AI Engineer

Description

Summary: The AI Engineer designs, builds, and deploys AI-powered solutions, bridging applied AI research and production delivery to support Nadara's AI transformation. Highlights: 1. Design and build AI solutions using Microsoft Copilot Studio. 2. Act as a technical lead on AI initiatives and champion responsible AI practices. 3. Work in a stimulating and challenging environment, exploring the unknown. 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 certifications are a plus, such as Microsoft Certified: Azure AI Engineer Associate, Power Platform Developer Associate, or Snowflake SnowPro Core. * Portfolio of delivered AI projects or proof\-of\-concept work (e.g., GitHub repositories, internal case studies) demonstrating practical experience is highly valued. **Travel Requirements** * The position is available in all locations where Nadara has offices and employees, ensuring representation across regions. * A hybrid work model is in place, combining in\-office and remote work. * Occasional travel may be required. **Location:** Lisbon **Time Type:** Full time **Worker Subtype:** Regular