Roles & Responsibilities :
- AI / ML Thought Leadership & Mentorship : Mentor and provide thought leadership for AI / ML engineers and data scientists, enabling continuous technical growth in agentic design, reinforcement learning, and AI standard methodologies.
- Agent-Based System Development : Design, implement, and optimize multi-agent AI / ML systems that enhance automation, decision-making, and system efficiency.
- Strategic Framework Development : Define and set the direction for AI / ML frameworks that enable scalable and robust agentic solutions.
- Enterprise-Level Integration : Work closely with multi-functional teams to integrate agent-based solutions into Amgen s enterprise platforms, aligning AI strategies with business objectives.
- Technical Innovation & Research : Stay at the forefront of AI / ML advancements, exploring and implementing new methodologies such as reinforcement learning, active learning, and RLHF to drive continuous improvement.
- Cross-Functional Collaboration : Partner with leadership, product teams, and other collaborators to identify AI opportunities, streamline implementations, and align AI / ML strategies with company goals.
- Quality & Performance Assurance : Ensure that AI solutions meet enterprise-scale performance, security, and reliability standards, while maintaining detailed documentation for long-term scalability.
What we expect of you
We are all different, yet we all use our unique contributions to serve patients.
Basic Qualifications :
Master s degree and 8 to 10 years of AI, machine learning, and / or data science experience ORBachelor s degree and 10 to 14years of AI, machine learning, and / or data science experience ORDiploma and 14 to 18 years ofAI, machine learning, and / or data science experienceProven expertise in designing and implementing AI / ML systems with multiple interacting agents.Demonstrated experience in reinforcement learning, active learning, and RLHF methodologies.Strong background in authoring and managing highly complex technical documentation at an enterprise level.Extensive experience in AI / ML system design, with a focus on multi-agent interactions and agentic design.Deep familiarity with agent-based modeling tools and frameworks.Proficiency in reinforcement learning, active learning, and RLHF methodologies.Strong background in developing scalable AI architectures, ensuring robustness, efficiency, and security.Experience with enterprise-scale AI / ML deployments and integrating agent-based solutions into business processes.Knowledge of cloud-based AI / ML frameworks and tools for large-scale model training and deployment.Preferred Qualifications :
Familiarity with data security and privacy regulations as they pertain to AI / ML applications.Experience in writing and managing complex technical documentation at an enterprise level.Strong project management skills with a track record of delivering AI-driven initiatives on time and within scope.Soft Skills :
Leadership & Vision : Ability to inspire and guide teams toward achieving AI / ML innovation and excellence.Strategic Thinking : Capable of developing and implementing long-term AI strategies that align with business needs.Collaboration : Proven experience working across different teams and subject areas to drive AI / ML integration.Communication : Ability to convey complex AI / ML concepts to both technical and non-technical collaborators.Adaptability : A forward-thinking approach that embraces emerging AI technologies and evolving industry trends.Skills Required
reinforcement learning, agent-based modeling