AI Sales Engineer, SLED

This is a fully remote position, open to applicants in Texas.

📋 Description

• Collaborate with the AI Sales Specialist to develop and implement the go-to-market strategy for AI Security solutions throughout the region.

• Enhance current customer accounts while pursuing new acquisition opportunities.

• Train and enable regional Sales Engineers on product features, future developments, and the delivery of live demonstrations.

• Assist with technical discovery processes, in-depth architecture analysis, and proof of concepts during the sales cycle.

• Support customers in deploying AI Security solutions within self-hosted environments.

• Manage demo environments and oversee the certification process, training materials, and performance benchmarking.

• Provide technical expertise and resources to channel and reseller partners.

• Work alongside internal sales engineers and partners to identify, qualify, and finalize AI Security deals.

• Conduct customer-facing architecture reviews, integration assessments, product demonstrations, and technical training sessions.

• Facilitate post-sales technical handovers to ensure successful deployments and long-term customer satisfaction.

• Build relationships with CTOs, CISOs, and enterprise leaders in AI.

• Inform customers about best practices in agentic AI and secure AI deployment, establishing Virtue AI as a leader in the AI security market.

⛳️ Requirements

• A Bachelor's degree in electrical engineering, computer science, data science, information systems, or a related technical discipline.

• Over 5 years of experience in technical sales, with a minimum of 2 years focused on AI and related technologies.

• Proven experience engaging with technical evaluators, including cloud or AI security engineers, data scientists, and AI/ML architects.

• Strong understanding of essential AI technologies such as machine learning, deep learning, and generative AI.

• Practical experience with Docker and containerized workloads, as well as Kubernetes (EKS, GKE, or similar).

• In-depth knowledge of fundamental AI security concepts, including access controls, identity management, network integration, endpoint detection and response, red teaming, and guardrails.

• Familiarity with popular agentic AI tools, AI infrastructure, and their associated security considerations is a plus.

• Excellent written, verbal, and presentation communication skills.

• Experience in deploying production applications on cloud platforms like AWS, Azure, or GCP.

• Willingness to travel up to 50% of the time.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health benefits, including medical, dental, and vision coverage.

• Opportunities for professional development and continuous learning.

• Flexible working hours and remote work options.

• A dynamic and inclusive work environment that values innovation and collaboration.