Senior Manager, AI Engineer

Overview

BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.

We are seeking an accomplished Senior Manager AI Engineering to provide technical leadership for a team of AI and machine learning engineers driving the next generation of AI solutions. In this pivotal role, you will contribute to the shape and execution of the R&D organization’s AI strategy, including the end-to-end development of robust, scalable models and platforms. Your expertise will ensure the successful deployment of cutting-edge AI technologies while fostering a strong, data-driven culture of innovation and excellence.

• Lead AI Development – Take the technical leadership of the design, build, and deployment of advanced AI/ML solutions aligned with business and scientific goals.
• Collaborate Broadly – Partner with engineers, data scientists, and product teams to integrate models into production workflows.
• Set Standards – Promote best practices for development, testing, deployment, and ongoing model performance.
• Drive Innovation – Track emerging AI technologies and introduce new tools to keep the team at the forefront.
• Ensure Compliance – Maintain strict data privacy, security, and ethical standards.

• Experience:
  
  5+ years of progressive AI/ML engineering experience, including driving large-scale AI initiatives and collaboration with diverse high-performing engineering teams.
• Track Record:
  Proven success delivering production-grade, scalable AI/ML solutions that create measurable scientific or business impact.

• Generative AI Leadership
  :
  Deep, hands-on experience in training, fine-tuning, hosting, and deploying large-scale generative models, with mastery of PyTorch (preferred) or Tensor Flow for model development and optimization.
• Agentic AI Frameworks
  :
  Demonstrated expertise in Agentic AI design and orchestration, leveraging frameworks such as Lang Graph, Lang Chain, or similar to build intelligent, multi-step reasoning agents.
• Advanced AI Techniques
  :
  Strong capability in context engineering, prompt engineering, agent- or graph-augmented retrieval (Agent/Graph RAG), text-to-SQL generation, and multimodal AI (integrating text, image, structured data, etc.) to enable complex knowledge-driven applications.
• MLOps & Infrastructure
  :
  Robust knowledge of MLOps best practices, including CI/CD pipelines for machine learning, model versioning, automated testing, scalable deployment, and cloud platforms (AWS, Azure, GCP).

• Domain-Specific Modeling
  :
  Familiarity with biomedical and pharmaceutical NLP technologies such as cTAKES, BioGPT, Pub Med-based LLMs, or similar biomedical AI frameworks.
• Knowledge Systems
  :
  Experience applying knowledge graphs and ontology-driven reasoning to drug discovery, clinical data integration, or molecular research is a strong plus.

• Exceptional ability to Lead and partner with cross-functional technical teams, mentor other engineers, and drive alignment with scientists, product leaders, and business stakeholders.
• Superior communication skills for conveying complex AI concepts to diverse audiences, including research, regulatory teams.
• Deep appreciation of data privacy, security best practices, and ethical considerations in AI development and deployment.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a closely related technical field (Ph.D. preferred).

When we exhibit our values of Patients First, Collaborative Spirit, Bold Ingenuity and Driving Excellence, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.

• Fosters Teamwork
• Provides and Solicits Honest and Actionable Feedback
• Self-Awareness
• Acts Inclusively
• Demonstrates Initiative
• Entrepreneurial Mindset
• Continuous Learning
• Embraces Change
• Results-…