Hybrid AI Agent Engineer for Supply Chain & Automation

Stora Enso Business Services s.r.o.

Helsinki

Hybrid

EUR 120,000 - 170,000

Full time

4 days ago

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Job summary

Stora Enso Business Services s.r.o. seeks an experienced AI Agent Engineer to join the Supply Chain organization in the Containerboard Business Area.

You will design, develop, and improve AI agents and decision-support solutions across planning, order fulfilment, logistics, and customer experience. The role involves collaborating with Customer Service, Planning, Sales, Logistics, IT, and Data & Analytics teams to create value by combining business understanding with AI, automation, and data

Qualifications

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
Hands-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, prompt engineering, RAG, AI search & embeddings
Experience with REST APIs, MCP servers, enterprise integrations, and business systems such as ERP, CRM, and data platforms
Knowledge of Snowflake, Fabric, Databricks, or similar data platforms
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

Responsibilities

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