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.

What You Will Do

Design and build automation solutions leveraging Azure AI Foundry capabilities, including model orchestration, vector search, secure prompt pipelines, and evaluation tooling

Develop and maintain Python-based AI services integrated with Foundry workflows, AI hubs, models, and datasets

Create reusable AI components and best-practice patterns for other squads to adopt

Establish guidelines for prompt design, model governance, evaluation, and safe AI deployment using Azure Foundry frameworks





Lead discussions on AI architecture, responsible AI, and performance optimisation

Automation Delivery (Python, AI, Foundry Integration)

Develop end-to-end intelligent automation solutions for internal customers, focusing on high-frequency, high-effort repetitive processes

Leverage Azure AI Foundry to build solutions such as:

Agentic automation

Retrieval-augmented automation (RAA / RAG)

Integrate AI solutions with enterprise systems through secure APIs, microservices, and Python automation scripts

Build pipelines for data ingestion, transformation, embeddings, and vector search

Partner closely with Payroll and Product SMEs to assess processes and identify AI automation opportunities

Translate business challenges into clear technical requirements and AI solution designs

Communicate AI concepts, limitations, risks, and value clearly to non-technical audiences

Work collaboratively with other engineers in

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