AI Platform Engineer

Danaher Corporation

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CAIndianapolis, IN
Salary
$150,000–$200,000 / yr
Employment
Full-time
Posted
22 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $174k
This role $175k
$99k $239k
below market most similar roles pay here above market

This role pays more than 62% of similar roles. Most pay $151,000–$196,375 — the blue band above. At the midpoint, this role pays about $175k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Danaher Corporation

Danaher Corporation is a leading global science and technology innovator focused on biotechnology, diagnostics, and life sciences.

Danaher Corporation currently has 71 open roles on FindRole.

Listed pay typically runs $130,000–$155,000 across 41 roles with salary data.

Most-posted roles

View all roles at Danaher Corporation

At a glance

TL;DR · AI Platform Engineer

The AI Platform Engineer joins the R&D Software team to build the backend platform powering intelligent automation across scientific workflows. This role involves architecting and developing AI platform services, agent-facing APIs, and event-driven backend systems that connect laboratory instruments, cloud infrastructure, and intelligent agents. Key responsibilities include designing scalable data and context management solutions for LLM-powered systems, including retrieval pipelines, memory, state management, and tool integration frameworks. The engineer will build orchestration services to coordinate planning and execution across heterogeneous AI agents and devices while defining data contracts and observability practices. Required skills include experience with RAG architectures, vector search, and multi-agent systems. The work addresses the technical challenge of integrating enterprise data and scientific instruments into secure, production-ready AI-driven workflows within regulated laboratory environments.

What you'll do

  • Architect and develop AI platform services, agent-facing APIs, and event-driven backend systems.
  • Design scalable data and context management solutions for LLM-powered systems including retrieval pipelines and memory.
  • Build and maintain orchestration services to coordinate planning and execution across heterogeneous AI agents and devices.
  • Define and govern data contracts, integration standards, and observability practices for instrument fleets.
  • Prototype, evaluate, and benchmark emerging AI and LLM technologies to mature them into production-ready capabilities.
  • Ensure all platform services meet performance, reliability, security, and compliance requirements for regulated environments.

What we're looking for

  • 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.
  • Experience building LLM-powered applications or multi-agent systems, including RAG architectures, vector search, and orchestration.
  • Experience designing and implementing AI platforms that securely integrate enterprise data, external tools, devices, and software systems.
  • Strong software engineering fundamentals with experience prototyping and maturing AI capabilities into production-ready systems.
  • Ability to travel up to 15% domestically and internationally.
  • Experience in laboratory informatics (LIMS, ELN, SiLA 2) or regulated environments (GxP, HIPAA, SOC 2) (preferred).

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