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, wherewe'recommitted to hiring and developing from within.You'llthrive in a culture of belonging where you and your unique viewpoint matter.

Learn about thewhich makes everything possible.

TheSenior AI Engineerfor the Enterprise AI team, youareresponsiblefordesigning,developing,deployingandoperatingenterprise AI solutions that enable scalable adoption of Generative AI, AI Agents, and AI-powered business processes across Danaher.Thisrolefocuses on AI Operations,AI platform enablement, model observability, governance, reliability, security, and lifecycle management whileleveragingdata 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 theManagerof AI Opsand is part of theDanaher Enterprise AIsolutionteamlocatedinBangalore, Indiaand willbe a remote role.

In this role, you will have the opportunity to:

• Design, deploy, andoperateenterprise Generative AI and agentic AI solutions using Large Language Models (LLMs).

• ImplementLLMOpscapabilities 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 proactivelyidentifyhallucinations, 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.

• Design, develop, andmaintainscalable data pipelines to integrate structured and unstructured data from sources such as APIs, CSVs, JSON files, databases, and third-party platforms.

• Contribute to technical best practices, documentation, knowledge sharing, and continuous improvement initiatives.