AI Azure Foundry Engineer

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

AI & Azure Foundry Engineering Leadership

-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:

-Intelligent document understanding -Natural language processing workflows -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

Collaboration & Partner Engagement

-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