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 from discovery to deployment.
3. Collaborate with diverse teams to define AI use cases and requirements.
R0001552 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:**
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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:**
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**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.
Salary Range: ABS EUR 50\.000 \- 60\.000
**Location:**
Lisbon
**Time Type:**
Full time
**Worker Subtype:**
Regular