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

Danaher

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

Danaher

3 Locations

·

On-site

·

Full-time

·

2w ago

Required Skills

AI agent development

Data pipeline design

Python

Cloud platforms

LLM integration

RAG

Data architecture

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 63,000 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 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.

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., Lang Chain, 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.

The essential requirements of the job include:

  • 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 Snow Flake, 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.

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.

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About Danaher

Danaher

Danaher

Public

Danaher Corporation is an American healthcare company headquartered in Washington, D.C.. It develops products used for advances in biotechnology, life sciences, and diagnostics.

10,001+

Employees

3 Locations

Headquarters

Reviews

3.0

10 reviews

Work Life Balance

2.0

Compensation

3.2

Culture

2.3

Career

2.8

Management

1.8

25%

Recommend to a Friend

Pros

Good benefits and 401K match

Cross functional collaboration opportunities

Learning and development programs

Cons

High turnover and frequent layoffs

Poor leadership and management decisions

Below average pay for industry

Salary Ranges

21 data points

Mid/L4

Mid/L4 · Sustainability ESG Project Manager

2 reports

$105,800

total / year

Base

$92,000

Stock

-

Bonus

-

$105,800

$105,800

Interview Experience

1 interviews

Difficulty

1.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview Process

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Skills Assessment

5

Final Interview

6

Offer

Common Questions

Administrative Skills

Behavioral/STAR

Past Experience

Software Proficiency

Time Management