AI Strategic Partnerships Solution Architect

🔥 1 minute ago

🗽 New York, Virginia – Remote

🗽 New York – Remote ⚔️ Virginia – Remote

💵 $152k - $246.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Palo Alto Networks

WebsiteLinkedInAll Job Openings

10,000+ employees

🔒 Cybersecurity

🏢 Enterprise

💰 $1M Seed Round - Morta Security on 2013-02

Cybersecurity • Enterprise

Palo Alto Networks is a global cybersecurity company that provides AI-driven platforms, products, and services to protect networks, cloud workloads, endpoints, and applications. Its portfolio includes next-generation firewalls, SASE and Prisma Cloud (CNAPP) offerings, the Cortex security operations suite (XDR, XSOAR, XSIAM), and Unit 42 threat intelligence and incident response services. Palo Alto Networks helps enterprises secure AI deployments, automate SOC workflows, and prevent, detect, and respond to sophisticated threats across hybrid and multi-cloud environments.

📋 Description

• 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

• 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

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