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At Fortinet, we are at the forefront of securing the evolving Artificial Intelligence (AI) landscape with our FortiAIGate AI security platform. We are seeking a passionate and experienced AI Sales Engineer to support the technical execution for our rapidly growing AI security solutions. This critical pre-sales role will be instrumental in accelerating the adoption of our solutions that help customers secure the creation and usage of AI applications, including homegrown AI and popular agentic AI tools. Your Responsibilities
Partner with the AI Sales Specialist to shape and execute the GTM strategy for AI Security solutions across the region, focusing on expanding existing customer accounts and driving greenfield acquisition. Enable and train regional Sales Engineers by ensuring proficiency in the latest product capabilities, product roadmap, and live demonstration delivery.
Provide comprehensive support for technical discovery, architecture deep dives, and proof of concepts (POCs), driving successful outcomes throughout the sales cycle.
Maintain and manage demo environments, while overseeing demo certifications, training materials, and performance benchmarking.
Lead customer-facing engagements, including technical architecture reviews, integration evaluations, product demonstrations, and technical training.
Cultivate trusted relationships with key decision-makers, including CTOs, CISOs, and enterprise AI leaders. Serve as an AI evangelist to educate customers on agentic AI best practices, secure AI deployment, and position Virtue AI as the market leader in AI security solutions.
Qualifications Your Experience
Bachelors degree in electrical engineering, computer science, data science, information systems, or related technical field of study 5+ years of technical sales experience, including at least 2 years specializing in AI and related technologies. Demonstrated experience engaging with technical evaluators, including cloud or AI security engineers, data scientists, and AI/ML architects. Understanding of core AI technologies, including machine learning, deep learning, and generative AI. Hands- on experience with Docker and containerized workloads, Kubernetes (EKS, GKE, or equivalent). Deep understanding of core AI security concepts (e.g., access controls, identity management, network integration, endpoint detection and response, red-teaming, guardrails) Familiarity with popular agentic AI tools, AI infrastructure, and their associated security implications is preferred. Exemplary written, verbal, and presentation communication skills. Experience deploying production applications on cloud computing platforms (e.g., AWS, Azure, GCP) Ability to travel up to 50% to develop customer relationships and advance opportunities
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