AI Architecture Engineer – Supply Chain Team

Danaher Corporation

AI Architecture Engineer on the Supply Chain AI Team at Danaher, optimizing operations with AI models. Responsible for architecting data systems and collaborating with cross-functional teams.

Posted 7/1/2026full-timeRemote • 🇵🇱 PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and maintaining scalable data pipelines and systems for AI applications, with a strong focus on integrating LLM orchestration frameworks and optimizing data architectures for AI/ML model deployment. Proficient in collaborating with cross-functional teams to translate business requirements into effective technical solutions.

Highest-signal resume keywords

Data Pipeline ArchitectureAI System DevelopmentLLM IntegrationCloud Tools (SnowFlake, Azure, AWS)Business Process Knowledge (Supply Chain, Operations)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignAI/ML Model DeploymentLLM UnderstandingRAG KnowledgeMemory ArchitecturesScala ProgrammingJava ProgrammingPython ProgrammingReport CreationData Visualization

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

Power BIPower AppPower AutomateCloud Tools

Industry Keywords

Operations ResearchSupply ChainData WorkflowsAgentic AI Applications

Tech Stack

Tools & technologies

AWSAzureCloudJavaPythonScala

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities