Global Solutions Architect – AI and Automation

🕒 Outubro 28

🤠 Texas – Remoto

🤠 Texas – Remote

💵 $175.200 - $240.900 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 10%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Por que essa pontuação:

• Aberta há 13 dias.
• As vagas desta empresa costumam ser preenchidas em 45 dias.
• Repostada uma vez.

Candidatar-se

Encontrar Vagas Remotas Similares

Palo Alto Networks

SiteLinkedInTodas as Vagas

10.000+ funcionários

🔒 Cibersegurança

🏢 Corporativo

💰 $1.000.000 Seed Round - Morta Security em 2013-02

Cybersecurity • Enterprise

A Palo Alto Networks é uma empresa global de cibersegurança que fornece plataformas, produtos e serviços baseados em IA para proteger redes, workloads em nuvem, endpoints e aplicações. Seu portfólio inclui firewalls de próxima geração, ofertas SASE e Prisma Cloud (CNAPP), a suíte de operações de segurança Cortex (XDR, XSOAR, XSIAM) e os serviços de inteligência contra ameaças e resposta a incidentes da Unit 42. A Palo Alto Networks ajuda empresas a proteger implantações de IA, automatizar fluxos de trabalho SOC e prevenir, detectar e responder a ameaças sofisticadas em ambientes híbridos e multi-nuvem.

Descrição

• Own the Technical Services automation portfolio, including scripts, API integrations, migration and validation tooling, and workflow orchestration • Architect and own production platforms for maturity and security assessments across Palo Alto Networks security products • Design assessment catalogs, parsers, evaluators, and measurable readiness reporting • Design and operate multi-agent AI systems on frontier models such as Gemini and Claude on Vertex AI • Apply zero trust principles, identity-based access, least privilege, segmentation, encryption, continuous verification, and telemetry • Threat-model and secure AI systems against prompt injection, excessive agency, sensitive data disclosure, insecure tool access, RAG leakage, and supply-chain risks • 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 GKE infrastructure 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 • Report progress, risks, automation ROI, adoption, engagement outcomes, and AI spend to senior leadership • Deliver tooling, enablement, and reference architectures to Customer Success and Professional Services field teams • Publish guidance, present at internal forums, and shape secure AI adoption practices • 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

🎯 Requisitos

• 8–12 years of professional software development experience, including 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 • Applied first-principles design experience • Software design and testing discipline, including clear interfaces, separation of concerns, dependency injection, and automated tests enforced in CI • Strong cybersecurity foundation: OWASP Top 10, secure coding, threat modeling, OAuth 2.0, OIDC, mTLS, RBAC, secrets and key management, dependency pinning, SBOMs, and provenance • Zero trust architecture knowledge, including NIST SP 800-207 and the CISA Zero Trust Maturity Model • Network and security engineering knowledge: routing, segmentation, policy, VPN, SASE, and threat prevention • Hands-on experience with LLMs, agents, skills, MCP, and coding agents; advanced daily use of Claude Code or a similar agent harness • Harness engineering knowledge covering 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, retrieval-augmented generation, embeddings, evaluation, hallucination, and non-determinism • Production experience building and operating an LLM-backed application with tool-using agents • AI security knowledge including OWASP Top 10 for LLM Applications and Agentic Applications, MITRE ATLAS, and NIST AI Risk Management Framework • Production experience on a major cloud; Google Cloud preferred, including GKE, Cloud SQL, IAM, Secret Manager or KMS • Terraform or OpenTofu experience • Ability to present to senior leadership and produce design documents and status reports • Track record of cross-functional influence across business units and field 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, or PCNSE • Preferred: AI security platforms, AI guardrail or red-teaming tooling, Google SAIF, ISO/IEC 42001, NIST AI 600-1, AI red teaming, LLM evaluation, AI observability, Ansible, network Terraform providers, pan-os-python, Google ADK, Claude Agent SDK, MCP servers, professional services enablement, Bun, Hono, Zod, Drizzle, Vite, Cortex, multi-region architecture, data residency, FinOps, CISSP, CCSP, OSCP, open-source maintainership, or engineering-team leadership

🏖️ Benefícios

• Restricted stock units may be included • Bonus may be included • Reasonable accommodations for qualified individuals with a disability or special need

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo