AI Security Solutions Architect

Role Description

At Palo Alto Networks, we are at the forefront of securing the evolving Artificial Intelligence (AI) landscape. We are seeking a passionate and experienced AIRS Solutions Specialist to support the go-to-market (GTM) strategy and execution for our rapidly growing AI security solutions. This critical 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 generative AI tools.

• Define and execute on our GTM strategy for AI security solutions, focusing on accelerating customer adoption of our solutions for securing the creation and usage of AI applications.
• Collaborate with cross-functional teams to drive pipeline generation, customer engagements and market penetration.
• Support the development and execution of strategies to identify, qualify and convert a robust pipeline of potential customers for AI security solutions.
• Conduct thorough market research and competitive analysis to identify key market segments and opportunities.
• Lead customer-facing activities, including presentations, demonstrations and proof-of-value (POVs).
• Engage in technical conversations with customers regarding AI security challenges and solutions, including topics such as securing RAG models, prompts, vector databases, etc.
• Build strong relationships with key customer stakeholders, including C-level executives, security and IT leaders.
• Collaborate closely with sales, marketing, product management and engineering teams to ensure alignment and effective go-to-market execution.
• Be an evangelist to further educate customers of generative AI and positioning PANW for securing AI projects.

Qualifications

• 7+ years of technical professional experience including 3+ years of experience in AI and related fields, with a strong focus on technical sales, strategy and execution.
• Proven track record of success contributing to high-performing technical sales or solution architecture teams.
• Deep understanding of AI technologies, including machine learning, deep learning and generative AI.
• Ideally, experienced with security solutions and the cybersecurity market, including data security, network security and security applied to generative AI.
• Experience with popular generative AI tools and their security implications preferred.
• Strong understanding of cloud computing platforms (e.g., AWS, Azure, GCP).
• Ability to thrive in a fast-paced, dynamic environment and adapt to changing market conditions.

Company Description