The Senior AI engineer will be the Technical lead of a multidisciplinary team to design, deliver, and operationalize AI solutions that are simple, standard, secure, and cost-effective. Translate business needs into AI applications using Azure AI Services, Databricks, and Power Platform to ensure measurable business value, leveraging reusable reference architectures and low-code.
Concrete tasks:
- Translate business use-cases into optimal application solution architectures prioritizing simplicity, security, standardization and re-use, in collaboration with architects and subject matter experts
- Analyse, design and develop solutions based on Azure AI services. Coordinate technical implementation of those solutions. Coach and advise co-workers on a technical level
- Define and maintain reference architectures and coding standards
- Deployment and maintenance of infrastructure in a structured and standardized way via re-usable modules
Functional skills
- Analytical, problem solver, solution minded. Fast learner and eager to grow
- Team management and spirit. Good communication skills
- Pro-active and entrepreneurial
- Business case development, estimating the technical cost (infra and mandays) for development and maintenance of AI solutions
- Working methodologies such as Scrum/Kanban, test-driven development and continuous integration
Technical skills
- Technical knowledge of the Azure cloud platform (incl. networking and security) and experience implementing solutions using Azure AI services: Azure Document Intelligence, Azure OpenAI, Azure AI Search and Azure AI Foundry
- Expertise in Generative AI development and common building blocks, such as LLMs, RAG, prompt engineering, chunking & indexing, and search & ranking techniques
- End-to-end development of both back- and front-end (user interfaces & user experience) of use cases
- High level knowledge of the Power Platform, including Power Automate, Power Apps (Canvas and model-Driven Apps) and embedded AI services
- High level knowledge of Databricks, including Mosaic AI, data pipelines using PySpark and SQL, orchestration of data pipelines using Airflow
- Experience with infrastructure-as-code through Terraform for the deployment of Azure infrastructure
- Solution architecture: comprehensive overview, insight to select the right technology per component, with a trade-off between best fit and integration needs
• Dutch or French Level Nice to have
• EnglishLevel Full professional proficiency
• Do you have a certification in Microsoft Azure? If so, please specify which certification(s).
• Do you have experience as a technical lead of a team that has to deliver AI solutions to the business? If so, please describe your experience(s)
All our positions are open to people with disabilities
