AI Azure Foundry Engineer

Reposted 2 Days Ago
Be an Early Applicant
5 Locations
Hybrid
Senior level
HR Tech
The Role
Design and deliver enterprise AI automation using Azure AI Foundry and Python, including document understanding, NLP, agentic workflows, RAG, embeddings, and vector search. Build reusable AI components, secure integrations, evaluation and governance frameworks, and production-ready services with testing, monitoring, observability, and responsible AI safeguards. Collaborate with Payroll and Product stakeholders to identify automation opportunities, translate business needs into technical designs, and guide AI architecture and engineering standards.
Summary Generated by Built In

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.

Which tasks can you expect?

AI & Azure Engineering

  • Design, 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 Delivery

  • Design 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 understanding

    • Natural Language Processing (NLP) workflows

    • AI assistants and agentic automation solutions

    • Retrieval-Augmented Generation (RAG) and Retrieval-Augmented Automation (RAA) solutions

    • Knowledge management and enterprise search solutions

  • Develop 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 Partnership

  • Partner 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 Improvement

  • Ensure 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 Standards

  • All 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 mechanisms, evaluation frameworks, and Responsible AI guardrails before deployment to staging or production environments.

Collaboration Standards

  • Engage proactively with Payroll and Product SMEs to validate business requirements and AI solution designs before development begins.

  • Communicate AI capabilities, limitations, risks, and confidence levels transparently, especially with non-technical stakeholders.

  • Share reusable components, technical learnings, and best practices across the Smart Automation team.

  • Raise risks, dependencies, and blockers early to ensure timely delivery and maintain sprint commitments.
    What do we have to offer?

🏝️ Comprehensive training and development programs.

🏝️ Flexible working schedule

🏝️ Private medical insurance 100% covered by SD Worx

🏝️ 25 vacation days 

🏝️ 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)

🏝️ Edenred flexible retribution options: meal vouchers, transport vouchers, etc.

🏝️ Laptop and equipment provided

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

🏝️ Learning opportunities: 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.

Skills Required

  • Degree in Computer Science, Software Engineering, Data Science, or a related technical discipline
  • At least 6 years of professional software engineering experience
  • At least 3 years of experience delivering AI or machine learning solutions in a production or enterprise environment
  • Proven experience with Azure AI Foundry or comparable Azure AI/ML platform services

SD Worx Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SD Worx and has not been reviewed or approved by SD Worx.

  • Flexible Benefits — Benefits are frequently positioned as flexible and customizable, including cafeteria-style options and country-specific choices. This tailoring (e.g., mobility, extra insurance, or additional leave) is presented as a way to align rewards to individual needs.
  • Leave & Time Off Breadth — Leave and time off options appear broad in several markets, with multiple leave types from day one and, in some countries, generous holiday allowances or the ability to trade for extra days. These provisions are often linked to strong work–life balance and flexibility.
  • Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle offerings include workation policies, wellness schemes, vouchers and discounts, and Employee Assistance Programs. Hybrid work practices and allowances further round out the day‑to‑day experience.

SD Worx Insights

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The Company
HQ: Antwerpen
3,403 Employees
Year Founded: 1945

What We Do

We spark success at the heart of your business so you and your people can thrive. About SD Worx In today’s new world of fluid work, people want to be inspired by what they do and have the freedom to focus on what matters. Organisations need a dynamic, motivated workforce empowered by smart technology. As a leading European provider of integrated HR solutions, SD Worx turns HR into a source of value for their customers’ business and the people that work for them. SD Worx delivers HR solutions across the entire employee lifecycle, from paying employees to attracting, employing, rewarding and developing the talent who make businesses succeed. SD Worx powers performance through four core capabilities: software, outsourcing, consultancy and data-driven insights. SD Worx is the trusted leading European provider of end-to-end HR solutions for all organisations and workers. About 90,000 small and large organisations across Europe place their trust in the company and its +75 years' worth of experience. SD Worx calculates the salaries of approximately 5.7 million employees and ranks among the top five worldwide. The more than 7,500 employees operate in Belgium (HQ), Austria, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Ireland, Italy, Luxembourg, Mauritius, Netherlands, Norway, Poland, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and the UK. SD Worx achieved a consolidated revenue of EUR 1.058 billion in 2023.  More info on www.sdworx.com

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