Associate Director - Data Sciences and AI/ML Solutions Architecture

Experience in architecting GenAI applications (LLMs, LangChain, RAG, OpenAI APIs). - Prior exposure to pharma / life sciences AI environments. - Certifications in AWS Solution Architecture, AI/ML Specialization, or TOGAF. - Strong understanding of Responsible AI and model validation principles. Please note: The Experience Level for this position is Mid Level. As the Associate Director Data Sciences at Amgen's Innovation Lab, your primary role is to be the technology authority for all AI/ML and GenAI initiatives. You will work closely with the Amgen Product Manager and functional leads to translate business objectives into scalable, secure, and compliant technical solutions. This hands-on leadership position involves architecture design, technical mentorship, and delivery governance across various Proof of Concepts (PoCs). Key Responsibilities:

Define comprehensive technical architectures for AI/ML, data, and digital applications. - Collaborate with the Program Manager and technical leads on solution design and delivery planning. - Establish coding standards, DevOps / MLOps frameworks, and CI/CD pipelines for the lab. - Provide technical oversight across PoDs to ensure scalability, security, and compliance. - Evaluate and recommend tools, libraries, and frameworks for AI/ML, GenAI, and data engineering. - Support architecture reviews, design approvals, and release governance. - Mentor engineers and ensure alignment with enterprise architecture principles. - Coordinate with Amgen Cloud and IT teams on infrastructure provisioning and integrations. Required Qualifications:

Phd or Masters with 1218 years of experience in solution architecture or technical leadership. - Proven expertise in AI/ML, Data Engineering, and Full Stack Development. - Deep knowledge of cloud platforms (preferably AWS) and containerized deployments. - Familiarity with Python, Java, React JS, and modern microservices architectures. - Hands-on experience with MLOps tools such as SageMaker, MLflow, Databricks, and Kubeflow. - Strong background in data governance, security, and compliance automation. - Excellent communication and stakeholder management skills. Preferred Skills:

Experience in architecting GenAI applications (LLMs, LangChain, RAG, OpenAI APIs). - Prior exposure to pharma / life sciences AI environments. - Certifications in AWS Solution Architecture, AI/ML Specialization, or TOGAF. - Strong understanding of Responsible AI and model validation principles. Please note: The Experience Level for this position is Mid Level.