AI Platform Engineer

Beckman Coulter Life Sciences, a Danaher operating company, develops automation and diagnostic innovations for life sciences and laboratory workflows. The AI Platform Engineer will build backend platform services, agent-facing APIs, data management solutions, and orchestration systems that enable secure AI-driven automation across scientific instruments and software ecosystems.

Responsibilities:

• Architect and develop AI platform services, agent-facing APIs, 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 LLM-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 LLM technologies, then mature successful solutions into production ready capabilities that meet the performance, reliability, security, and compliance requirements of regulated customer environments