Senior Engineer, AI Security & Automation

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 60000 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 were committed to hiring and developing from within. Youll thrive in a culture of belonging where you and your unique viewpoint matter.

Learn about the Danaher Business System which makes everything possible.

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:

• Bachelors degree in Cybersecurity Computer Science Software/AI Engineering or related field.

• 8 years in security engineering application/cloud security orDevSecOps 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.

• Proficiencyin Python for building security automation and integrations (including SIEM/SOAR).

• Working knowledge of AI-security frameworks such as OWASP LLM Top 10 NIST AI RMF MITRE ATLAS or EU AI Act technical requirements.

It would be a plus if you alsopossesspreviousexperience in:

• Experience red-teaming or evaluating LLM/agentic-AI applications (e.g.promptfoogarakPyRIT).

• GIAC GMLE / GIAC AI-ML Security or a cloud AI/security certification (Microsoft AWS or GCP).

• Experience withMLOps/CI-CD security integration.