Senior AI 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 60,000+ 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 we’re committed to hiring and developing from within. You’ll thrive in a culture of belonging where you and your unique viewpoint matter.

DHR Enterprise AI Solutions is Danaher’s 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 organisation.

In DHR Enterprise AI Solutions, you will be responsible for designing, developing and deploying production-grade AI solutions that create measurable business value across Danaher operating companies.

You will work within multidisciplinary engineering teams to transform business opportunities into scalable AI applications, agents, services and reusable capabilities that can be adopted, operated and supported across the enterprise.

In This Role, You Will Have The Opportunity To

• Design, develop and deploy AI solutions for enterprise applications and products, building scalable AI services, workflows and reusable capabilities that solve real business problems.
• Develop and optimise Large Language Model (LLM) applications using prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning, agentic workflows and modern AI engineering techniques.
• Implement and support MLOps, DataOps and LLMOps practices for model lifecycle management, deployment, monitoring, governance and continuous improvement.
• Contribute to the design and implementation of scalable, reliable and maintainable AI architectures, ensuring solutions meet enterprise standards for quality, performance, security and supportability.
• Collaborate closely with Product Owners, Architects, AI Scientists, Platform and Data Engineering teams to build, industrialise and scale trusted, reusable AI solutions across Danaher.

The Essential Requirements Of The Job Include

• 5+ years of software engineering experience with significant hands-on experience building AI, machine learning or advanced analytics solutions.
• Strong proficiency in Python and modern AI development frameworks, libraries and tooling.
• Experience developing, deploying and supporting production-grade AI, machine learning or data-driven solutions in cloud environments.
• Strong understanding of software engineering practices, architecture patterns, APIs, microservices, CI/CD and cloud-native development.
• Good understanding of modern AI methodologies, including LLMs, semantic models, knowledge and context graphs, Retrieval-Augmented Generation (RAG) and agentic AI architectures.

It would be a plus if you also possess previous experience in:

• Building or deploying AI solutions in regulated industries such as life sciences, diagnostics, healthcare or advanced manufacturing.
• Developing AI capabilities that support knowledge extraction, decision support, process optimisation or workflow automation across enterprise data ecosystems.
• Enterprise AI governance and Responsible AI practices, including model evaluation, explainability, bias assessment and compliance with emerging AI regulations and frameworks.

Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a healthcare program or paid time off, our programs contribute to life beyond the job.

At Danaher, we believe in designing a better, more sustainable workforce. We recognise the benefits of flexible and remote working arrangements for eligible roles and are committed to providing enriching careers regardless of work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote …