SD Worx is a leading European provider of Payroll & HR services with global reach.

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We have offices in Europe and Mauritius.

Our goal? We bring people solutions to life and turn HR into a value source for our clients and their people. Our people solutions span the entire employee journey, from salary payment to attracting, rewarding, and developing talent. Are you ready to join us? About the role: 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.

Which tasks can you expect? AI & Azure EngineeringDesign, 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. Create reusable AI components, frameworks, and engineering patterns that can be adopted across multiple teams and business functions.

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. AI Automation DeliveryDesign and deliver end-to-end AI-powered automation solutions addressing high-volume, repetitive business processes across Payroll, Products, and other internal functions.

Build and implement solutions such as: Intelligent document processing and document understandingNatural Language Processing (NLP) workflowsAI assistants and agentic automation solutionsRetrieval-Augmented Generation (RAG) and Retrieval-Augmented Automation (RAA) solutionsKnowledge management and enterprise search solutionsDevelop 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.

Collaboration & Business PartnershipPartner closely with Payroll, Product, and Business SMEs to identify automation opportunities and drive measurable business outcomes.

Translate business problems into scalable AI solution designs and technical requirements.

Clearly communicate AI capabilities, limitations, risks, and value to both technical and non-technical stakeholders.





Collaborate with engineers across the Smart Automation team to ensure consistent architecture, engineering quality, and reusable design patterns.

Reliability, Governance & Continuous ImprovementEnsure all solutions follow modern engineering practices including version control, testing, observability, monitoring, and secure software development.

Participate in incident reviews and continuously improve AI architectures through lessons learned.

Promote best practices for model evaluation, telemetry, traceability, prompt management, and responsible AI.Stay current with emerging Azure AI and Generative AI capabilities and proactively identify safe adoption opportunities.

What you have to offer?

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.

Engineering StandardsAll code must be committed through feature branches with peer-reviewed pull requests.

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-to-service communication must use Managed Identity and Zero Trust principles wherever possible.

All AI solutions must implement Content Safety controls, grounding me

📌 AI Azure Foundry Engineer (Barcelona)
🏢 Sd Worx
📍 Barcelona