AI Architecture Engineer – Supply Chain

Danaher Corporation

AI Architecture Engineer developing and deploying AI and ML models to optimize supply chain functions at Danaher. Working on data pipelines and collaborating with data scientists in Poland or remotely.

Posted 6/30/2026full-timeRemote • 🇵🇱 PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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.

Highest-signal resume keywords

Data Pipeline ArchitectureAI System DevelopmentLLM IntegrationCloud Tools ExpertiseBI Tool Proficiency

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline DesignAI/ML Model TrainingLLM UnderstandingRAG KnowledgeMemory ArchitectureScala ProgrammingJava ProgrammingPython ProgrammingData VisualizationReport Creation

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

SnowFlakeAzureAWSPower BIPower AppPower Automate

Industry Keywords

Agentic AIData WorkflowsModular Data AccessOperations Research

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 scientist, 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, 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.

Benefits

Comp & perks

Professional development opportunities
Flexible working arrangements