AI Agent Engineer

We are looking for an experienced AI Agent Engineer to join the Supply Chain organization in the Containerboard Business Area in Stora Enso. This position is part of our ambition to build an AI-enabled supply chain where intelligent agents support decision-making, automate repetitive work, improve customer service, and help us achieve our strategic objectives across planning, order fulfilment, logistics, inventory management, and customer experience. You will play a key role in transforming how our organization works by combining business understanding, data, AI, and automation into practical solutions that create measurable value. The preferred location is in Helsinki, but also Warsaw, Ostrava, and other Stora Enso locations can be considered. The position is a temporary assignment for one year. We are open to a hybrid working arrangement, allowing remote work half of the time. Your Role And Responsibilities As an AI Agent Engineer , you design, develop, and continuously improve AI agents and intelligent decision-support solutions that help supply chain professionals make better decisions and execute work more efficiently. You work at the intersection of supply chain, business processes, data, analytics, and modern AI technologies. Your focus is not only on building AI solutions, but on understanding operational challenges and translating them into secure, scalable, and business-relevant AI capabilities. Success in this role comes from your ability to combine technical expertise with business understanding, connect diverse systems and data sources, and identify opportunities where AI agents can create tangible business value. You will collaborate closely with Customer Service, Planning, Sales, Logistics, IT, Data & Analytics, and Digital teams to shape the next generation of AI-enabled ways of working. The role reports to the Head of Supply Chain Development, BA Containerboard. Your key responsibilities include: Design, develop, deploy, and maintain AI agents supporting planning, order fulfilment, customer service, sales, logistics, and business decision-making Identify and prioritize opportunities where AI agents and automation can improve supply chain performance and business outcomes Build human-AI interfaces, including chat solutions, web applications, approval workflows, and ERP-integrated assistants Develop autonomous agent workflows that combine AI reasoning, business rules, and enterprise data Design and implement integrations between AI agents and enterprise systems such as ERP, CRM, Data Platforms, and Microsoft 365 Collaborate with business stakeholders to translate operational challenges into practical AI solutions Build and maintain semantic data models and knowledge layers enabling AI agents to understand business context Evaluate emerging AI technologies, platforms, and models and assess their applicability to business use cases Establish monitoring, testing, and performance measurement for AI solutions to ensure reliability, quality, and business value Work closely with data and analytics teams to improve data quality, accessibility, and AI readiness Support change management and adoption of AI-enabled ways of working across the organization Relevant academic background in engineering, computer science, data science, information technology, or a related field Experience in software development, automation, data engineering, analytics and AI Strong interest in applying AI, AI agents, automation, and emerging technologies to solve real business problems Understanding of supply chain processes such as planning, customer service, logistics, inventory management, or order fulfilment is highly beneficial Hands-on experience building and orchestrating AI agents using tools such as, but not limited to, Microsoft Copilot Studio, Agent Framework, Azure AI Stack or similar Hand-on experience with agentic and low code platforms Power Platform, Claude Code, GitHub Copilot or similar Hands-on experience building Human-AI interfaces using tools like Copilot Studio, Power Apps, Teams Apps, as well as building modern UI based web application using React based frameworks (Next.JS, FastAPI, NodeJS) Familiarity with AI and agent technologies, large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), AI search & embeddings Experience with REST APIs, MCP servers, enterprise integrations, and business systems such as ERP, CRM, and data platforms Knowledge of modern data platforms such as Snowflake, Fabric, Databricks, or similar technologies Understanding of AI governance, security, identity management, and responsible AI principles Ability to combine technical expertise with business understanding and create practical, value-driven solutions Strong stakeholder management and communication skills Curiosity to challenge existing ways of working and continuously explore new opportunities enabled by AI Structured, proactive, and collaborative way of working Fluency in English Your way o