AI Partnerships Solutions Architect

Palo Alto Networks • Charlotte, NC

7d • Remote

About The Position

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters.

Requirements

• 8+ years in Solutions Architecture, Systems Engineering, or Technical Partner Management with a dedicated focus on AI/ML and/or cloud security architectures.
• Proven experience working at or in close partnership with major GSIs (Deloitte, Cognizant, NTT) and top-tier management consulting firms (McKinsey, BCG), with an understanding of how they architect and sell AI solutions.
• Deep, hands-on understanding of modern AI solution architectures including LLM integrations, AI gateways, RAG pipelines, agentic workflows, and vector databases.
• Ability to rapidly master the Prisma AIRS portfolio. Prior knowledge of Palo Alto Networks firewalls and CDSS is critical.
• Strong understanding of data center security architectures including NGFW deployment, threat prevention, and securing AI workloads against prompt injection, insecure outputs, and model vulnerabilities.
• Understanding of how to secure AI agents, enforce least-privilege access, and manage identity within complex AI workflows.
• Proficiency in Python scripting, API integrations, and inference platform configuration.
• Expert-level ability to create detailed architecture diagrams and executive presentations using Lucidchart, Google Slides, and equivalent tools.
• Exceptional ability to articulate complex technical value propositions to both deeply technical engineers and C-level executive stakeholders.
• Deeply passionate about emerging AI architectures, new inferencing technologies, and driving innovation at the frontier of AI security.

Nice To Haves

• Strong software engineering or development background, enabling credibility and deep collaboration with partner technical teams.
• Hands-on experience with AI model security, AI red teaming, and securing Model Context Protocol (MCP) interactions.
• Technical knowledge of NVIDIA NIM, AI Enterprise, and GPU inference infrastructure.
• Experience with inference platforms such as Together.ai, Neoclouds, or equivalent providers.
• Understanding of identity management patterns in AI workflows is nice to have.

Responsibilities

• Design comprehensive architecture diagrams and detailed technical blueprints for secure AI deployments across cloud, data center, and hybrid environments.
• Identify and document critical insertion points for the full Prisma AIRS portfolio - AI Model Security, AI Red Teaming, AI Runtime Security, and AI Agent Security - within partner-built AI solutions.
• Navigate and map typical GSI AI tech stacks including LLMs, vector databases, orchestration frameworks (LangChain, LlamaIndex), MCP servers, and cloud-native AI services to design seamless AIRS integration patterns.
• Demonstrate an exceptional ability to learn new and emerging technologies quickly, translating nascent capabilities — such as new inference providers or evolving agentic frameworks — into actionable architecture patterns.
• Create compelling, scenario-based use cases that demonstrate how GSIs, consulting firms, and technology ISVs can integrate and embed Prisma AIRS into their managed services, platforms, and customer-facing solutions.
• Build joint technical value propositions with partners, connecting partner AI capabilities to Prisma AIRS security outcomes, covering prompt injection prevention, data leakage protection, AI agent security, and model vulnerability defense.
• Engage technology ISV partners such as ServiceNow and NVIDIA ecosystem partners to identify and productize integration patterns that embed Prisma AIRS natively within their platforms.
• Deliver technical workshops, architecture reviews, and enablement sessions with GSI and consulting firm technical teams to build partner-side Prisma AIRS expertise at scale.
• Build joint reference architectures co-developed with GSI and ISV partners, grounded in real-world deployment patterns, that serve as the definitive blueprint for secure AI adoption using Prisma AIRS.
• Work directly with lighthouse customers alongside partner teams to validate reference architectures in production environments, creating case studies and proof points that accelerate broader market adoption.
• Articulate the technical and business value of Prisma AIRS to both deeply technical engineering teams and executive stakeholders at partner organizations and their end customers.
• Package validated architectures, POC scripts, and deployment guides into repeatable, self-service assets that partner technical teams can leverage independently.
• Design and produce detailed, publication-quality architecture diagrams that illustrate how Prisma AIRS integrates within partner AI solutions. Diagrams must be clear enough for a GSI architect to present directly to an enterprise customer without additional explanation.
• Expert-level use of Lucidchart for architecture diagrams and Google Slides for executive-ready technical presentations. Ability to build layered, visually clean diagrams that work equally well in a partner boardroom and a technical deep-dive.
• Translate multi-layer AI system architectures spanning inference infrastructure, orchestration frameworks, data pipelines, and security controls into clear, logical visual flows that non-specialist audiences at GSI, Consulting, and ISV partners can grasp and champion internally.
• Build a library of reusable architecture templates, slide decks, and diagram components tailored to each partner type - GSI delivery teams, consulting practice leads, and ISV platform architects - so that Prisma AIRS integration patterns are easy to adopt, customize, and embed in partner proposals.
• Write, review, and maintain Python scripts and integration code that demonstrate Prisma AIRS capabilities, automate security configurations, and power functional proof-of-concepts.
• Configure and test AI inference pipelines using platforms such as NVIDIA NIM, Together.ai, and major cloud inference services, integrating Prisma AIRS security controls at each layer.
• Build end-to-end technical POCs that demonstrate secure AI interactions, prompt injection detection, data loss prevention, and AI agent behavior monitoring - and document them visually so partners can replicate and extend the work.
• Configure AI gateways and integrate Prisma AIRS APIs within partner technology environments to validate real-world deployment scenarios.
• Act as the internal and external authority on AI security architectures, representing Palo Alto Networks in executive partner meetings, industry forums, and technical advisory sessions.
• Translate field observations from partner deployments and customer engagements into actionable feedback for Prisma AIRS product and engineering teams.
• Monitor emerging AI technologies, new inferencing platforms, and evolving agentic frameworks to ensure Prisma AIRS insertion strategies remain current and ahead of the market.

Benefits

• A description of our employee benefits may be found here.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior