SD Worx is a leading European provider of Payroll & HR services with general reach. We are looking for an AI / Azure Foundry Engineer to accelerate our organisation's transition into AI-enabled smart automation. You will use Azure AI Foundry, Python, and advanced AI tooling to design intelligent automation solutions that eliminate repetitive work and improve process efficiency for our internal teams — with special focus on Payroll and Products. Beyond project delivery, you will help shape the engineering direction, reusable patterns, and technical standards for all AI-driven automation within the Smart Automation team. AI & Azure Engineering Design, build, and deploy intelligent automation solutions leveraging the Microsoft Azure ecosystem, including Azure AI Foundry, Azure OpenAI, Azure AI Search, model orchestration, vector search, secure prompt pipelines, and evaluation frameworks. Develop and maintain production-grade Python services integrated with AI models, Azure AI Foundry workflows, AI hubs, datasets, APIs, and enterprise systems. Define and champion best practices for prompt engineering, model governance, AI evaluation, security, and responsible AI deployment. Contribute to AI architecture discussions, technical design decisions, performance optimization, and engineering standards across the Smart Automation team. Design and deliver end-to-end AI-powered automation solutions addressing high-volume, repetitive business processes across Payroll, Products, and other internal functions. Develop secure integrations between AI services and enterprise applications using APIs, microservices, and Python-based automation. Build and maintain pipelines for data ingestion, transformation, embeddings generation, vector indexing, retrieval, monitoring, and evaluation. Partner closely with Payroll, Product, and Business SMEs to identify automation opportunities and drive measurable business outcomes.



Collaborate with engineers across the Smart Automation team to ensure consistent architecture, engineering quality, and reusable design patterns. Ensure all solutions follow modern engineering practices including version control, testing, observability, monitoring, and secure software development. Stay current with emerging Azure AI and Generative AI capabilities and proactively identify safe adoption opportunities. Degree in Computer Science, Software Engineering, Data Science or a related technical discipline. Minimum 5 years of hands-on Python development experience in production environments, including backend development, APIs, automation, integrations, testing, and software engineering best practices. Minimum 3 years of hands-on experience within the Microsoft Azure ecosystem. Minimum 3 years of experience delivering AI or Machine Learning solutions in production or enterprise environments. Unit tests should be developed alongside code and all solutions must include observability and monitoring from day one. Secrets and credentials must be stored in Azure Key Vault and never in source code repositories or pipeline variables. Azure service?All AI solutions must implement Content Safety controls, grounding mechanisms, evaluation frameworks, and Responsible AI guardrails before deployment to staging or production environments. Engage proactively with Payroll and Product SMEs to validate business requirements and AI solution designs before development begins. Comprehensive training and development programs. Flexible working schedule Private medical insurance 100% covered by SD Worx Reduced summer hours: 36 hours instead of 40 per week, for 4 weeks (to be chosen in July or August) Learning opportunities: individual training bonus, an individual development plan, and professional training We particularly welcome applications from qualified talent, regardless of origin, nationality, gender, skin color, ethnic and social background, religion, age, disability, sexual orientation, or stage of life.

📌 Ai Azure Foundry Engineer (Granada)
🏢 Sd Worx
📍 Granada