Job Description

At first glance, you’ll see Danaher’s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms—life sciences, diagnostics, and biotechnology.

Look again and you’ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You’ll find associates who are as certain about their impact as they are about where they’re headed next.

You’ll find the Danaher Business System, which makes everything possible. You’ll also see a company that investors trust—our culture of continuous improvement has helped us outperform the S&P 500 by more than 5,000% over the past 25

As the AI Engineer for the Enterprise AI team, you are responsible for designing, developing, and deploying AI including Generative AI and Agentic AI frameworks, to build intelligent and autonomous systems. You will work with different business to help build the solution using AI and Gen AI frameworks. You will also be involved in developing Data based applications and Dashboards that are critical for business which has high visibility.

Key Responsibilities:

• Design, develop, and deploy machine learning, Generative AI, and Agentic AI solutions that address real-world business needs.
• Build intelligent AI systems using prompt engineering, retrieval-augmented generation (RAG), multimodal AI, and autonomous reasoning frameworks.
• Develop, integrate, and deploy AI/ML models and software applications in production environments, including Azure and other cloud platforms.
• Prepare, analyze, and manage structured and unstructured data, including building data pipelines using platforms such as Snowflake.
• Collaborate with cross-functional teams to embed AI into applications, create business dashboards in tools such as Power BI and Tableau, and stay current with emerging AI trends and best practices.

Technical skills and Qualification:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field, with 0–2 years of experience or relevant internships/projects in AI or Data Engineering.
• Strong programming skills in Python, Java, or C#, with hands-on experience using AI libraries such as TensorFlow and PyTorch to build, train, and evaluate AI/ML models.
• Practical experience with Generative AI (e.g., LLMs), Agentic AI systems, and AI frameworks such as LangChain, Hugging Face, or OpenAI APIs, along with proficiency in AI-assisted coding agents to develop production-ready applications quickly and with high quality.
• Basic understanding of cloud computing and cloud-based AI tools such as AWS SageMaker, GCP AI, and Azure ML, combined with solid knowledge of data preprocessing, feature engineering, model evaluation, and databases such as Snowflake or MongoDB or Postgres

Preferred Skills:

• Experience in real-time AI applications, Generative AI, or LLMs
• Knowledge of Agentic AI frameworks (AutoGPT, OpenAI's Assistants API, CrewAI)

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s 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.

For more information, visit www.danaher.com