Jobs / United States / Astrazeneca Pharmaceuticals Lp
Director, AI Solution Consulting
Astrazeneca Pharmaceuticals Lp · 🇺🇸 2 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 99 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 Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles15 certified filings for “Associate Director Oncology Outcomes Research” (Medical Scientists, Except Epidemiologists) in MD: $126k–$185k, median $140k. Most were filed at wage level II (47%) — 2 lottery entries, ≈31% 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 — Astrazeneca Pharmaceuticals Lp
The US Department of Labor certified 99 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 Astrazeneca Pharmaceuticals Lp →
About the role
At Evinova, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big, and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person. Evinova is a health-tech business, separate company within the AstraZeneca Group, accelerating the delivery of better health outcomes by propelling the life sciences sector forward in digital health, from the inside. Through our application of science-based expertise, evidence-led rigor, and human experience-driven insight, our digital solutions are deliberately crafted so that everyone can reach better health outcomes together. The Director, AI Solution Consulting is a strategic role responsible for leading AI solution pre-sales and AI consulting service in the China market. Based in Shanghai or Beijing , this individual will work closely with commercial, digital health, product, delivery, and global teams to shape differentiated AI-enabled solutions for pharmaceutical and biotech customers across R&D clinical research. The role requires a combination of strong AI technical depth, consulting credibility, and customer engagement capability — turning complex business problems into practical, scalable, and high-value AI solutions. WHAT THE ROLE INVOLVES Key Responsibilities: • Lead AI solution consulting and pre-sales activities for strategic opportunities across the China market. • Partner with commercial teams to shape opportunities, qualify customer needs, and develop compelling AI solution strategies and proposals. • Act as a trusted advisor to customers, translating business challenges in clinical development into practical AI-enabled solutions. • Lead customer discovery sessions, solution workshops, executive presentations, and technical discussions. • Lead the preparation and delivery of compelling product demonstrations tailored to clients' specific needs, effectively showcasing the benefits and features of Evinova AI solutions. • Manage the creation and upkeep of demo environments to ensure they are up-to-date and aligned with client needs. • Design end-to-end AI solution concepts, covering use cases, data and workflow requirements, model approach, integration, deployment, and governance considerations. • Provide subject matter expertise in modern AI technologies, including LLMs, ML, prompt engineering, RAG, agentic workflows, model evaluation, and AI engineering. • Partner with product management and engineering teams to ensure smooth product releases and alignment with client expectations and requirements. • Work closely with product, engineering, AI/data science, delivery, and compliance teams to ensure solutions are feasible, scalable, and aligned with platform strategy. • Support development of proposals, statements of work, business cases, and executive-level presentation materials. • Advise customers on enterprise AI adoption and transformation, including readiness, prioritisation, deployment options, responsible AI, and risk management. • Stay current on market trends, competitive developments, and emerging AI innovation to strengthen Evinova’s positioning in China. • Represent the company at industry events and conferences, engaging with potential clients and collaborators to promote Evinova AI solutions. SKILLS AND CAPABILITIES NEEDED Qualifications: • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Bioinformatics, Life Sciences, or a related field; advanced degree preferred. • 8+ years of relevant experience in AI technology, solution consulting, pre-sales, enterprise architecture, or digital transformation. • Strong t