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Senior/Principal Agentic AI Engineer (Clinical Data Systems)(m/w/x)
Designing agentic workflows for clinical data management, building production-grade multi-agent systems for a global healthcare company. 6-8+ years delivering impactful AI/ML solutions, with AI orchestration frameworks like LangGraph or CrewAI proficiency required. High autonomy in developing cutting-edge agentic AI solutions.
Requirements
- Bachelor’s or advanced degree (Master’s/PhD preferred) in Computer Science, Machine Learning, or related fields
- 6–8+ years experience delivering impactful AI/ML solutions
- Proficiency in Python (TensorFlow, PyTorch, NumPy)
- Skill in AI orchestration frameworks (LangGraph, CrewAI, AutoGen)
- Familiarity with C#, R, or JavaScript (plus)
- Experience deploying scalable AI systems to cloud environments (AWS)
- Experience integrating vector databases, DevOps pipelines, and containerization (Docker, Kubernetes)
- Strong knowledge of validation practices, model reproducibility, and regulatory frameworks (GxP standards)
- Experience in clinical trial data workflows
- Familiarity with clinical trial lifecycles, data standards, and regulated industries (healthcare, fintech, or aerospace)
- Strategic thinking
- Excellent problem-solving skills
- Excellent communication skills
- Capability to engage global stakeholders effectively
- Experience building production LLM systems using RAG pipelines, tool-calling agents, and human-in-the-loop workflows
Tasks
- Design agentic workflows for clinical data management
- Utilize LangGraph, CrewAI, or AutoGen frameworks
- Automate complex clinical data management tasks
- Develop production-grade multi-agent systems
- Enable collaboration among specialized agents
- Implement tool-calling and retrieval-augmented workflows
- Integrate human-in-the-loop validation
- Ensure traceable and compliant system outcomes
- Maintain high-quality, testable code
- Maintain service documentation
- Apply systematic prompt engineering techniques
- Utilize Chain-of-Thought, ReAct, and Reflection methods
- Achieve high-fidelity outcomes in clinical contexts
- Deploy AI solutions into Roche's AWS cloud
- Ensure scalability of deployed AI solutions
- Partner with Data Integrity teams
- Uphold traceable, reproducible, GxP-compliant AI systems
Work Experience
- 6 - 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- TensorFlow
- PyTorch
- NumPy
- LangGraph
- CrewAI
- AutoGen
- C#
- R
- JavaScript
- AWS
- Docker
- Kubernetes
- vector databases
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- 1201 F. Hoffmann-La Roche AGFull-timeOn-siteSeniorBasel
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Senior/Principal Agentic AI Engineer (Clinical Data Systems)(m/w/x)
Designing agentic workflows for clinical data management, building production-grade multi-agent systems for a global healthcare company. 6-8+ years delivering impactful AI/ML solutions, with AI orchestration frameworks like LangGraph or CrewAI proficiency required. High autonomy in developing cutting-edge agentic AI solutions.
Requirements
- Bachelor’s or advanced degree (Master’s/PhD preferred) in Computer Science, Machine Learning, or related fields
- 6–8+ years experience delivering impactful AI/ML solutions
- Proficiency in Python (TensorFlow, PyTorch, NumPy)
- Skill in AI orchestration frameworks (LangGraph, CrewAI, AutoGen)
- Familiarity with C#, R, or JavaScript (plus)
- Experience deploying scalable AI systems to cloud environments (AWS)
- Experience integrating vector databases, DevOps pipelines, and containerization (Docker, Kubernetes)
- Strong knowledge of validation practices, model reproducibility, and regulatory frameworks (GxP standards)
- Experience in clinical trial data workflows
- Familiarity with clinical trial lifecycles, data standards, and regulated industries (healthcare, fintech, or aerospace)
- Strategic thinking
- Excellent problem-solving skills
- Excellent communication skills
- Capability to engage global stakeholders effectively
- Experience building production LLM systems using RAG pipelines, tool-calling agents, and human-in-the-loop workflows
Tasks
- Design agentic workflows for clinical data management
- Utilize LangGraph, CrewAI, or AutoGen frameworks
- Automate complex clinical data management tasks
- Develop production-grade multi-agent systems
- Enable collaboration among specialized agents
- Implement tool-calling and retrieval-augmented workflows
- Integrate human-in-the-loop validation
- Ensure traceable and compliant system outcomes
- Maintain high-quality, testable code
- Maintain service documentation
- Apply systematic prompt engineering techniques
- Utilize Chain-of-Thought, ReAct, and Reflection methods
- Achieve high-fidelity outcomes in clinical contexts
- Deploy AI solutions into Roche's AWS cloud
- Ensure scalability of deployed AI solutions
- Partner with Data Integrity teams
- Uphold traceable, reproducible, GxP-compliant AI systems
Work Experience
- 6 - 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- TensorFlow
- PyTorch
- NumPy
- LangGraph
- CrewAI
- AutoGen
- C#
- R
- JavaScript
- AWS
- Docker
- Kubernetes
- vector databases
About the Company
Roche
Industry
Healthcare
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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