Career Category
Engineering
Job Description
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, making people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver creative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what’s known today.
ABOUT THE ROLE
The Data Scientist – Agentic AI & Scientific Systems is a senior technical contributor responsible for designing, building, and integrating AI capabilities that accelerate scientific discovery across domains such as protein engineering, structure prediction, disease biology, and target identification.
This role focuses on developing agentic AI systems and scientific AI workflows that combine foundation models, domain-specific models, knowledge sources, and computational tools into reusable solutions that support scientific decision-making.
The engineer works closely with scientific domain leads to translate research needs into scalable AI solutions and reusable capabilities. This role serves as a bridge between scientific innovation and enterprise AI platforms, helping establish a foundation for next-generation AI-assisted scientific workflows.
Core Responsibilities
Agentic AI Systems Development
Design and implement agent-based systems that support complex scientific workflows.
Develop capabilities including:
- Tool calling and tool orchestration
- Multi-step reasoning workflows
- Retrieval-augmented generation (RAG)
- Knowledge-grounded AI systems
- Human-in-the-loop decision workflows
- Multi-agent collaboration patterns
Build reusable components for:
- Agent orchestration
- Context management
- Memory and state handling
- Workflow planning and execution
- Scientific tool integration
Evaluate emerging agent frameworks and contribute to standards and best pr
📌 Data Scientist (Hyderabad)
🏢 AMGEN
📍 Hyderabad
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