IKEA are on the journey to transform our digital capabilities, bringing core business processes, people, data & technology together as an enabler for IKEA to become an even better home furnishing company in the future. On this journey we’re doing some amazing things; therefore, we need some amazing people – this position is not an exception.

We are looking for a leader who is passionate about developing people and technology capabilities while enabling business transformation through automation and AI. To succeed in this role, you are a collaborative and people-focused engineering leader who can inspire, coach, and mobilize teams towards shared objectives. You combine strong engineering understanding with the ability to build trust, develop talent, and drive change in a fast-paced environment.

We Believe You MUST have

Software Engineering Leadership: 8+ years of experience in software engineering, automation engineering, or digital product development, with proven experience leading technical direction across engineering teams.
Development Background: Strong hands-on development experience using modern programming languages, frameworks, APIs, integrations, and cloud-native architectures.
Engineering Excellence: Deep understanding of software engineering principles, architecture patterns, DevOps practices, quality engineering, security, scalability, and maintainability.
Intelligent Automation Expertise: Extensive experience delivering solutions using digital automation technologies like RPA, workflow automation, Process Mining, Power Platform, and AI-enabled automation.
AI Engineering Experience: Practical experience building, integrating, or governing AI-powered applications and services, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI copilots, and AI orchestration frameworks.
Agentic AI Knowledge: Good understanding of Agentic AI concepts, autonomous workflows, multi-agent systems, tool orchestration, human-in-the-loop patterns, and governance considerations.
Technical Leadership: Experience driving engineering standards, technical roadmaps, architecture decisions, and establishing best practices across distributed teams.
DevOps & AI Tooling: Experience leveraging AI-assisted engineering tools and modern development practices to improve developer productivity and software quality.

Nice to have

Knowledge of Computer Vision, Intelligent Document Processing (IDP), OCR technologies, and multimodal AI solutions.
Experience with Microsoft Azure AI, Azure OpenAI, Microsoft Copilot Studio, AI Foundry, or equivalent AI platforms.
Experience building enterprise-grade AI and automation platforms.
UiPath Solution Architect, Advanced Developer, or Microsoft AI certifications.

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