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Youll join a high-impact team defining the future of mobile protection through cutting-edge research, smart engineering, and large-scale data-driven and AI based detection.

If youre ready to push boundaries, grow your expertise, and build technology that defines the standard for mobile cybersecurity, come lead with us.





Key Responsibilities
Join Check Points Mobile Detection Engines and Researchers team - the team that combines cybersecurity expertise and advanced development to protect Harmony Mobile clients, the market leader in mobile cybersecurity.

We design and build dynamic, static, AI based, and innovative detection engines that analyze and protect millions of clients worldwide across both Android and iOS.

If youre passionate about meaningful technology and want your ideas to directly impact millions of detection verdicts, join a team of experienced cybersecurity experts, developers, and researchers driven by excellence and innovation - a team that believes in learning from each other, giving every teammate the freedom to grow, make an impact, and help us push the boundaries of mobile detection even further.

What Youll Do-

Design, develop, and scale cloud-based systems that enable next-generation mobile detection capabilities.
Create POCs and evolve them into mature, production-ready systems that deliver real protection.
Work closely with malware researchers and data scientists to convert innovative ideas into effective detection logic.
Approach complex challenges with clear, simple, and practical solutions that drive impact.
Take ownership from design to delivery - writing efficient, maintainable code, performing design reviews, and mentoring teammates.
Build data-driven pipelines and automation frameworks that turn research insights into production-grade detections.

The AI Transformation Architect plays a central role in driving Check Points enterprise-wide AI transformation. Reporting to the VP of AI Transformation, this role defines and builds the technical and architectural foundations that power our AI-driven software organization.

The Architect leads the design and implementation of scalable Generative 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 SDLC 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 Points 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.

Job Id: 24327

Harmony SASE is building the next generation of secure access services - enabling organizations to connect users, sites, and applications safely and seamlessly from anywhere.

As part of our ongoing innovation, were expanding our capabilities around AI-driven development and automation. The Dev AI Infra & Tools team leads this transformation -building the internal platforms, data pipelines, and tooling that empower our engineers to design, test, and deliver faster, smarter, and more securely.

Youll work hands-on with LLMs, automation frameworks, and internal developer systems - experimenting, prototyping, and building real solutions that change the way we work.

Key Responsibilities:
Design and develop AI-driven internal tools and frameworks that enhance developer productivity.
Build and maintain the infrastructure that supports LLM-based workflows, data pipelines, and automation systems.
Prototype quickly - testing new ideas and iterating based on real feedback and performance data.
Collaborate with DevOps, backend, and product engineers to identify high-impact use cases for AI and automation.
Evaluate new AI technologies and bring the most promising ones into production.
Help define metrics for efficiency and continuously improve development velocity and experience.