilities. • Executive-level communication and influence, with ability to align Product, Engineering, Architecture, DDIT, security, legal/privacy, compliance, and business leaders around AI factory strategy and delivery. Preferred experience and skill set: • Experience with commercial operations, customer engagement, omnichannel, field enablement, content, analytics, or other high-value commercial use cases. • Familiarity with Microsoft Azure AI Foundry/OpenAI, Semantic Kernel, Copilot Studio, LangChain / LangGraph , MCP/A2A, telemetry, prompt/model security testing, and AI ROI measurement. • Track record attracting, developing, and retaining scarce AI engineering, architecture, product, and platform talent. • Delivery of agreed product, platform, program, strategy, AI, or knowledge-engineering milestones withi