Solution Architect (Presales) - AI Security
- Compensation
- Not disclosed
- Location
- Mumbai, Maharashtra, India
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Architecture
- Posted
Skills
Must have
- 8–15 years of experience in Presales / Solution Architecture within Cybersecurity
- Strong understanding of Network Security, Cloud Security, SASE, ZTNA, and Application Security.
- Experience working with AWS, Azure, and GCP environments.
- Understanding of AI/ML concepts, APIs, and AI application environments.
- Experience managing enterprise and strategic customer engagements.
- Excellent communication, presentation, and stakeholder management skills.
Nice to have
- Experience with AI Security, CNAPP, CSPM, CWPP, or DevSecOps technologies.
- Understanding of LLM risks and secure AI adoption.
- Relevant certifications such as NSE, AWS/Azure, CISSP, or CCSP.
- Experience with cybersecurity vendors or cloud security companies preferred.
Full description
Solution Architect (Presales) – AI Security
About Fortinet
Fortinet is a global leader in cybersecurity, delivering broad, integrated, and automated security solutions across networks, applications, cloud, and endpoints. As organizations rapidly adopt AI-driven technologies, Fortinet continues to innovate and help customers secure modern AI-powered environments.
Role Overview
Fortinet is looking for a highly skilled Solution Architect (Presales) – AI Security to support enterprise customers in designing and securing AI-driven environments. This role will work closely with Sales, Engineering, and Customers to position Fortinet’s AI Security portfolio and help organizations address emerging threats related to AI/ML workloads, GenAI adoption, cloud security, and application protection.
Key Responsibilities
- AI data Center security design: Architect zero-trust segmentation, east-west traffic inspection, and perimeter defence for AI/GPU cluster environments using Fortinet Solutions
- LLM & AI workload protection: Implement security controls for LLM inference pipelines, model serving APIs, and AI orchestration layers — including prompt injection defense and model output filtering.
- GPU server hardening
- Threat detection & SOC integration: Deploy Fortinet solutions to ingest telemetry from AI infrastructure, build AI-specific detection rules, and automate incident response playbooks.
- 5Network fabric & SD-WAN: Design secure inter-DC connectivity for distributed AI training clusters
- Pre-sales & advisory: Lead proof-of-concept engagements, deliver technical presentations, and serve as a trusted advisor to Enterprise, Commercial, and Strategic
customers build and secure AI infrastructure.
- Support RFP/RFI responses and technical solution design
- Collaborate with Product and Engineering teams on customer requirements and AI security use cases
- Stay updated on trends related to GenAI, LLM Security, Adversarial AI, and AI governance
Required Skills & Experience
- 8–15 years of experience in Presales / Solution Architecture within Cybersecurity
- Strong understanding of Network Security, Cloud Security, SASE, ZTNA, and Application Security.
- Experience working with AWS, Azure, and GCP environments.
- Understanding of AI/ML concepts, APIs, and AI application environments.
- Experience managing enterprise and strategic customer engagements.
- Excellent communication, presentation, and stakeholder management skills.
Preferred Qualifications
- Experience with AI Security, CNAPP, CSPM, CWPP, or DevSecOps technologies.
- Understanding of LLM risks and secure AI adoption.