AI Sales Engineer, SLED

Fortinet

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Miami, FLChicago, ILNew York, NYDallas, TXSacramento, CA
Salary: $220,000–$260,000 / yr
Employment: Full-time
Posted: 8 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k

This role $240k

$146k $272k

below market most similar roles pay here above market

This role pays more than 72% of similar roles. Most pay $162,000–$241,750 — the blue band above. At the midpoint, this role pays about $240k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Fortinet

Fortinet is a US-based cybersecurity company best known for its FortiGate next-generation firewalls. It sells a broad security platform spanning network security, SD-WAN, endpoint protection, cloud security, and SIEM/SOC operations.

Fortinet currently has 102 open roles on FindRole.

Listed pay typically runs $140,000–$183,000 across 77 roles with salary data.

Most-posted roles

View all roles at Fortinet

At a glance

TL;DR · AI Sales Engineer, SLED

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The AI Sales Engineer, SLED joins the team to drive the technical execution and adoption of AI security solutions. This pre-sales role involves partnering with specialists to shape go-to-market strategies, conducting technical discovery, and performing architecture deep dives. You will build and manage demo environments, lead product demonstrations, and facilitate post-sales technical handovers. Key responsibilities include training regional engineers, engaging channel partners, and assisting customers with deploying security solutions in self-hosted environments. Required skills include experience with machine learning, deep learning, and generative AI, alongside hands-on proficiency with Docker, containerized workloads, and Kubernetes. You must understand core security concepts like identity management, red-teaming, and guardrails while deploying production applications on cloud platforms like AWS, Azure, and GCP to secure homegrown and agentic AI tools.

Skills

Artificial Intelligence Machine Learning Deep Learning Generative AI Docker Kubernetes AWS Azure GCP EKS GKE AI Security Identity Management Network Integration Endpoint Detection and Response Red-teaming

What you'll do

Provide technical support for discovery, architecture deep dives, and proof of concepts (POCs).
Assist customers with the deployment of AI security solutions in self-hosted environments.
Lead customer-facing engagements including technical architecture reviews, integration evaluations, and product demonstrations.
Train and enable regional Sales Engineers on product capabilities, roadmaps, and live demonstrations.
Manage demo environments, certifications, training materials, and performance benchmarking.
Equip channel and reseller partners with technical expertise and resources to close security opportunities.
Facilitate post-sales technical handovers to ensure successful deployments and long-term customer success.
Educate customers on agentic AI best practices and secure AI deployment strategies.

What we're looking for

Bachelor's degree in electrical engineering, computer science, data science, information systems, or a related technical field.
5+ years of technical sales experience.
At least 2 years of experience specializing in AI and related technologies.
Demonstrated experience engaging with technical evaluators such as 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, and Kubernetes (EKS, GKE, or equivalent).
Deep understanding of core AI security concepts like access controls, identity management, network integration, and red-teaming.
Experience deploying production applications on cloud computing platforms such as AWS, Azure, or GCP.
Familiarity with popular agentic AI tools, AI infrastructure, and their associated security implications (preferred).
Ability to travel up to 50% to develop customer relationships and advance opportunities.