The Supply Chain AI Architecture Engineer will join the Supply Chain AI Team, reporting to Principal Supply Chain AI Scientist. This role is responsible for developing and deploying OR, ML and AI models to optimize supply chain functions across the enterprise.
responsibilities :
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 scientist, project managers and supply chain stakeholders to understand data needs and translate business requirements into technical solutions.
requirements-expected :
Bachelor’s with 5 years of experience or Master’s with 3 years of experience in Computer Science, Information Technology, Engineering or related field.
Strong hands-on experience in AI agent and AI system development, with solid understanding of LLMs, autonomous agents, retrieval-augmented generation (RAG), and memory architectures.
Strong hands-on experience with the concept and design of data pipelines utilizing different cloud tools such as SnowFlake, Azure, AWS.
Familiar with co-solution development environment such as in Scala, Java or Python.
Familiar with creating reports and visualization using Power BI, Power App, Power Automate or a similar BI tool.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
