Grundlæggende

AI Engineer

andalucía, Spain Selskab: JR Spain Klient / Arbejdsgiver: SD Worx Spain
Opslået: 23.05.2026
Afslutningsdato: 07.07.2026
Jobreference: 1f08f19540213870062fc7a2cf94808f

Jobinformation

Beliggenhed
andalucía, Spain
Selskab
JR Spain
Klient / Arbejdsgiver
SD Worx Spain
Jobreference
1f08f19540213870062fc7a2cf94808f
Listetype
Grundlæggende
EU-arbejdstilladelse kræves
Nej
Opslået
23.05.2026
Afslutningsdato
07.07.2026

Jobbeskrivelse

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

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.

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Færdigheder

Agile Project Management Algorithms analyse big data analyse business requirements apply ICT systems theory apply systemic design thinking Artificial Neural Networks Assembly (computer programming) assess ICT knowledge build business relationships build predictive models build recommender systems Business Analytics Business Intelligence business process modelling C COBOL CoffeeScript Common Lisp computer programming Computer Simulation Computer Vision create data sets creatively use digital technologies Data Mining Data Models Data Science database development tools Deep Learning define technical requirements deliver visual presentation of data design application interfaces design database scheme design process develop creative ideas develop statistical software digital data processing Erlang Groovy Haskell ICT project management methodologies identify processes for re-engineering Information Architecture information categorisation Information Extraction information structure Java (computer programming) JavaScript lean project management LINQ Lisp manage business knowledge manage ICT data classification manage ICT semantic integration Matlab Microsoft Visual C++ ML (computer programming) N1QL Objective-C OpenEdge Advanced Business Language operational research Pascal (computer programming) perform dimensionality reduction Perl PHP principles of artificial intelligence Process-based management Prolog (computer programming) Python (computer programming) R resource description framework query language Ruby (computer programming) SAP R3 SAS language Scala Scratch (computer programming) Smalltalk (computer programming) SPARQL Swift (computer programming) systems development life-cycle task algorithmisation TypeScript Unstructured Data use data processing techniques utilise machine learning VBScript Visual Basic visual presentation techniques

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