AI Platform Engineer
Danaher Corporation
Summary
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.
Job description
In 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 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 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 fundamentals with demonstrated experience rapidly prototyping AI capabilities and maturing successful solutions into secure, reliable, production ready systems
Travel, Motor Vehicle Record & Physical/Environment Requirements:
- Ability to travel up to 15% domestically and internationally
It would be a plus if you also possess previous experience in:
- Laboratory informatics platforms and standards such as LIMS, ELN, and SiLA 2, including integration with scientific instruments and laboratory workflows.
- Working in regulated or compliance driven environments, including GxP, HIPAA, SOC 2, or similar frameworks
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
- 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
- Experience with 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 fundamentals
- 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
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- 401(k)
- Paid time off
- Bonus/incentive pay
Company overview
Danaher Corporation is a leading global science and technology innovator headquartered in Washington, D.C., specializing in biotechnology, life sciences, and diagnostics. Founded in 1984 by brothers Steven and Mitchell Rales, the company has evolved from its origins as a manufacturing conglomerate into a premier healthcare technology organization with approximately 63,000 employees worldwide. Danaher operates through three core divisions: biotechnology (28% of revenues), which develops products for therapeutic development; life sciences (31% of revenues), focused on disease identification, new therapies, and drug testing/manufacturing; and diagnostics (41% of revenues), providing instruments, consumables, and software for disease diagnosis. The company's portfolio includes renowned brands such as Beckman Coulter, Cytiva, Pall Corporation, Cepheid, Leica Microsystems, and Abcam, serving pharmaceutical companies, biotechnology firms, healthcare providers, and research institutions globally. Danaher is distinguished by its Danaher Business System (DBS), a continuous improvement methodology that drives innovation and operational excellence. With 2024 revenues of $23.9 billion, the company ranks 180th on the Fortune 500 and plays a critical role in advancing scientific research, improving diagnostic capabilities, and accelerating the development of life-saving therapies.