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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Solutions Architect - Network Security & AI (Americas) - **Company:** Check Point Software Technologies Ltd. - **Location:** Houston, TX, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Kubernetes Security, Link Aggregation (Ethernet), Artificial Intelligence, Computer Vision, Border Gateway Protocol, Cloud Computing Security, Encodings, Data Centers, Domain Name System Security Extensions, Ethernet, InfiniBand, Information Security Management, Intrusion Detection and Prevention, Python (Programming Language), Network Security, Modbus, Network Segmentation, Open Web Application Security, Ansible, Zero Trust Network Access, OPC Unified Architecture, Virtual Local Area Networks, Wide Area Networks, AI Infrastructure, Enterprise Data Management, Transport Layer Security, System Availability, Large Language Models, Software Security, Software Troubleshooting, HybridCloud, Firewalls (Computer Science), Juniper, Palo Alto Networks, Malware Detection, Fortinet, Machine Learning Operations, Firepower, Terraform, Cisco - **Published:** July 20, 2026 - **Apply:** https://www.careerjet.com/jobad/us64372dceb7d7453ceb6afc9f00f11d43 ## About the Role * 8+ years in network security, with significant time in a customer-facing pre-sales, solutions architect, or sales engineering role. * Demonstrated track record owning and winning NGFW and Maestro POVs / POCs end-to-end, with strong stakeholder management through to technical decision and commercial close. * Extensive hands-on NGFW experience in enterprise data center and hybrid cloud environments - not branch / campus only. * Strong production experience with Check Point Maestro hyperscale architectures, including multi-MHO topologies, security group design, and inter-stack interconnect. * Hands-on experience with at least one additional Tier-1 NGFW platform at comparable scale (Palo Alto PAN-OS / Strata, Fortinet FortiGate, Cisco Secure Firewall / Firepower, Juniper SRX, or equivalent). * Working knowledge of SASE / SSE / SD-WAN architectures and modern threat prevention services - IPS, anti-bot, anti-malware, sandboxing/threat emulation, URL filtering, TLS/SSL inspection, DNS security, and CDR. * Demonstrated understanding of AI security across the GenAI lifecycle, including: * RAG pipeline security (vector store hardening, embedding leakage, data poisoning, retrieval injection) * MCP (Model Context Protocol) server exposure and agentic tool-use risk * LLM application security aligned to OWASP Top 10 for LLMs, MITRE ATLAS, and NIST AI RMF * AI-SPM, model supply chain risk, and shadow-AI / GenAI usage governance * Familiarity with AI data center / AI factory concepts: GPU cluster networking, RoCEv2 / InfiniBand awareness, Nvidia Spectrum-X and DGX reference architectures, and secure east/west insertion for training and inference workloads. * Exposure to AI smart factory / Industry 4.0 environments, including IT/OT convergence, IEC 62443-aligned segmentation, industrial protocol awareness (Modbus, OPC UA, Profinet, EtherNet/IP), and securing AI-driven automation, computer vision, and predictive maintenance workloads. * Proven experience designing and delivering technical enablement (ILT, VILT, hands-on labs, workshops) to customers and partners. * Deep data center switching expertise: L2/L3, VLAN/VXLAN, EVPN, BGP, LACP/MLAG, and the design considerations for inserting firewall clusters into modern leaf/spine fabrics. * Hands-on experience with Nvidia BlueField DPUs (or comparable SmartNIC / IPU platforms) at 100 GbE, including provisioning, offload configuration, DOCA familiarity, and performance troubleshooting. * Excellent written, verbal, and whiteboarding skills; able to present credibly to network/security engineers, enterprise architects, and C-level stakeholders (CISO, CIO, CTO). * Comfortable traveling 20-30% across the Americas, including occasional LATAM travel; valid passport required. * Spanish or Portuguese language skills are a plus given LATAM coverage. Nice to Have * CCIE / CCNP, CCSE / CCSM / CCTE, PCNSE, NSE 7+, or equivalent industry certifications. * Check Point Certified Trainer (CCSI) or equivalent formal training credential. * Prior experience in a vendor or VAR pre-sales SA / SE organization with regional or theater-level coverage. * Hands-on experience with GenAI security platforms (Check Point GenAI Protect, Palo Alto AI Runtime Security, Protect AI, Prompt Security, Lakera, Robust Intelligence) and guardrail frameworks (NeMo Guardrails, Llama Guard, Guardrails AI). * Exposure to Nvidia AI reference architectures (DGX SuperPOD, Spectrum-X, BlueField DOCA) and AI factory / smart manufacturing deployments. * Automation and Infrastructure-as-Code experience (Ansible, Terraform, Python) for firewall policy, fabric, and security service orchestration. * Familiarity with cloud-native security (CNAPP, CWPP, CSPM) and container/Kubernetes security in AI/ML pipelines. * Experience with DPU-accelerated security and networking use cases (DOCA, OVS offload, line-rate telemetry, in-line threat inspection). ## Description * Own the end-to-end POV / POC lifecycle across the Americas - qualification, scoping, success criteria definition, lab and on-site build, test plan execution, results analysis, executive readouts, and handoff to post-sales. * Partner with account teams (Account Executives, SEs, Channel Managers) as the lead technical authority on NGFW, Maestro, and AI security opportunities; translate customer business requirements into winning technical solutions. * Architect, demonstrate, and validate NGFW platforms across on-prem, colo, hybrid cloud, and AI factory environments, with a focus on high availability, elastic scale, low-latency throughput, and Zero Trust segmentation. * Design and demonstrate Check Point Maestro hyperscale deployments, including multi-stack scaling, multi-MHO orchestration, security group design, and seamless inter-site / inter-DC interconnect. * Engineer reference designs and POC topologies for the underlying data center fabric required to support Maestro orchestration, micro-segmentation, and east/west inspection at scale across leaf/spine and EVPN-VXLAN topologies. * Demonstrate and validate Nvidia BlueField DPU integrations at 100 GbE (and emerging 400 GbE) for accelerated security services, including DOCA familiarity, host onboarding, and performance benchmarking. * Architect and showcase security for AI factories and AI-ready data centers, including GPU cluster east/west protection, secure multi-tenant model training and inference fabrics, and high-throughput inspection points across RoCEv2 / InfiniBand-adjacent networks. * Lead AI security POVs across the GenAI stack - securing RAG pipelines (vector DB access, embedding integrity, data poisoning, prompt-injection defense), MCP servers and agentic tool-use workflows, model and inference endpoints, and shadow-AI discovery - aligned to OWASP Top 10 for LLMs, MITRE ATLAS, and NIST AI RMF. * Position and demonstrate AI-SPM (AI Security Posture Management), DLP, and CASB-style controls to govern enterprise GenAI usage and protect sensitive data in transit to public and private LLMs. * Architect and demonstrate integrated SASE / SD-WAN solutions with data center security, delivering unified policy across user-to-app, branch-to-DC, and DC-to-cloud traffic flows. * Develop and deliver technical enablement - instructor-led training, hands-on labs, design workshops, lunch-and-learns, and reference materials - for customers, partners, and internal field teams across the Americas. * Lead competitive evaluations, bake-offs, and migrations between Check Point and other NGFW platforms (Palo Alto, Fortinet, Cisco, Juniper, Zscaler, etc.); produce HLDs, LLDs, BoMs, design guides, and operational runbooks. * Represent the company at customer briefings, executive business reviews (EBRs), partner events, regional trade shows, and industry conferences across the Americas. * Provide structured field feedback to Product Management and Engineering on customer requirements, competitive gaps, and emerging use cases - particularly in AI security and AI infrastructure. ## Related Videos - [Building, securing and governing AI infrastructure in the Era of Agentic AI](https://www.wearedevelopers.com/videos/100129-building-securing-and-governing-ai-infrastructure-in-the-era-of-agentic-ai) - [Dev & Test in the Cloud? 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