Job Description
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 growTeam management and spirit. Good communication skillsPro-active and entrepreneurialBusiness case development, estimating the technical cost (infra and mandays) for development and maintenance of AI solutionsWorking methodologies such as Scrum / Kanban, test-driven development and continuous integrationTechnical 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 FoundryExpertise in Generative AI development and common building blocks, such as LLMs, RAG, prompt engineering, chunking & indexing, and search & ranking techniquesEnd-to-end development of both back- and front-end (user interfaces & user experience) of use casesHigh level knowledge of the Power Platform, including Power Automate, Power Apps (Canvas and model-Driven Apps) and embedded AI servicesHigh level knowledge of Databricks, including Mosaic AI, data pipelines using PySpark and SQL, orchestration of data pipelines using AirflowExperience with infrastructure-as-code through Terraform for the deployment of Azure infrastructureSolution architecture : comprehensive overview, insight to select the right technology per component, with a trade-off between best fit and integration needsQualifications
Dutch or French Level Nice to haveEnglishLevel Full professional proficiencyDo 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)Additional Information
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