D

Danaher

Makes tools for drug research and medical testing

AI Platform Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related field.
  • 7+ years of professional software engineering experience, including recent hands-on experience building AI-powered products, AI platforms, agentic systems, or intelligent automation solutions.
  • Hands-on experience building large language model-powered applications or multi-agent systems, including retrieval-augmented generation architectures, vector search, orchestration, tool integration, context management, memory systems, and evaluation frameworks.
  • Experience designing and implementing AI platforms and services that securely integrate enterprise data, external tools, devices, and software systems into AI-driven workflows.
  • Strong software engineering fundamentals with demonstrated experience rapidly prototyping AI capabilities and maturing successful solutions into secure, reliable, production-ready systems.
  • Ability to travel up to 15% domestically and internationally.

Responsibilities

  • Architect and develop AI platform services, agent-facing application programming interfaces, and event-driven backend systems that connect laboratory instruments, cloud infrastructure, and intelligent agents into a unified platform.
  • Design scalable data and context management solutions for large language model-powered systems, including retrieval pipelines, memory, state management, and tool integration frameworks.
  • Build and maintain orchestration services that coordinate planning, execution, monitoring, and recovery across heterogeneous AI agents, devices, and software systems.
  • Define and govern data contracts, integration standards, and observability practices to ensure reliable, secure, and resilient communication across instrument fleets and platform services.
  • Rapidly prototype, evaluate, and benchmark emerging AI, agent, and large language model technologies, then mature successful solutions into production-ready capabilities that meet the performance, reliability, security, and compliance requirements of regulated customer environments.

Desired Qualifications

  • Experience with laboratory informatics platforms and standards such as Laboratory Information Management Systems, Electronic Laboratory Notebooks, and SiLA 2, including integration with scientific instruments and laboratory workflows.
  • Experience working in regulated or compliance-driven environments, including GxP, HIPAA, SOC 2, or similar frameworks.

About the Company

Danaher

Makes tools for drug research and medical testing

Danaher makes instruments, tests and laboratory supplies for drug developers, researchers and clinicians, spanning the path from biological research to clinical patient diagnosis. Its businesses include Cytiva for drug manufacturing, SCIEX for chemical analysis and Beckman Coulter for laboratory testing, linking specialized tools across healthcare workflows. Customers use its equipment to study cells, produce biological medicines and analyze patient samples; the group earns money by selling instruments, reagents, software and support services through its operating companies. Danaher was established in 1984 and is headquartered in Washington, DC.

Company size
10,001+
Company stage
IPO
Headquarters
Washington, DC
Founded
1984

Recently Posted Jobs

Explore more opportunities at Danaher

See more jobs