AI Engineer
$50,000–$60,000 year
HybridLisbon, Lisbon, Portugal or Madrid, Madrid, Spain
Lisbon, Lisbon, Portugal or Madrid, Madrid, SpainHybridFull Time$50,000–$60,000 yearLarge
Full TimeLarge
Job Summary
Design and build AI solutions using Microsoft Copilot Studio, Power Automate, and Azure AI Foundry to automate business processes and integrate with enterprise workflows. Operationalise AI models and pipelines on Azure, leveraging Snowflake Cortex AI features, while collaborating with data engineers and stakeholders to define use cases and translate requirements into technical specifications. Monitor deployed solutions for reliability and compliance, evaluate emerging tools for recommendations, and act as a technical lead owning the full lifecycle from discovery to deployment.
Required Qualifications
- Bachelor's degree in a relevant field (e.g., Engineering, Science, STEM)
- 2+ years of professional experience in genAI
- 4+ years' experience in general power automate, data science, ML landscape
- Fluency in English (spoken and written)
Desired Qualifications
- Master's degree, especially with a specialization in data, ML, genAI or a related field
- 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
- 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)
- Knowledge of MLOps and LLMOps practices: version control (Git), CI/CD pipelines, model monitoring, prompt versioning and deployment best practices on Azure
- Relevant certifications, 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
- Additional European languages
- 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
- Expertise in sustainability, including a sustainable approach and a concrete contribution to this issue
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