AI Sales Engineer

Responsibilities: Partner with AI Sales Specialist to shape GTM and drive greenfield and existing accounts Enable and train regional Sales Engineers on product capabilities and demonstrations Support technical discovery, architecture deep dives, and POCs throughout the sales cycle Assist customers with deployment of AI Security solutions in self-hosted environments Maintain demo environments, certifications, training materials, and performance benchmarks Engage channel and reseller partners with necessary technical resources Collaborate with internal SEs and partners to identify, qualify, and close AI Security opportunities Lead customer-facing engagements including architecture reviews, evaluations, demos, and technical training Facilitate post-sales handovers for successful deployments and long-term customer success Cultivate relationships with CTOs, CISOs, and enterprise AI leaders Serve as an AI evangelist to educate customers on best practices and secure deployment Position Fortinet as the market leader in AI security solutions

Key requirements: Bachelors degree in a technical field (Electrical Engineering, Computer Science, Data Science, Information Systems, or related) 5+ years of technical sales experience, including at least 2 years in AI or related technologies Proven experience engaging with technical evaluators (cloud/AI security engineers, data scientists, AI/ML architects) Strong understanding of AI technologies (machine learning, deep learning, generative AI) Hands-on experience with Docker and containerized workloads, Kubernetes (EKS, GKE, or equivalent) Deep understanding of core AI security concepts (access controls, identity management, network integration, EDR, red-teaming, guardrails) Familiarity with agentic AI tools, AI infrastructure, and their security implications preferred Excellent written, verbal, and presentation communication skills Experience deploying production applications on AWS, Azure, or GCP Ability to travel up to 50% Effective written and verbal communication Relationship-building with key decision-makers Collaborative and customer-centric mindset Docker Kubernetes (EKS, GKE) Cloud platforms (AWS, Azure, GCP)