Syngenta Group: AI Security Engineer — Pune, MAHĀRĀSHTRA, India

Syngenta Group lists a AI Security Engineer opening in Pune, MAHĀRĀSHTRA, India. The position is listed as full-time. The job description covers AWS, Azure, Google Cloud, CI/CD, AI, cybersecurity, audit.

Recruitment overview

OrganisationSyngenta Group
Post / roleAI Security Engineer
DepartmentIT & Digital
Employment typeFull-time
Notification / job ID18075498
Job locationPune, MAHĀRĀSHTRA, India
Work arrangementOn-site
Educational qualificationSee the employer’s role-specific qualification criteria
Experience requiredMid-Senior Level
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

About Syngenta Group

Syngenta Group works in agricultural technology and crop-related innovation. Its employer descriptions connect scientific development and crop solutions with helping farmers use resources effectively and improve how crops are grown. Material from its vegetables-and-flowers business also identifies seed breeding for different climates and horticultural needs. Across these activities, the stated business purpose links agricultural production with resource use and environmental concerns, bringing scientific and technological work to practical farming and growing conditions.

The position and its setting

Syngenta Group lists AI Security Engineer in Pune, MAHĀRĀSHTRA, India, under reference 18075498. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Department: IT & Digital
  • Employment type: Full-time
  • Employer listing date: 21 September 2026
  • Brands: Syngenta Group

Responsibilities and work described

  • The AI Security Platform Lead acts as a vital member of Syngenta’s Information Security team to help safeguard Syngenta Information Technology infrastructure against AI-related cyber threats and vulnerabilities
  • 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 Syngenta’s 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

Essential requirements and candidate background

  • Experience managing a large-scale enterprise security solution including capability road-mapping and operational change management
  • Understanding: generative AI concepts: 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: EU AI Act, OWASP LLM Top 10 and other emerging AI regulatory and security frameworks
  • Experience: 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: Data Loss Prevention (DLP) specifically tailored for LLMs and generative AI prompts
  • Analytical, problem-solving, and troubleshooting skills
  • Communication and interpersonal skills
  • Work independently and as part of a team

Location, schedule and contract conditions

  • Work arrangement: On-site
  • Advertised location: Pune, MAHĀRĀSHTRA, India

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another AI Security Engineer vacancy is not an offer for reference 18075498; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Syngenta Group

Applications follow the official employer page linked below.

Open the official Syngenta Group posting below and match the title and reference 18075498.

Compare your qualifications and experience with the essential conditions for the Pune, MAHĀRĀSHTRA, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: CI/CD

CI/CD experience should describe the path from a proposed change to a release. Identify the checks, build artefacts and deployment steps you worked on, together with the problem the pipeline solved.

Relevant skills

  • CI/CD
  • AWS
  • GCP
  • Azure
  • MCP
  • APIs
  • AI/ML
  • LLMs
  • Google Cloud
  • AI
  • cybersecurity
  • audit
  • compliance
  • communication
  • loss prevention

Important links

Official notification / job descriptionOpen official page
Online application portalOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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