AI Engineer

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.

• 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.

• 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

• 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.

• 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.

Lisbon

Full time

Regular