AI Security Engineer

As AI Security Platform Lead you will need strong understanding and proficiency with generative AI concepts technologies and use-patterns.  You will need to have strong interpersonal communication skills as this role owns the AI Security Platform(s) and must work with others to ensure continuous reliable resilient and sustainable operation of the platform(s).  You will work directly with cloud infrastructure teams app developers end users operational support teams security operations vendors and executive leadership stakeholders to maintain existing AI security capabilities and implement new improvements critical to AI-use policy enforcement and AI governance data collection.  You will continuously assess performance and coverage of the AI Security Platform(s) to produce gap analyses overall effectiveness reports and new ideas for improvement.

Accountabilities:

• Cross-Platform AI Policy Enforcement: Manage and optimize security controls across endpoints SaaS environments and run-time interactions to monitor AI agent behaviors and protect against data exfiltration.
• AI Asset Discovery & Posture Management:Leverage the AI Security Platform to maintain a comprehensive inventory of private and public AI tools while ensuring continuous visibility and security posture across AWS Azure GCP.
• AI Red Teaming: Work with Syngenta application development teams to maintain CI/CD integration of automated AI security Red-Teaming tests that assess internally developed AI agents for security and AI use-policy compliance.
• Vendor Management & Roadmap: Act as the primary technical point of contact for the AI Security Platform vendor influencing their product roadmap to meet Syngentas evolving AI security needs and staying ahead of new feature releases.
• Scalability & Performance Tuning: Ensure the AI Security Platform(s) AI security architecture scales effectively with enterprise growth minimizing latency for end-users while maintaining rigorous inspection standards.
• Incident Response Integration: Partner with the SOC (Security Operations Center) to develop playbooks for responding to AI-specific threats detected by the AI Security Platform(s).
• Collaboration and Communication: Collaborate closely across functional regional and business unit teams and stakeholders to proactively identify recommend and develop continuous improvements for AI cybersecurity tooling event detection correlation and incident response.
• Documentation and Knowledge Management: Maintain comprehensive documentation of the AI Security Platform operational procedures contacts and security findings for knowledge sharing and audit purposes.

Qualifications :

• Experience managing a large-scale enterprise security solution including capability road-mapping and operational change management
• Strong understanding of generative AI concepts such as LLMs RAG MCP servers AI agent frameworks agent loops agent Red-Teaming model routing model gateways guardrails technologies LLM context windows private AI vs public AI and more
• Familiarity with EU AI Act OWASP LLM Top 10 and other emerging AI regulatory and security frameworks
• Hands-on experience with cloud-native security tools and API-based integrations with cloud network security SIEM firewalls intrusion detection systems endpoint security application development IDEs and agentic coding tools
• Experience with Data Loss Prevention (DLP) specifically tailored for LLMs and generative AI prompts.
• Excellent analytical problem-solving and troubleshooting skills
• Strong communication and interpersonal skills
• Ability to work independently and as part of a team

Additional Information :

Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation gender identity marital or veteran status disability or any other legally protected status.

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Employment Type :

Full-time