Lead Integration Engineer

Bring more to life.

At Danaher our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement we turn ideas into impact innovating at the speed of life.

Our 60000 associates work across the globe at more than 15 unique businesses within life sciences diagnostics and biotechnology.


Are you ready to accelerate your potential and make a real difference At Danaher you can build an incredible career at a leading science and technology company where were committed to hiring and developing from within. Youll thrive in a culture of belonging where you and your unique viewpoint matter.


DHR Enterprise AI Solutions is Danahers enterprise AI engineering capability responsible for identifying opportunities building and scaling reusable AI solutions and accelerating measurable business impact across operating companies. We combine product architecture AI science engineering and operations to industrialise AI establish enterprise standards and enable the next generation of AI-powered products workflows applications and decision-making.


We look forward to welcoming you to our DHR Enterprise AI Solutions you will be responsible for designing and implementing secure reusable integration patterns and services that connect AI solutions with Danaher data applications instruments and business workflows.

In this role you will have the opportunity to:
1. Design framworks for and lead integration of production-grade AI solutions into our operating companies and their software and infrastructure environments to scale the business impact of AI at Danaher.
2. Define and implement scalable API event-driven and data integration architectures that enable enterprise-wide adoption of AI solutions and products and physical AI.
3. Design and develop reusable integration frameworks connectors MCP integrations and AI-accessible services that allow AI agents and applications to securely interact with enterprise systems (software and instruments).
4. Collaborate with business stakeholders architecture engineering platform data and security teams and application owners to gather requirements and enable reliable secure and scalable integration of AI solutions.
5. Provide technical leadership and mentorship while establishing integration standards governance practices and best practices that accelerate deployment of AI solutions across multiple business functions and operating companies.

The Essential Requirements of the Job Include:
1. Bachelors or masters degree in computer science Engineering Information Systems or a related technical field.
2. 8 years of experience in enterprise application integration software engineering middleware development or platform engineering.
3. Strong expertise in API design and development RESTful services event-driven architectures microservices API gateways and authentication mechanisms.
4. Hands-on experience integrating hardware and enterprise platforms such as Salesforce ServiceNow SAP Snowflake Microsoft technologies or other business-critical applications and data systems.
5. Strong programming skills in Python Java C# or similar languages combined with experience architecting and deploying solutions on cloud platforms such as Azure AWS.

It Would Be a Plus If You Also Possess Previous Experience In:
1. Building integrations for Generative AI applications AI agents Copilot solutions LLM-based applications RAG architectures and MCP-based integrations.
2. Developing AI-powered business applications using Azure OpenAI AWS Bedrock LangChain Microsoft Copilot Studio or similar AI frameworks and platforms.
3. Domain knowledge and hands-on experience working with enterprise business functions and systems such as Salesforce (SFDC) Customer Relationship Management (CRM) Supply Chain Customer Service Commercial Operations ERP Order Management or Service Management platforms.

Join our winning team today. Together well accelerate the real-life impact of tomorrows science and technology. We partner with customers across the globe to help them solve their most complex challenges architecting solutions that bring the power of science to life.

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