Global Solutions Architect – AI and Automation

Job not on LinkedIn

🔥 3 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $175.2k - $240.9k / 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

• Own the Technical Services automation portfolio, including scripts, API integrations, configuration migration and validation tooling, and workflow orchestration • Architect and own production platforms for maturity and security assessments across NGFW, Strata Cloud Manager, Prisma Access, Cloud-Delivered Security Services, and Prisma SD-WAN • Design assessment catalogs, parsers, and evaluators with measurable accuracy • Design and operate multi-agent AI systems on frontier models such as Gemini and Claude on Vertex AI • Apply zero-trust principles, least-privilege access, workload segmentation, encryption, continuous verification, and telemetry • Threat-model and secure AI systems against prompt injection, excessive agency, sensitive-data disclosure, insecure tool access, and RAG data leakage • Build full-stack features in TypeScript, Python, and React with authorization, tenant isolation, credential encryption, and audit logging • Operate CI/CD pipelines and Terraform-managed infrastructure on GKE across multiple regions • Validate platform changes against live firewall, Prisma Access, and SD-WAN lab environments • Lead harness engineering, including agent harnesses, skills, MCP servers, sub-agent roles, hooks, context files, and quality gates • Apply automation and AI to documentation, enablement content, service SKU development, and launch readiness • Translate Technical Services priorities into architecture, roadmaps, and delivered capabilities • Provide senior leadership updates on progress, risks, automation ROI, adoption, engagement outcomes, and AI spend • Deliver tooling, enablement, and reference architectures to Customer Success and Professional Services teams • Publish guidance, present at internal forums, and shape the organization’s secure-AI point of view • Collaborate with Product, Engineering, Sales, Security, and IT • Contribute to open-source SDKs for Palo Alto Networks APIs • Mentor engineers, publish reference implementations, and hold regular office hours

🎯 Requirements

• 8–12 years of professional software development experience • At least one full-stack system designed, shipped to production, and owned after launch • Expert full-stack engineering across frontend, backend APIs, relational data modeling and SQL, cloud infrastructure, containers and Kubernetes, infrastructure as code, and CI/CD • Working proficiency in TypeScript and Python • Experience with first-principles architecture decisions • Software design and testing discipline, including clear interfaces, separation of concerns, dependency injection, and automated tests in CI • Strong cybersecurity foundation, including OWASP Top 10, secure coding, threat modeling, OAuth 2.0, OIDC, mTLS, RBAC, secrets and key management, and secure software supply chains • Ability to apply NIST SP 800-207 and CISA Zero Trust Maturity Model principles • Network and security engineering knowledge, including routing, segmentation, policy, VPN, SASE, and threat prevention • Hands-on experience with LLMs, agents, skills, MCP, and coding agents • Advanced harness engineering knowledge, including context and memory management, tool and skill design, guardrails, permissions, verification loops, evaluation, and cost/token control • Traditional automation experience with REST and XML APIs, Python, Bash, configuration-as-code, infrastructure as code, and workflow orchestration • Advanced AI concepts, including context windows, tool calling, structured outputs, RAG, embeddings, evaluation, hallucination, and non-determinism • Production experience building and operating an LLM-backed application with tool-using agents • Knowledge of OWASP Top 10 for LLM Applications and Agentic Applications, MITRE ATLAS, and NIST AI Risk Management Framework • Experience with prompt-injection controls, excessive-agency controls, sensitive-data protection, MCP security, RAG permission boundaries, and AI supply-chain risk • Production experience on a major cloud, preferably Google Cloud, and infrastructure as code using Terraform or OpenTofu • Ability to communicate with executives and produce design documents and status reports • Track record of cross-functional influence across business units and teams • Comfortable working asynchronously with global teams across time zones • Bachelor's degree in Computer Science, Software Engineering, Electrical or Computer Engineering, or a related technical field • Preferred: PAN-OS, Panorama, Strata Cloud Manager, Prisma Access, PCNSE, AI security platforms, AI red teaming, network automation, Google ADK, Claude Agent SDK, MCP servers, professional-services documentation, Bun, Hono, Zod, Drizzle, Vite, Cortex, multi-region architecture, data residency, cloud FinOps, CISSP, CCSP, OSCP, open-source maintenance, or engineering-practice leadership

🏖️ Benefits

• Restricted stock units • Bonus • Reasonable accommodations for qualified individuals with a disability or special need • Immigration sponsorship is not available

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