Jobs / United States / Novartis Pharmaceuticals Corporation
Director, AI Foundations Engineering (2 Openings)
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 roles3 certified filings for “Director, AI Use Case Lead” (Computer and Information Research Scientists) in NJ: $186k–$186k, median $186k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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.
Or apply yourself on the official page →
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 #LI-Remote The Director, AI Foundations Engineer will drive the engineering strategy, delivery, and operational excellence for the organization’s agentic AI operating system, with responsibility spanning solution architecture, development, operations, and continuous improvement. This role will be central to enabling the transformation of existing processes, products, and services into agentic AI products and intelligent workflows by providing a scalable, secure, and high performing foundation. The ideal candidate will bring deep engineering leadership, systems thinking, and technical vision to guide the design and evolution of core agentic capabilities, establish engineering standards and operating models, and lead cross functional teams in delivering resilient and extensible AI services. Working closely with product leaders, business stakeholders, data and technology teams, and transformation leaders, this role will ensure the agentic systems accelerate innovation, support enterprise adoption, and delivers measurable business value through reliable and scalable execution. This position can be based remotely anywhere in the U.S. 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. There are 2 positions available. Job Description Key Responsibilities: • Lead the design and development and ongoing improvement of the organization's AI foundations that will enable use cases through a disciplined engineering approach • Define and implement an agentic AI foundational system, engineering standards, and development practices that promote scalability, reliability, repeatability, and continuous improvement • Partner with product, data, infrastructure, security, and business teams to align platform capabilities with enterprise needs and strategic priorities. • Oversee engineering teams in building reusable platform services, tools, and components that enable agentic AI products and workflows. • Drive modernization and integration efforts to connect existing systems and processes with AI capabilities. • Monitor agentic operations and user feedback to identify improvements, resolve issues, and support continuous optimization. • Establish effective operating models, support processes, and governance practices to ensure consistent delivery of AI capabilities • Communicate platform priorities, delivery progress, technical risks, and investment needs to senior leaders and cross functional stakeholders. Essential Requirements: • Bachelor degree required and advanced degree preferred, ideally in business, engineering, computer science, data science, or a related field. • 8 plus years of AI engineering experience, with a strong track record of leading product strategy, roadmap development, and delivery for complex digital, data, or AI enabled products. • Demonstrated experience in AI and data driven product environments, including translating business needs into scalable product solutions and partnering closely with technical teams to bring innovative products to market. • Strong cross functional leadership skills, with proven ability to collaborate effectively across Engineering, Innovation, Design, Data Science, Commercial, and other business teams to drive alignment and execution. • Experience managing and developing product managers or junior product leaders, including coaching, prioritization support, and fostering strong product management practices. • Excellent strategic, analytical, and communication skills, with the ability to evaluate opportunities, make informed tradeoffs, and clearly communicate product vision, priorities, and outcomes to stakeholders. Novartis Comp