AI Strategic Partnerships Solution Architect

Palo Alto Networks

. Collaborate with Product Management to define product and partnership strategy and execution plans .

Posted 9/28/2026full-timeRemote • United StatesSeniorLead💰 $152,000 - $246,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML and cloud security architectures, with a strong focus on partnership strategy, technical integrations, and architecture design. Proficient in creating detailed architecture diagrams and technical presentations while effectively communicating value propositions to diverse stakeholders.

Highest-signal resume keywords

Product ManagementAI/ML ArchitecturePython ScriptingArchitecture Diagram CreationGSI Partnership Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Gateway ConfigurationLLM IntegrationRAG Pipeline DevelopmentVector Database ManagementData Center Security ArchitectureAPI IntegrationInference Platform ConfigurationAI Security WorkflowsTechnical Value Proposition ArticulationArchitecture Review

Soft Skills

CollaborationCommunicationInfluencingProblem SolvingTechnical Presentation

Tools & Technologies

NVIDIA NIMLucidchartGoogle SlidesPrisma AIRSTogether.ai

Industry Keywords

Cloud SecurityAI SecurityNGFW DeploymentAI Model SecurityIdentity Management

Tech Stack

Tools & technologies

CloudFirewallsPython

About the role

Key responsibilities & impact

Collaborate with Product Management to define product and partnership strategy and execution plans
Own the partnership roadmap, technical plan, and business plan
Collaborate with technical marketing engineering and engineering teams to build technology value propositions and partner demos
Drive pricing, design, and architecture discussions and influence product roadmaps
Create market positioning for joint partner solutions
Align partners and cross-functional teams on tradeoffs, decisions, ownership, and execution
Work with product counsel, legal, and marketing teams supporting partnerships
Create architecture diagrams and technical blueprints for secure AI deployments across cloud, data center, and hybrid environments
Identify and document Prisma AIRS insertion points across AI Model Security, AI Red Teaming, AI Runtime Security, and AI Agent Security
Map GSI AI technology stacks, including LLMs, vector databases, orchestration frameworks, MCP servers, and cloud-native AI services
Create joint use cases and technical value propositions for GSIs, consulting firms, and technology ISVs
Develop partner integrations and enablement workshops, architecture reviews, and technical sessions
Build joint reference architectures with GSI and ISV partners
Engage lighthouse customers to validate architectures in production and create case studies
Package validated architectures, POC scripts, and deployment guides into reusable assets
Design publication-quality architecture diagrams and executive-ready technical presentations
Build reusable partner-ready visual assets and architecture templates
Write, review, and maintain Python scripts and integration code
Configure and test AI inference pipelines using NVIDIA NIM, Together.ai, and major cloud inference services
Build end-to-end technical proofs of concept demonstrating AI security controls
Configure AI gateways and integrate Prisma AIRS APIs in partner environments
Represent Palo Alto Networks as an AI security architecture authority in partner meetings, industry forums, and advisory sessions
Translate field observations into product and engineering feedback
Monitor emerging AI technologies, inference platforms, and agentic frameworks

Requirements

What you’ll need

10+ years in Product Management, Technology Consulting, Solutions Architecture, Systems Engineering, or Technical Partner Management, focused on AI/ML and/or cloud security architectures
Proven experience working at or in close partnership with major GSIs and top-tier management consulting firms
Deep, hands-on understanding of 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
Strong understanding of data center security architectures, NGFW deployment, threat prevention, and securing AI workloads
Understanding of AI agent security, least-privilege access, and identity management in 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, or equivalent tools
Exceptional ability to articulate technical value propositions to technical engineers and C-level executives
Deep passion for emerging AI architectures, inferencing technologies, and AI security
Education in Computer Science, Computer Engineering, or a related technical discipline is preferred
Hands-on experience with AI model security, AI red teaming, and securing MCP interactions is preferred
Technical knowledge of NVIDIA NIM, AI Enterprise, and GPU inference infrastructure is preferred
Experience with Together.ai, Neoclouds, or equivalent inference providers is preferred
Understanding of identity management patterns in AI workflows is nice to have

Benefits

Comp & perks

Restricted stock units
Bonus
Employee benefits package
Immigration sponsorship
Reasonable accommodations for qualified individuals with a disability or special need