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Supply Chain AI Architecture Engineer (f/m/d)
  • Kraków
Supply Chain AI Architecture Engineer (f/m/d)
Kraków, Kraków, Lesser Poland Voivodeship, Polska
Danaher Corporation
15. 11. 2025
Informacje o stanowisku

Supply Chain AI Architecture Engineer (f/m/d)

We invite you to apply for the Supply Chain AI Architecture Engineer role at Danaher Corporation. This is a Danaher Corporate role, hosted by our Cytiva operating company in Kraków, and will be on‑site in Kraków or Warsaw, or remote across Poland.

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 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.

Essential Requirements

  • Bachelor’s degree with 5 years of experience or Master’s degree with 3 years of experience in Computer Science, Information Technology, Engineering or a related field.
  • Strong hands‑on experience in AI agent and AI system development, including a solid understanding of LLMs, autonomous agents, retrieval‑augmented generation (RAG), and memory architectures.
  • Strong hands‑on experience with designing data pipelines using cloud tools such as Snowflake, Azure, or AWS.
  • Familiarity with production‑ready development environments such as Scala, Java, or Python.
  • Experience creating reports and visualizations with Power BI, Power App, Power Automate, or a similar BI tool.

Preferred Experience

  • Background in Operations Research, ML model deployment.
  • Knowledge of core supply‑chain and operations business processes gained through direct work in these functions.

For more information, visit www.danaher.com.

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