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 Smart Automation to ensure consistency in solution design and standards

Reliability, Governance & Continuous Improvement

Ensure solutions follow engineering best practices: version control, testing, observability, monitoring, and secure development

Participate in post-incident reviews and embed learnings into AI architectural patterns

Advocate modern engineering practices such as model evaluation, telemetry, traceability, and responsible AI

Continuously scan emerging Azure Foundry features and AI capabilities and recommend safe adoption paths

What you have to offer?

Degree in Computer Science, Software Engineering, Data Science or a related technical discipline

Software Engineer professional experience at least 6 years

Demonstrable experience delivering AI or machine learning solutions in a production or enterprise environment at least 3 years

Proven experience with Azure AI Foundry or comparable Azure AI/ML platform services

All code committed via feature branches; no direct push to main without a reviewed pull request

Unit tests written alongside code; solutions deployed with observability and monitoring configured from day one

Secrets and credentials stored exclusively in Azure Key Vault — never in source code or pipeline variables

All Azure service-to-service calls authenticated via Managed Identity (Zero Trust)





AI solutions deployed with Content Safety, grounding checks, and responsible AI guardrails applied before Staging or Prod

Actively engage with Payroll and Product SMEs to validate AI solution designs before build commences

Communicate clearly and honestly about AI limitations, risks, and confidence levels — especially to non-technical partners

Share reusable components, patterns, and learnings with the broader Smart Automation team

Raise blockers and risks early; do not allow work to stall past the midpoint of a sprint without escalation

What do we have to offer?

Comprehensive training and development programs.

Private medical insurance 100% covered by SD Worx

18 hours for personal matters

Reduced summer hours: 36 hours instead of 40 per week, for 4 weeks (to be chosen in July or August)

Laptop and equipment provided

Workation: possibility to work from any SD Worx location (4 weeks per year, EU only)

Learning opportunities: language courses (as per availability), individual training bonus, an individual development plan, and professional training

Career growth: whether you want to become more of an expert in your field or want to expand your knowledge more horizontally, there is always room to grow within SD Worx!

From many places, we work as one, moving from better to best together.

SD Worx embraces diversity in the workplace. Diversity brings inspiration and innovation to our company. 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.

Salary range information will be shared with candidates during the first call with the Talent Acquisition team.

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