Why Join Us?
We’re looking for an
AI Automation Engineer - a
creator and systems thinker who thrives at the intersection of
business processes, engineering excellence, and applied AI.
In this role, you’ll play a key part in
designing and scaling the organization’s AI agent ecosystem, working closely with cross-functional teams to build agents that
enhance and transform both business and technical workflows.
You’ll join the
AI Business Innovation Team, working with a
modern tech stack including
n8n, Python, Java, cloud technologies, APIs, microservices, and internal CI/CD tooling. You will
build automation at scale, take
end-to-end ownership over
workflow infrastructure, governance, and organization-wide enablement, and directly impact how Check Point operates.
Key Responsibilities
- Design, build, and maintain scalable and resilient automation workflows and reusable components within the n8n ecosystem.
- Develop and support AI-driven agents that automate, optimize, and accelerate both business and technical processes across the organization.
- Define and implement governance standards focused on security, reliability, observability, and operational excellence.
- Collaborate cross-functionally with product, engineering, and business teams to deliver automation and AI solutions that solve real organizational challenges.
- Continuously improve the automation platform by monitoring workflow performance, strengthening infrastructure, and driving overall platform maturity.
Qualifications
- 1-3 years of experience in automation engineering, workflow automation, integration engineering, or software engineering.
- B.Sc. graduate or current student in Software Engineering, Information Systems, Industrial Engineering, or equivalent practical experience.
- Hands-on experience with automation / orchestration tools such as n8n, Node.js, or similar platforms.
- Strong expertise in API integrations, workflow design, automation best practices, and secure development.
- Solid understanding of REST APIs, JSON, Git, CI/CD, and modern automation tooling.
- Strong problem-solving skills, with the ability to simplify complex processes and build reliable systems.
- A collaborative and supportive team player.
- Strong motivation for continuous learning and improvement.
- Background in AI – an advantage.