AI Security Engineer
Syngenta Group (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 20–35 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About This Role
- Manage and optimize AI Security Platform to enforce cross-platform AI policy and protect against AI-related cyber threats including data exfiltration.
- Lead AI asset discovery and continuous security posture management across cloud environments (AWS, Azure, GCP).
- Collaborate with development teams on AI Red Teaming tests integrated within CI/CD pipelines and serve as primary technical contact for AI security platform vendor to influence product roadmap.
Minimum Requirements
- Experience managing large-scale enterprise security solutions including capability road-mapping and operational change management.
- Strong understanding of generative AI concepts (LLMs, RAG, AI agent frameworks, agent Red-Teaming, guardrails, etc.).
- Hands-on experience with cloud-native security tools and API-based integrations (SIEM, firewalls, endpoint security, etc.).
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Deep technical expertise in AI security architectures, including scalability and performance tuning of security platforms in enterprise contexts.
- Familiarity with AI security regulatory frameworks such as EU AI Act and OWASP LLM Top 10, indicating strong domain bias towards compliance and governance.
- Experience collaborating across multi-disciplinary teams and integrating AI security testing within DevOps environments (CI/CD).