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Stora Enso

Produces paper, packaging, and renewable materials.

AI Agent Engineer

AI Application Engineering +1Updated on Nov 15
Full-timeNo salary listedHybrid

About the Job

Requirements

  • Relevant academic background in engineering, computer science, data science, information technology, or a related field.
  • Experience in software development, automation, data engineering, analytics, and artificial intelligence.
  • A strong interest in applying artificial intelligence, AI agents, automation, and emerging technologies to business problems.
  • Hands-on experience building and orchestrating AI agents using Microsoft Copilot Studio, Agent Framework, Azure AI Stack, or similar tools.
  • Hands-on experience with agentic and low-code platforms such as Power Platform, Claude Code, and GitHub Copilot.
  • Hands-on experience building human-AI interfaces using Copilot Studio, Power Apps, and Teams Apps, and building modern user-interface web applications using React-based frameworks, Next.js, FastAPI, or Node.js.
  • Familiarity with artificial intelligence and agent technologies, large language models, prompt engineering, retrieval-augmented generation, AI search, and 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 to create practical, value-driven solutions.
  • Strong stakeholder management and communication skills.
  • Curiosity to challenge existing ways of working and explore opportunities enabled by AI.
  • A structured, proactive, and collaborative way of working.
  • Fluency in English.

Responsibilities

  • Design, develop, deploy, and maintain AI agents that support 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 that enable 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 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.

Desired Qualifications

  • Understanding of supply chain processes such as planning, customer service, logistics, inventory management, or order fulfilment is highly beneficial.

About the Company

Stora Enso

Produces paper, packaging, and renewable materials.

Stora Enso turns wood into renewable packaging and biomaterials. It works by pulping wood fibers and converting them into paper, board, and other fiber-based products, then shaping these into packaging, coatings, and specialty materials used by brands and manufacturers. The company integrates forestry, pulp production, papermaking, and converting to supply end products that are recyclable and reusable, aiming to replace fossil-based materials with renewable options. It differentiates itself through its long history and end-to-end control of the supply chain—from forests to finished packaging—and by pursuing a strategic move to separate its Swedish forest assets, sharpening its focus on renewable packaging and bio-based materials. Its goal is to lead the market in sustainable, renewable packaging and materials within the circular bioeconomy, growing high-value fiber products while reducing environmental impact.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Helsinki, Finland
Founded
1998

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