GenAI, RAG & Agentic Systems

• 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.
• Evaluate and implement LLM strategies (fine-tuning vs. RAG vs. hybrid approaches) based on use case needs.
• Ensure robustness of GenAI systems through evaluation frameworks, guardrails, and monitoring.

Data & AI Engineering

• Partner with data engineering teams to ensure high-quality, accessible, and governed data pipelines for AI consumption.
• Enable real-time and batch AI use cases through event-driven and streaming architectures.
• Optimize performance, scalability, and cost of AI workloads across cloud environments.

Governance, Security & Compliance

• Define and enforce AI governance frameworks, including model validation, explainability, and auditability.
• Ensure compliance with data privacy, security, and regulatory requirements (e.g., HIPAA, GDPR, GxP where applicable).
• Implement safeguards for GenAI risks (hallucination, bias, data leakage).

Cross-functional Leadership

• Act as a bridge between technology, data science, and business teams, enabling scalable AI adoption.
• Partner with stakeholders to translate business needs into platform capabilities and reusable solutions (not one-off builds).
• Influence enterprise AI strategy and roadmap through deep technical expertise and pragmatic execution.

Required Education:

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

Required Qualifications:

• Master's degree or higher with 7 + 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.

Business Acumen & Leadership:

• Ability to translate complex AI insights into clear, strategic recommendations for business leaders.
• Strong influencing skills, collaborating effectively with stakeholders, and cross-functional teams.
• Experience leading AI/analytics initiatives that drive measurable business impact.
• Excellent communication and storytelling skills, making AI-driven insights accessible and actionable for executives.

Preferred Qualifications:

• Experience in pharmaceutical or healthcare industry.
• Exposure to commercial, medical, or patient data ecosystems.
• Experience with agentic AI frameworks and autonomous systems design.

Travel:

• Estimated 10-15%, primarily for key planning sessions, workshops, or major launch initiatives.

Supervisory Responsibilities:

• No

Global Competencies

When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, 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

BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. The recruiter can share more about the specific salary range for a preferred location during the hiring process. Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan. The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.

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 .

Originally posted on Himalayas