Everience is an international consulting group delivering AI-augmented digital services and placing people at the heart of the AI revolution.

With a presence in Europe, Africa, Asia and America, Everience offers its 4,000-strong workforce the most demanding and stimulating environment in which to transform and develop their skills, learning about new AI-based roles and building their future employability.

Through its Symbiotic Academy the group offers a unique hub for training, practical application and exchange where everyone can experiment, learn, and progress in the fields of artificial intelligence and data.

In accordance with its core purpose of orchestrating the symbiotic relationship between humans and AI in the workplace, Everience is making the augmented employee the driving force of a “symbiotic age”, where AI enhances talents and opens up new career opportunities.

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