Summary
✨ AI‑Generated
An AI architecture role focused on applying machine learning, artificial intelligence, and operations research to enterprise supply chain optimization. You will develop and deploy advanced models, help shape AI technology strategy, and deliver solutions that improve large-scale operational decision-making.
Highlights
High-impact opportunity to develop and deploy AI, machine learning, and operations research models that optimize supply chain functions across a large global enterprise, with strong career development and internal mobility opportunities.
Description
Bring more to life.
At Danaher, our work saves lives.
And each of us plays a part.
Fueled by our culture of continuous improvement, we turn ideas into impact – innovating at the speed of life.
Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.
Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we’re committed to hiring and developing from within.
You’ll thrive in a culture of belonging where you and your unique viewpoint matter.
Learn about the Danaher Business System which makes everything possible.
The AI Architecture Engineer will join the Supply Chain AI Team, reporting to Director, Supply Chain AI Technology.
This role is responsible for developing and deploying OR, ML and AI models to optimize supply chain functions across the enterprise.
This is a Danaher Corporate role, hosted by our Cytiva operating company in Kraków, and will be an on-site role in Kraków or Warsaw, OR remote across Poland.
In This Role, You Will Have The Opportunity To
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.
The Essential Requirements Of The Job Include
Degree in Computer Science, Information Technology, Engineering or related field.Significant hands-on experience in AI agent and AI system development, with 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.
It would be a plus if you also possess previous experience in:
Background in OR, ML model deployment.Knowledge of core business processes (Supply Chain, Operations) obtained by directly working in these functions.
Join our winning team today.
Together, we’ll accelerate the real-life impact of tomorrow’s science and technology.
We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.
