AI Security Engineer
Syngenta · Mumbai City
- Experience0–4 yrs
- SalaryNot disclosed
- Work modeonsite
- Posted22 Sept 2026
About Syngenta
Syngenta is hiring in Mumbai City in agriculture food. This role looks for around 0+ years of experience.
Skills
- generative AI
- AI red teaming
- cloud-native security tools
- Data Loss Prevention
- AWS
- Microsoft Azure
- Google Cloud Platform
- SIEM
- firewalls
- intrusion detection systems
- endpoint security
- API integrations
- AI security architecture
- security controls
- incident response
The role
An AI security platform lead at an agricultural technology company manages generative AI security, AI red teaming, and cloud-native security tools while integrating security controls and incident response.
Full job description
Company Description About Syngenta At Syngenta Group, we're a global community of 56,000 innovators across 90 countries, united by a 250-year legacy of agricultural excellence. As the world's most local agricultural technology partner, we create tailormade solutions that transform farming while protecting our planet, driven by our commitment to innovation, ethics, and integrity. Through our inclusive environment and diverse perspectives, we pioneer breakthrough solutions for farmers, society, and future generations. Join our worldwide teams of agricultural pioneers in creating a more resilient and equitable food system for all.
Job Description The AI Security Platform Lead acts as a vital member of Syngentas Information Security team to help safeguard Syngenta Information Technology infrastructure against AIrelated cyber threats and vulnerabilities. The AI Security Platform Lead bridges end users, developers, operational run/support teams and other functional stakeholders to maintain reliable operation of AI Security Platform(s) while driving continuous and sustainable improvement and providing regular transparent performance & security metric reporting
Accountabilities Cross-Platform AI Policy Enforcement: Manage and optimize security controls across endpoints, SaaS environments, and runtime 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 usepolicy 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 endusers while maintaining rigorous inspection standards. Incident Response Integration: Partner with the SOC (Security Operations Center) to develop playbooks for responding to AIspecific 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 largescale enterprise security solution including capability roadmapping and operational change management Strong understanding of generative AI concepts such as LLMs, RAG, MCP servers, AI agent frameworks, agent loops, agent RedTeaming, 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 Handson experience with cloudnative security tools and APIbased 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, problemsolving, 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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India page https://www.linkedin.com/company/70489427/admin/ .