Transform Clinical Data Management at Cognizant as a Hybrid Data Engineer and AI Architect. Lead automated solutions to enhance data processes across various projects.
Cognizant is looking for a seasoned AI Architect – Data Engineer to spearhead architecture and engineering strategies for advanced Clinical Data Management automation. Engage with customer stakeholders including IT and AI teams while working in a hybrid setting, contributing to the development of cutting-edge AI solutions tailored to clinical needs.
Key Responsibilities:
• Develop architectural blueprints for AI Study Build Automation
• Implement Knowledge Graph schemas for data engineering
• Validate integration across various system components
• Drive technical execution of Proof of Concepts
• Facilitate client workshops and technical reviews
Requirements:
• Bachelor’s degree in relevant technical field
• Proven AI and data architecture expertise
• Experience in Knowledge Graph and LLM technologies
• Robust understanding of integration patterns and API design
• Excellent problem-solving and documentation skills
Bring your data architecture skills to Cognizant to innovate in Clinical Data Management solutions.
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📌 Data Engineer & AI Architect Hybrid Role (Calgary)
🏢 Cognizant
📍 Calgary
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