- Location
- IND - Pune - Pall India Pvt Ltd · Bangalore, Karnataka, India
- Workplace
- Onsite
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Education
- Bachelor
- Source
- Workday
Description
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.
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.
Proficiency in 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 also possess previous experience in:
Experience red-teaming or evaluating LLM/agentic-AI applications (e.g., promptfoo, garak, PyRIT).
GIAC GMLE / GIAC AI-ML Security, or a cloud AI/security certification (Microsoft, AWS, or GCP).
Experience with MLOps/CI-CD security integration.
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.