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.

Learn about the Danaher Business System which makes everything possible.

The Senior AI Engineer for the Enterprise AI team, you are responsible for designing, developing, deploying and operating enterprise AI solutions that enable scalable adoption of Generative AI, AI Agents, and AI-powered business processes across Danaher. This role focuses on AI Operations, AI platform enablement, model observability, governance, reliability, security, and lifecycle management while leveraging data engineering capabilities to support AI workloads and enterprise data integration. You will also be involved in developing Data based applications and Dashboards that are critical for business which has high visibility.

This position reports to the Manager of AI Ops and is part of the Danaher Enterprise AI solution team located in Bangalore, India and will be a remote role.

In this role, you will have the opportunity to:

- Design, deploy, and operate enterprise Generative AI and agentic AI solutions using Large Language Models (LLMs).

- Implement LLMOps capabilities including prompt management, model evaluation, observability, monitoring, and performance optimization.

- Define AI solution guardrails, safety controls, governance controls, model monitoring, cost optimization, and responsible AI practices.

- Implement AI monitoring and alerting frameworks to proactively identify hallucinations, performance degradation, data drift, and operational risks.

- Support AI platform operational activities including release management, model upgrades, testing, rollback strategies, and production support.

- Evaluate emerging AI technologies and recommend enhancements to the enterprise AI platform.