• Senior Manager, AI Engineer

    BeOne Medicines (Emeryville, CA)


    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.

    Essential Functions of the Job:

    + 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.

    Foundational Background

    + **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.

    Core Technical Expertise

    + **Generative AI Leadership** : Deep, hands-on experience in **training, fine-tuning, hosting, and deploying large-scale generative models** , with mastery of **PyTorch** (preferred) or TensorFlow for model development and optimization.

    + **Agentic AI Frameworks** : Demonstrated expertise in **Agentic AI design and orchestration** , leveraging frameworks such as **LangGraph, LangChain** , 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).

    Life Sciences & Biomedical AI

    + **Domain-Specific Modeling** : We prefer familiarity with **biomedical and pharmaceutical NLP** technologies such as **cTAKES** , **BioGPT** , PubMed-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.

    Leadership & Collaboration

    + 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.

    Education Required:

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

    BeOne Global Competencies:

    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-Oriented

    + Analytical Thinking/Data Analysis

    + Financial Excellence

    + Communicates with Clarity

     

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.