Data Scientist
Amgen · Hyderabad · onsite · Posted 68d ago
Undisclosed2–4 yrsfulltimeSourced from
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About this role
Job Summary
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.
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 practices across projects.
- Scientific AI Model Integration
- Integrate foundation models and scientific AI models into end-to-end workflows.
- Examples may include:
- Protein language models
- Structure prediction models
- Biological foundation models
- Knowledge graph-based systems
- Predictive machine learning models
- Develop reusable APIs, services, and interfaces that allow AI agents and applications to consume scientific models and computational tools.
- Collaborate with scientific domain experts to identify appropriate modeling approaches and evaluate solution effectiveness.
- Knowledge Systems Retrieval
- Design and implement knowledge-driven AI systems that connect LLMs and agents with enterprise and scientific data.
- Develop solutions utilizing:
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Skills
AutomationBedrockData ingestionCrewaiAzure Aiapiscloud aiai modelsaws bedrockamazon web servicesBiomedicalbsbiologyComputational biologyBiotechnologyBioinformaticsData EngineeringcloudAi PlatformAi SolutionsMicrosoft AzureArtificial Intelligence
About Amgen
Amgen
Biotechnology
1.5k+
employees
1980
46 years old
Hyderabad, Telangana
India
About
Amgen operates in the biotechnology sector, developing and delivering advanced medicines to address critical health challenges globally.
Industries
BiotechnologyBiotech & Life sciences
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