Director, AI Solution Consulting

Posted 12 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Senior level
Biotech • Pharmaceutical
The Role
Leads AI solution consulting and pre-sales for pharmaceutical and biotech customers in China. Designs scalable AI solutions for clinical development, conducts customer discovery, workshops, demonstrations, executive presentations, and proposals. Advises clients on enterprise AI adoption, deployment, governance, responsible AI, and risk management while partnering with product, engineering, data science, delivery, compliance, and global teams. Requires deep expertise in LLMs, machine learning, agentic AI, solution architecture, and regulated clinical research environments.
Summary Generated by Built In

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 technical depth in LLMs, ML, transformer architecture, model training/fine-tuning, agentic AI engineering, solution architecture, and enterprise AI deployment.
  • Proven experience in AI solution pre-sales, consulting and solution design, with a strong track record of customer-facing engagement.
  • Ability to translate complex technical concepts into clear business value for senior business and technical stakeholders.
  • Good understanding of clinical development workflows, trial operations, and digital clinical systems is highly desirable.
  • Strong executive presence and ability to work effectively across a local and global matrix organisation.
  • Strong consulting, problem-solving, and structured communication skills.
  • Well-developed senior stakeholder management skill with proven problem-solving, collaboration and interpersonal leadership skills.
  • Excellent written and verbal communication skills, with the ability to deal with ambiguity and create clarity.
  • Fluent English and Mandarin, both of which must be usable as working languages.
  • Willingness and ability to travel up to 30%, including both domestic and international travels.
  • AI-first Mentality, result-driven and ’Can-do’ attitude.
  • Experience in life sciences, pharmaceutical R&D, clinical research, healthcare technology, or other regulated industries is strongly preferred.
  • Deep knowledge of ICH E6 R3 Good Clinical Practice, FDA 21 CFR part 11, EU GDPR, EU AI Act and China Generative AI Measures is highly preferred.
  • Hands-on experience implementing or governing CDISC standards (CDASH, SDTM, ADaM) and USDM (Unified Study Definitions Model) in clinical data management or regulatory submission workflows is highly preferred.
  • MBA is preferred coupled with prior experience implementing leading life sciences software products.

Why Evinova (AstraZeneca)?

Evinova draws on AstraZeneca’s deep experience developing novel therapeutics, informed by insights from thousands of patients and clinical researchers. Together, we can accelerate the delivery of life-changing medicines, improve the design and delivery of clinical trials for better patient experiences and outcomes, and think more holistically about patient care before, during, and after treatment.  We know that regulators, healthcare professionals, and care teams at clinical trial sites do not want a fragmented approach. They do not want a future where every pharmaceutical company provides its own, different digital solutions. They want solutions that work across the sector, simplify their workload, and benefit patients broadly. By bringing our solutions to the wider healthcare community, we can help build more unified approaches to how we all develop and deploy digital technologies, better serving our teams, physicians, and ultimately patients.  Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector.  Join us on our journey of building a new kind of health tech business to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting-edge methods, and bringing unexpected teams together. Interested? Come and join our journey.

So, what’s next?

Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.

Where can I find out more?

Our Social Media, Follow Evinova on LinkedIn https://www.linkedin.com/company/evinova/

Learn more about Evinova www.evinova.com

Date Posted

29-9月-2026

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Skills Required

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Bioinformatics, Life Sciences, or a related field
  • 8+ years of relevant experience in AI technology, solution consulting, pre-sales, enterprise architecture, or digital transformation
  • Strong technical depth in LLMs, machine learning, transformer architecture, model training and fine-tuning, agentic AI engineering, solution architecture, and enterprise AI deployment
  • Proven experience in AI solution pre-sales, consulting, and solution design with customer-facing engagement
  • Ability to translate complex technical concepts into business value for senior business and technical stakeholders
  • Strong executive presence and ability to work across local and global matrix organizations
  • Strong consulting, problem-solving, structured communication, stakeholder management, collaboration, and interpersonal leadership skills
  • Excellent written and verbal communication skills
  • Fluency in English and Mandarin as working languages
  • Willingness and ability to travel up to 30%, including domestic and international travel
  • Understanding of clinical development workflows, trial operations, and digital clinical systems
  • Experience in life sciences, pharmaceutical R&D, clinical research, healthcare technology, or regulated industries
  • Knowledge of ICH E6 R3 Good Clinical Practice, FDA 21 CFR Part 11, EU GDPR, EU AI Act, and China Generative AI Measures
  • Hands-on experience implementing or governing CDISC standards including CDASH, SDTM, ADaM, and USDM
  • Advanced degree
  • MBA with experience implementing leading life sciences software products

AstraZeneca Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AstraZeneca and has not been reviewed or approved by AstraZeneca.

  • Fair & Transparent Compensation — Pay is considered competitive across many roles when total rewards are factored in. Senior scientific and leadership bands are described with high ranges that reinforce competitiveness at upper levels.
  • Strong & Reliable Incentives — Bonuses, equity eligibility in many salaried roles, and solid sales on‑target earnings with upside are emphasized as meaningful parts of compensation. These elements boost overall value even where base pay is not the very highest.
  • Retirement Support — A 401(k) program with a strong company match and immediate vesting is repeatedly cited as a standout. Generous retirement support is viewed as enhancing the total package relative to peers.

AstraZeneca Insights

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The Company
HQ: Gaithersburg, MD
70,000 Employees
Year Founded: 1999

What We Do

We're transforming the future of healthcare by unlocking the power of what science can do for people, society and the planet.

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