AI Transformation Architect

Why Join Us?

The Architect leads the design and implementation of scalable AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how Check Point builds, delivers, and operates products.

Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.

Strategic Objectives

• Accelerate AI Transformation across the organization by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
• Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
• Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how Check Point’s products are built and operated, directly benefiting customers and business performance.
• Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
  
  

• Design and own the end-to-end architecture that enables the company’s AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
• Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
  
  

• Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
• Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
• Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
  
  

• Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
• Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
• Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
  
  

• Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
• Mentor internal architects and tech leads to develop AI-native architectural competencies.
  
  

• 10+ years in software or platform architecture, including experience leading cross-organizational transformations.
• Proven track record of designing large-scale, data-driven, or AI-enabled systems.
• Experience delivering projects with measurable business outcomes and ROI.
  
  

• Enterprise and cloud-native architecture (multi-tenant, microservices, API-first, distributed systems).
• Deep understanding of AI/ML infrastructure, LLM integration patterns, agent frameworks, and MLOps.
• Familiarity with data engineering, retrieval-augmented generation (RAG), and workflow orchestration (e.g., n8n, LangChain).
• Background in cyber security or secure software design - strong advantage.
  
  

• Transformation-oriented thinker who connects technology to organizational capability and business strategy.
• Excellent communicator and influencer at multiple levels (executive to technical).
• Bias for action, simplification, and measurable outcomes.
  
  

• Being part of the core transformation team shaping how Check Point builds, ships, and operates in the AI era.
• Leading the architecture and central services for AI used across the organization.
• Driving strategic, ROI-driven initiatives that positively disrupt product operations and enhance customer experience.