Associate Director, AI Enablement, Commercial & Medical Affairs

🕒 3 days ago

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BeOne Medicines

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2010

BeOne Medicines is a global oncology company domiciled in Switzerland that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a portfolio spanning hematology and solid tumors, BeOne is expediting development of its diverse pipeline of novel therapeutics through its internal capabilities and collaborations. With a growing global team of more than 11,000 colleagues spanning six continents, the Company is committed to radically improving access to medicines for far more patients who need them.

📋 Description

• Lead the design and implementation of enterprise AI/ML and GenAI platforms • Build scalable, reusable AI services and APIs • Define and implement LLMOps/MLOps practices • Architect solutions integrating vector databases, knowledge stores, and enterprise data platforms • Ensure seamless integration of AI capabilities with existing data, CRM, and marketing technology ecosystems • Establish frameworks, toolkits, and best practices for building AI-powered applications • Drive self-service AI capabilities including prompt frameworks, reusable components, and standardized pipelines • Design and operationalize RAG architectures for enterprise knowledge retrieval and grounded generation • Build and scale agentic AI systems capable of multi-step reasoning, orchestration, and task automation • Partner with data engineering teams for high-quality data pipelines

🎯 Requirements

• Master’s or PhD in AI, Engineering, Data Science, Statistics, Computer Science, or a related quantitative field • 10+ years of experience in AI/ML engineering, platform development, or data engineering, preferably in enterprise environments • Strong hands-on experience with RAG architectures and LLM frameworks (e.g., LangChain, LlamaIndex) • Vector databases (Pinecone, FAISS, Weaviate, etc.) • LLMOps/MLOps tooling and production model lifecycle management • Proficiency in Python, SQL, and modern cloud platforms (AWS, Azure, or GCP) • Familiarity with distributed systems, real-time architectures, and data pipelines • Strong understanding of AI system evaluation, monitoring, and optimization • Proven experience leading platform-centric AI initiatives, not just analytics use cases

🏖️ Benefits

• Medical • Dental • Vision • 401(k) • FSA/HSA • Life Insurance • Paid Time Off • Wellness