Senior Information Systems Engineer – AI, Automation

Mobileye

. Design, implement, and maintain AI-powered solutions and automation workflows across enterprise IS platforms .

Posted 9/29/2026full-timeJerusalem • IsraelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing AI-powered solutions and automation workflows within Information Systems, with strong capabilities in integration development, project management, and technical documentation. Proficient in evaluating emerging AI technologies and driving innovation to enhance operational efficiency.

Highest-signal resume keywords

AI TechnologiesIntegration PlatformsAtlassian ProductsCoding and ScriptingProject Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI-Driven AutomationIntegration DevelopmentCustom ScriptsData OrchestrationTechnical Solutions

Soft Skills

Excellent CommunicationProactive OwnershipStakeholder Coordination

Tools & Technologies

JiraConfluenceAsanaMonday.comWorkato

Industry Keywords

Information SystemsEnterprise EnvironmentsAutomation WorkflowsCloud PlatformsIS Standards

Tech Stack

Tools & technologies

AWSAzureCloudERPGoogle Cloud PlatformGroovyJavaScriptPythonServiceNow

About the role

Key responsibilities & impact

Design, implement, and maintain AI-powered solutions and automation workflows across enterprise IS platforms
Evaluate, pilot, and deploy emerging AI tools and technologies to enhance IS capabilities, streamline processes, and improve operational efficiency
Lead cross-functional IS projects from requirements gathering through delivery, ensuring timely execution and alignment with business objectives
Develop and maintain custom scripts, connectors, and technical solutions to bridge gaps between platforms and enable seamless data flow
Continuously monitor the AI and IS technology landscape, proactively identifying opportunities for innovation and improvement
Contribute to the definition of IS standards, best practices, and architectural guidelines for AI and automation adoption
Collaborate with cross-functional teams to understand business needs and translate them into scalable, AI-enhanced IS solutions
Document technical designs, integration architectures, and operational procedures to ensure knowledge transfer and continuity
Approximately 80% hands-on engineering, integration development, and platform optimization; 20% strategic thinking, technology evaluation, and IS roadmap development

Requirements

What you’ll need

Bachelor's degree in Information Systems, Computer Science, Software Engineering, Industrial Engineering & Information Systems, or a related field
Minimum of 5 years of hands-on experience in Information Systems engineering, administration, or a comparable role in enterprise environments
Proven experience with Atlassian products (Jira, Confluence, and related tools) and familiarity with project/work management platforms such as Asana and Monday.com
Demonstrated knowledge and hands-on experience with AI technologies, tools, and frameworks as applied to Information Systems, including AI-driven automation, intelligent workflows, and AI-assisted development
Strong experience with integration platforms (e.g., Workato, N8N, or equivalent) and a solid understanding of APIs, webhooks, and data orchestration patterns
Solid coding and scripting abilities with the capacity to develop, debug, and maintain custom integrations, automation scripts, and technical solutions
Proven ability to independently manage and deliver IS projects end-to-end, including planning, stakeholder coordination, risk management, and execution
A strong track record of identifying opportunities for improvement, proposing innovative solutions, and driving change within an IS organization
Excellent written and verbal communication skills in English, with the ability to present complex technical concepts to both technical and non-technical audiences
Highly autonomous, proactive, and reliable — able to take ownership of initiatives and deliver results with minimal supervision
Nice to Have: Experience with additional IS platforms beyond the Atlassian ecosystem (e.g., ServiceNow, Salesforce, or ERP systems)
Nice to Have: Experience with cloud platforms (AWS, Azure, GCP) and cloud-based IS architectures
Nice to Have: Experience with scripting languages such as Python, JavaScript, or Groovy in the context of IS automation
Nice to Have: Experience working in large-scale, global enterprise environments with complex IS ecosystems