Описание

The IT AI team at Mobileye is looking for a hands-on AI Implementer to take AI use cases from idea to production, working with business and IT stakeholders to find automation opportunities and then building, securing, and maintaining AI agents, MCP integrations, and workflows.

Responsibilities

Lead the company-wide rollout of development and productivity tools (e.g., AI coding assistants, enterprise copilots, chat and agent platforms): evaluation, deployment, licensing, access provisioning, onboarding and adoption across all departments
Design, build and deploy AI agents, assistants and automations for IT and the different business units
Develop and maintain MCP server integrations (e.g., Jira, Confluence, SharePoint, Jenkins, Microsoft 365) and onboard new tools to the MCP gateway
Extend the corporate chatbot with new self-service automations and knowledge sources
Connect AI solutions to enterprise systems (ITSM/Jira, ServiceNow-style workflows, SaaS apps, AD/Entra ID, REST APIs)
Track and report AI usage, cost and KPIs, such as ticket deflection and automation runs
Apply security and governance: authentication (OAuth/tokens), least-privilege access, data protection, and audit/SOX requirements
Run enablement work: documentation, user guides, live sessions/workshops, and Tier-3 support for AI tools
Evaluate new AI technologies and vendors, and build PoCs

Requirements

3+ years of hands-on experience in DevOps, automation, systems engineering or software development
Strong scripting/programming skills
Hands-on experience with LLMs / GenAI: prompt engineering, RAG, agents, function/tool calling
Experience with REST APIs, JSON, webhooks and integrating SaaS/enterprise systems
Working knowledge of Docker / Kubernetes, CI/CD and Git
Strong communication skills; able to work with non-technical stakeholders and explain AI clearly
Fluent Hebrew and English

Nice to have

Experience with MCP (Model Context Protocol) servers/clients
Familiarity with identity & access (Entra ID/AD, OAuth, SSO) and security best practices
Solid troubleshooting skills in Linux and Windows environments
Experience with AI platforms such as Amazon Quick / Bedrock, Azure OpenAI, Copilot Studio, Open WebUI, or LangChain/LangGraph
Background in IT operations / ITSM (Jira Service Management)
Experience with Azure (Key Vault, App Services) or AWS
Experience with cost monitoring/observability for AI workloads
Experience running technical training or workshops

We offer

Full time employment
Hybrid work mode

Hiring process

Mobileye may use artificial intelligence (AI) tools to support parts of the hiring process