Architect and maintain scalable, secure, and low-latency data pipelines and systems to support agentic AI applications
Build and optimize data architectures to support AI/ML/OR (Operations Research) model training, evaluation and deployment
Integrate with LLM orchestration frameworks (e.g., LangChain, Semantic Kernel) and support modular data access by multiple agentic processes
Monitor and troubleshoot data workflows, ensuring timely and accurate delivery of data to end users
Collaborate with data scientists, project managers and supply chain stakeholders to understand data needs and translate business requirements into technical solutions

Degree in Computer Science, Information Technology, Engineering or related field
Significant hands-on experience in AI agent and AI system development
Solid understanding of LLMs, autonomous agents, retrieval-augmented generation (RAG), and memory architectures
Extensive hands-on expertise with the concept and design of data pipelines utilizing different cloud tools such as SnowFlake, Azure, AWS
Familiarity with co-solution development environment such as in Scala, Java or Python
Creation of reports and visualization using Power BI, Power App, Power Automate or a similar BI tool
Previous experience in: Background in OR, ML model deployment
Knowledge of core business processes (Supply Chain, Operations) obtained by directly working in these functions

AI Architecture Engineer – Supply Chain Team

Key skills