Associate Director, AI Enablement

Role Description

The Global Commercial and Medical Affairs Technology team at BeOne is seeking an Associate Director, AI Enablement to lead the design, build, and scaling of enterprise AI platforms and capabilities that power next-generation analytics and intelligent applications. This role will focus on engineering and operationalizing AI systems—including Retrieval-Augmented Generation (RAG), agentic AI frameworks, and LLM-powered services—enabling teams across Commercial, Medical, and other functions to build and deploy AI solutions in a secure, scalable, and reusable manner.

As a key technology leader, you will define and drive the AI platform strategy, developer experience, and enablement frameworks, ensuring seamless integration with BeOne’s modular technology stack (data platforms, CRM, marketing systems, and analytics environments). You will partner closely with data science, engineering, and business teams to transition AI from experimentation to enterprise-grade, production-ready capabilities.

Our team operates at the intersection of data, AI, and engineering, with a strong focus on reusable architecture, rapid iteration, and measurable impact.

Qualifications

• Master’s or PhD in AI, Engineering, Data Science, Statistics, Computer Science, or a related quantitative field.

Requirements

• Master's degree or higher with 6+ 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
  • Experience building scalable AI platforms, APIs, and microservices architectures.
  • Proficiency in Python, SQL, and modern cloud platforms (AWS, Azure, or GCP).
  • Experience with Databricks, Snowflake, or similar data platforms.
  • 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.
  • Ability to drive standardization, reuse, and scalability across AI implementations.
  • Strong collaboration skills across engineering, data science, and business teams.
  • Experience influencing architecture decisions and driving adoption of shared platforms.

Benefits

• Salary Range: $144,300.00 - $194,300.00 annually
• Participation in annual bonus plan for Non-Commercial roles.
• Incentive compensation plan for Commercial roles.
• Opportunity to own shares of BeOne Medicines Ltd. stock through discretionary equity awards.
• Voluntary participation in the Employee Stock Purchase Plan.
• Comprehensive benefits package including:
  • Medical
  • Dental
  • Vision
  • 401(k)
  • FSA/HSA
  • Life Insurance
  • Paid Time Off
  • Wellness

Company Description

BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. The recruiter can share more about the specific salary range for a preferred location during the hiring process.

We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact View email address on remotive.com.