AI Strategic Partnerships Solution Architect

Posted 1 day ago

This is a fully remote position, open to applicants in New York, +1 more state.

📋 Description

• Collaborate with Product Management to outline product and partnership strategies along with execution plans.

• Take ownership of the partnership roadmap, technical strategy, and business plan.

• Work alongside technical marketing engineering and engineering teams to develop technology value propositions and partner demonstrations.

• Lead discussions on pricing, design, and architecture while influencing product roadmaps.

• Establish market positioning for collaborative partner solutions.

• Coordinate with partners and cross-functional teams on trade-offs, decisions, ownership, and execution.

• Partner with product counsel, legal, and marketing teams to support partnerships.

• Develop architecture diagrams and technical blueprints to ensure secure AI deployments across cloud, data center, and hybrid environments.

• Identify and document insertion points for Prisma AIRS within AI Model Security, AI Red Teaming, AI Runtime Security, and AI Agent Security.

• Map GSI AI technology stacks, which include LLMs, vector databases, orchestration frameworks, MCP servers, and cloud-native AI services.

• Create joint use cases and articulate technical value propositions for GSIs, consulting firms, and technology ISVs.

• Design partner integrations and facilitate enablement workshops, architecture reviews, and technical sessions.

• Develop joint reference architectures in collaboration with GSI and ISV partners.

• Engage with lighthouse customers to validate architectures in production and generate case studies.

• Package validated architectures, POC scripts, and deployment guides into reusable resources.

• Create publication-quality architecture diagrams and executive-ready technical presentations.

• Develop reusable, partner-ready visual assets and architecture templates.

• Write, review, and maintain Python scripts and integration code.

• Configure and test AI inference pipelines utilizing NVIDIA NIM, Together.ai, and major cloud inference services.

• Construct end-to-end technical proofs of concept to demonstrate AI security controls.

• Set up AI gateways and integrate Prisma AIRS APIs within partner environments.

• Represent Palo Alto Networks as an authority on AI security architecture in partner meetings, industry forums, and advisory sessions.

• Translate field observations into actionable product and engineering feedback.

• Keep abreast of emerging AI technologies, inference platforms, and agentic frameworks.


⛳️ Requirements

• Over 10 years of experience in Product Management, Technology Consulting, Solutions Architecture, Systems Engineering, or Technical Partner Management, with a focus on AI/ML and/or cloud security architectures.

• Demonstrated experience collaborating with major GSIs and top-tier management consulting firms.

• In-depth, hands-on knowledge of LLM integrations, AI gateways, RAG pipelines, agentic workflows, and vector databases.

• Ability to quickly master the Prisma AIRS portfolio.

• Prior familiarity with Palo Alto Networks firewalls and CDSS.

• Strong comprehension of data center security architectures, NGFW deployment, threat prevention, and securing AI workloads.

• Understanding of AI agent security, least-privilege access, and identity management within AI workflows.

• Proficient in Python scripting, API integrations, and configuration of inference platforms.

• Expert-level capability to produce detailed architecture diagrams and executive presentations using Lucidchart, Google Slides, or similar tools.

• Exceptional skill in articulating technical value propositions to technical engineers and C-level executives.

• Deep enthusiasm for emerging AI architectures, inferencing technologies, and AI security.

• A degree in Computer Science, Computer Engineering, or a related technical discipline is preferred.

• Practical experience with AI model security, AI red teaming, and securing MCP interactions is preferred.

• Technical expertise in NVIDIA NIM, AI Enterprise, and GPU inference infrastructure is preferred.

• Experience with Together.ai, Neoclouds, or equivalent inference providers is preferred.

• Familiarity with identity management patterns in AI workflows is a bonus.


🏝️ Benefits

• Restricted stock units.

• Bonus.

• Employee benefits package.

• Immigration sponsorship.

• Reasonable accommodations for qualified individuals with a disability or special need.

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