AzureCloudPython.NETAIMLGenAILLMMLOpsCommunicationDecision Making
About this role
Role Overview
Play a critical role in advancing Cencora’s digital transformation agenda by building, deploying, and scaling AI and GenAI solutions
Work closely with AI Architects, AI Product Managers, and business stakeholders to translate initiatives into production-ready capabilities
Support the development and operation of Cencora’s internal GenAI platforms and AI-driven products; enabling data-driven decision making, intelligent automation, and digital workflows across the enterprise
Deliver new AI and GenAI capabilities that maximize business value, modernize core processes, and accelerate innovation in the global healthcare B2B market place
Emphasize cloud native engineering, responsible AI and scalable platform design
Requirements
Bachelor's degree preferred or equivalent work experience
5+ years of engineering experience with hands-on development in AI/ML and GenAI solutions
Strong proficiency in Python and/or .NET for building AI enabled services and applications
Demonstrated experience developing and integrating LLM-based systems, including prompt engineering, orchestration, and evaluation
Experience working with cloud native platforms such as Azure and IAC tools
Familiarity with MLOps /LLMOps concepts, including model lifecycle management, monitoring and operational support
Ability to work in a fast-paced environment and strong technical communication skills