AI Engineer

About the role

R0001533 AI Engineer (Open) We're Nadara. We work harmoniously with the power of nature and the communities around us to power lifetimes to come. We call our approach 'living energy'. We don't just produce renewable energy, we live it - recognising our relationship with the people touched by our business and supporting social, educational, cultural, and environmental initiatives that contribute to the development of the communities we work alongside. Discover more about our business here: https://nadara.com/about/ Nadara is an innovative place to work. We work in a stimulating and challenging environment, where every day we explore the unknown with curiosity, make decisions with quality and take action and deliver with courage. For us diversity is a real value, and we encourage in connecting different perspectives with respect. Discover more about our culture and approach here: https://nadara.com/living-the-company/ Job Description Summary: The AI Engineer is responsible for designing, building and deploying AI-powered solutions that support Nadara's AI transformation and operational efficiency goals. Working within the Digital and IT team, the role bridges applied AI research and production delivery - translating business needs into working automation and intelligence capabilities. The engineer will act as a technical lead on AI initiatives, owning the full lifecycle from discovery to deployment, and will champion responsible AI practices across the organisation. Job Description: Key responsibilities and Authorities Design and build AI solutions using Microsoft Copilot Studio, including custom copilots, conversational agents and embedded AI experiences integrated with enterprise workflows, data sources and APIs. Develop and maintain Power Automate flows to automate business processes, connecting AI capabilities with operational systems, workflows and data pipelines. Build and operationalise AI models and pipelines on Azure AI Foundry, leveraging services such as Azure OpenAI, Azure AI Search, Prompt Flow and model fine-tuning capabilities. Integrate AI solutions with Nadara's data platforms, including Snowflake, utilising Snowflake Cortex AI features (e.g. Cortex Analyst, ML Functions, LLM inference) where applicable. Collaborate with data engineers, domain experts and business stakeholders to define AI use cases, evaluate feasibility and translate requirements into technical specifications. Monitor and maintain deployed AI solutions, ensuring reliability, performance, security and compliance with internal governance standards. Evaluate emerging AI tools, frameworks and vendor offerings, providing evidence-based recommendations to the Innovation and R&D manager. Key responsibilities and Authorities Technical and cross Competences (Optional) Hands-on experience with Microsoft Copilot Studio: building custom copilots, configuring topics, actions and connectors, and publishing agents to Microsoft 365 and Teams environments. Proficiency in Power Automate, including cloud flows, integration with Microsoft Dataverse, SharePoint, Azure, and third-party APIs. Working knowledge of Azure AI Foundry services: Azure OpenAI Service (GPT-4o, embeddings), Azure AI Search (vector + hybrid retrieval), Prompt Flow for LLMOps, and responsible AI tooling. Experience with Python, SQL and/or .NET for scripting, API integration and AI solution development; familiarity with frameworks such as LangChain or Semantic Kernel is an advantage. Understanding of data engineering fundamentals and experience working with cloud data platforms; experience with Snowflake and its Cortex AI capabilities (Cortex Analyst, ML Functions, LLM functions) is a plus. Knowledge of MLOps and LLMOps practices: version control (Git), CI/CD pipelines, model monitoring, prompt versioning and deployment best practices on Azure. Fluency in English (spoken and written); additional European languages are a plus. Managerial skills and behaviours Structured and organised, able to plan and track development tasks, milestones and dependencies. Proactive, inquisitive and solution-oriented, with a strong drive to experiment, learn and iterate. Clear communicator, able to present technical concepts to both expert and non-expert audiences. Collaborative mindset, working effectively with colleagues from engineering, operations, analytics, data and external partners. Strong sense of ownership and accountability for quality, timelines and knowledge transfer. Comfortable working in environments with uncertainty and evolving requirements, applying pragmatic judgement to balance innovation with delivery. Education and Qualifications Bachelor's degree in a relevant field is required (e.g., Engineering, Science, STEM). Master's degree is highly desirable, especially with a specialization in data, ML, genAI or a related field. 2+ years of professional experience in genAI and 4+ years' experience in general power automate, data science, ML landscape. Relevant certificatio