Senior Engineer, AI Security & Automation

Company: Danaher Corporation

Location: Pune, Maharashtra, India

Type: Full-time

Posted: 2026-08-13

About this role

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](https://www.danaher.com/how-we-work/danaher-business-system) which makes everything possible.

This position reports to the Global Lead, Identity Security and is part of the enterprise-wide Danaher Information Security (DIS) in Pune/Bangalore and will be an onsite role.

In this role, you will have the opportunity to:

  • Engineer security controls for the LLM/AI stack: model access controls, prompt handling, RAG pipelines, tool/agent permissions, output filtering, logging, guardrails, and AI DLP.
  • Build automation (Python, SOAR) for detection, triage, remediation, and control evidence — with human oversight, test harnesses, and rollback.
  • Contribute to AI-security reference patterns; evaluate model/data supply-chain risk.
  • Support the sustainability model: automation runbooks, auditability, and control-evidence pipelines.

The essential requirements of the job include:

  • Bachelor's degree in Cybersecurity, Computer Science, Software/AI Engineering, or related field.
  • 8+ years in security engineering, application/cloud security, or DevSecOps, including experience building or securing AI/ML or LLM-based systems.
  • Hands-on experience securing the LLM/AI application stack: prompt handling, RAG pipelines, tool/agent permissions, output filtering, guardrails, or AI DLP.
  • Proficienc...

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