Director, Group Head (AI Systems & Scale)

Novartis
Novartis logo
Location
Cambridge (USA)
Job Type
Full-time
Posted
June 4, 2026
Views
5

Job Description

Job Description Summary

Job Title: Director & Group Head (AI Systems & Scale)
LinkedIn Tag: #LI-Hybrid
Location: Cambridge, USA
Relocation Support: This role is based in Cambridge, USA. Novartis is unable to offer relocation support: please only apply if accessible.

Novartis has embraced a bold strategy to drive a company-wide digital transformation. Our objective is to position Novartis as an industry leader by proactively adopting digital technologies that foster innovative approaches to hasten drug discovery and development. By utilizing both internal and external R&D data with the power of data science, predictive models, generative AI, and machine learning, our objective is to identify new targets, create more effective therapeutic molecules, better predict drug pharmacokinetics and safety risks, refine clinical trial design, and significantly shorten development cycles. The AI4R team leads Novartis Biomedical Research (BR) in exploring and applying advanced AI and ML methodologies to generate novel drug discovery insights, and to speed and improve drug discovery efficiency whilst focusing on patients’ needs.

AI4R partners with drug discovery teams, raises the level of AI expertise across Biomedical Research (BR) and ensures that BR science keeps up with the rapidly evolving ecosystem of AI technologies by connecting with AI leaders in academia and industry.

This is a leadership role for the AI Systems & Scale group within AI4R and will be tasked with strong technical and project leadership, critical assessment and specialized deployment of compute, data, model, code and agentic platforms for rapid enablement and adoption of AI approaches, algorithms, models and workflows to maximize impact on key domains areas of biomedical research that will potentially lead to developing better drugs, faster.


Job Description

Step into a leadership role shaping the future of AI at scale, where advanced agentic systems and enterprise AI platforms transform how biomedical research is delivered. As Director & Group Head (AI Systems & Scale), you will drive the design and deployment of next-generation AI systems, enabling scientists to seamlessly leverage data, models, and intelligent workflows to accelerate drug discovery. You will lead high-performing engineering teams, define scalable architectures, and ensure AI solutions are robust, governed, and impactful—bringing innovative therapies closer to patients faster.

Key Responsibilities

  • Define and lead the multi-year roadmap for scalable AI systems, platforms, and agentic architectures across research.
  • Lead and scale multidisciplinary teams delivering production-grade AI systems and intelligent applications.
  • Establish reference architectures for agentic systems, including orchestration, retrieval, memory, and human-in-the-loop controls.
  • Build and standardize enterprise agentic platforms with reusable components, workflows, and evaluation frameworks.
  • Define and enforce machine learning operations and large language model operations standards across AI systems development.
  • Own agent quality and safety engineering, including guardrails, policy enforcement, and failure detection mechanisms.
  • Drive scalable deployment strategies, ensuring performance, reliability, cost efficiency, and multi-tenant architecture.
  • Define performance metrics linking system effectiveness to scientific outcomes, including accuracy, robustness, and efficiency.
  • Partner with data, security, and platform teams to ensure governance, compliance, and responsible data usage.
  • Drive cross-functional collaboration and portfolio management to prioritize high-impact AI system initiatives and reduce duplication.

Essential Requirements

Job Description Summary

Job Title: Director & Group Head (AI Systems & Scale)
LinkedIn Tag: #LI-Hybrid
Location: Cambridge, USA
Relocation Support: This role is based in Cambridge, USA. Novartis is unable to offer relocation support: please only apply if accessible.

Novartis has embraced a bold strategy to drive a company-wide digital transformation. Our objective is to position Novartis as an industry leader by proactively adopting digital technologies that foster innovative approaches to hasten drug discovery and development. By utilizing both internal and external R&D data with the power of data science, predictive models, generative AI, and machine learning, our objective is to identify new targets, create more effective therapeutic molecules, better predict drug pharmacokinetics and safety risks, refine clinical trial design, and significantly shorten development cycles. The AI4R team leads Novartis Biomedical Research (BR) in exploring and applying advanced AI and ML methodologies to generate novel drug discovery insights, and to speed and improve drug discovery efficiency whilst focusing on patients’ needs.

AI4R partners with drug discovery teams, raises the level of AI expertise across Biomedical Research (BR) and ensures that BR science keeps up with the rapidly evolving ecosystem of AI technologies by connecting with AI leaders in academia and industry.

This is a leadership role for the AI Systems & Scale group within AI4R and will be tasked with strong technical and project leadership, critical assessment and specialized deployment of compute, data, model, code and agentic platforms for rapid enablement and adoption of AI approaches, algorithms, models and workflows to maximize impact on key domains areas of biomedical research that will potentially lead to developing better drugs, faster.


Job Description

Step into a leadership role shaping the future of AI at scale, where advanced agentic systems and enterprise AI platforms transform how biomedical research is delivered. As Director & Group Head (AI Systems & Scale), you will drive the design and deployment of next-generation AI systems, enabling scientists to seamlessly leverage data, models, and intelligent workflows to accelerate drug discovery. You will lead high-performing engineering teams, define scalable architectures, and ensure AI solutions are robust, governed, and impactful—bringing innovative therapies closer to patients faster.

Key Responsibilities

  • Define and lead the multi-year roadmap for scalable AI systems, platforms, and agentic architectures across research.
  • Lead and scale multidisciplinary teams delivering production-grade AI systems and intelligent applications.
  • Establish reference architectures for agentic systems, including orchestration, retrieval, memory, and human-in-the-loop controls.
  • Build and standardize enterprise agentic platforms with reusable components, workflows, and evaluation frameworks.
  • Define and enforce machine learning operations and large language model operations standards across AI systems development.
  • Own agent quality and safety engineering, including guardrails, policy enforcement, and failure detection mechanisms.
  • Drive scalable deployment strategies, ensuring performance, reliability, cost efficiency, and multi-tenant architecture.
  • Define performance metrics linking system effectiveness to scientific outcomes, including accuracy, robustness, and efficiency.
  • Partner with data, security, and platform teams to ensure governance, compliance, and responsible data usage.
  • Drive cross-functional collaboration and portfolio management to prioritize high-impact AI system initiatives and reduce duplication.

Essential Requirements

  • Demonstrated experience leading machine learning capability development initiatives across multiple drug discovery domains and teams.
  • Strong experience applying machine learning across functional areas such as computational chemistry or protein modeling.
  • Proven expertise in large model training, including high-performance computing, cloud environments, and distributed systems.
  • Deep curiosity and passion for biomedical sciences and therapeutic discovery.
  • Strong ability to explain complex machine learning concepts clearly to both technical and non-technical stakeholders.
  • Minimum of 10+ years of experience in innovation, development, deployment, and support of machine learning solutions.
  • Strong coding proficiency in Python and deep learning frameworks, with experience using version control systems.
  • Proven ability to manage complexity, align stakeholders, and deliver results in matrixed environments.

Desirable Requirements

  • Experience building enterprise-scale agentic platforms with orchestration, memory, and retrieval systems.
  • Expertise in machine learning operations and large-scale model deployment with monitoring and drift detection.

Compensation and Benefits

Novartis Compensation and Benefit Summary

The salary for this position is expected to range between 1,94,600.00 - 3,61,400.00 USD Annual.

The final salary offered is determined based on factors such as relevant skills and experience and will be reviewed periodically upon joining Novartis. Novartis may update the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility for annual equity awards.

US-based eligible associates receive a comprehensive benefits package that includes health, life, and disability coverage, a 401(k) plan with company contribution and matching, and a range of additional benefits. Associates are also eligible for a generous time-off package, including vacation, personal days, holidays, and other leave options. To learn more about the culture, rewards and benefits we offer our peopleclick here.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


Salary Range

$1,94,600.00 - $3,61,400.00


Skills Desired

Agile (Programming Methodology), Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Stakeholder Engagement, Statistical Analysis, Time Series Analysis, Vision, Visualization

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See 6 open roles · Verified H-1B salary data · Clinical-trial hiring momentum · Culture, benefits & locations.

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Frequently Asked Questions

Where is the job located, and what is the work-mode policy?
This position is located in Cambridge, USA, and operates under a hybrid work model.
Is relocation support or visa sponsorship offered for this position?
Novartis does not offer relocation support for this role; applicants must already be accessible to the Cambridge, USA location. The provided text does not mention visa sponsorship.
What are the required qualifications and experience level?
Candidates must have at least 10 years of experience developing, deploying, and supporting machine learning solutions. Requirements include leading ML initiatives in drug discovery, experience with computational chemistry or protein modeling, expertise in large model training (HPC/cloud/distributed), and coding proficiency in Python and deep learning frameworks.
What are the key responsibilities of this role?
You will lead the AI Systems & Scale group, define roadmaps for scalable AI and agentic architectures, scale multidisciplinary teams, establish reference architectures, enforce MLOps/LLMOps standards, and oversee agent safety and quality engineering. You will also collaborate with data, security, and platform teams for compliance and portfolio management.
What is the compensation range for this position?
The expected annual salary range for this position is $194,600.00 to $361,400.00, with final compensation determined by skills and experience.
What benefits and incentives are available?
Incentives include a performance-based cash bonus and eligibility for annual equity awards. US-based associates receive health, life, and disability coverage, a 401(k) plan with company matching, and a generous time-off package (vacation, personal days, holidays, and other leave options).

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Research the company before you apply.

  • 6 open roles
  • Verified H-1B salary data
  • Clinical-trial hiring momentum
  • Culture, benefits & locations
View company profile

Job Information

Source: workday
AI Relevance: 80/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: Cambridge (USA)
Skills & Tags:
novartis pharma

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