AI Platform Engineer

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Beckman Coulter Life Sciences, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact. You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

At Beckman Coulter Life Sciences, we know time is the most critical facet in the laboratory today:  time to get life-saving therapies to patients faster; reclaiming time by automating tedious manual workflows; and saving time spent addressing erroneous or complex results.

We are partners in time and accelerate answers to critical questions through the power of automation. We develop innovations for scientists by scientists, with many of our 3,300+ global colleagues coming from the laboratory.

It’s all part of our time-tested approach to bringing meaningful innovations at the speed of life since 1935. And we’re just beginning. Working together, let’s put our time and talents together to advance human health for tomorrow.

Learn about the Danaher Business System which makes everything possible.

The AI Platform Engineer is responsible for building the backend platform that powers intelligent automation across scientific workflows. By enabling AI agents to securely access data, orchestrate experiments, and integrate with complex instrument ecosystems, this role directly drives platform scalability, accelerates customer value delivery, and advances the company’s vision for next generation AI-enabled laboratory operations.

This position reports to the Senior Manager, Software Engineering - Automation and is part of the R&D Software team located in San Jose, California and Indianapolis,  this role, you will have the opportunity to:

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.

The essential requirements of the job include:

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related field7+ 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 LLM-powered applications or multi-agent systems, including RAG 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…