Elia Group

AI Architect

Elia Group
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1 day ago
Brussels, BelgiumStaff+

Responsibilities

  • Define the target architecture, standards, and governance framework for AI solution development and deployment.
  • Evaluate emerging AI capabilities and determine how to implement and operationalize them efficiently.
  • Lead the architecture, development, and evolution of production-ready, scalable, usable, and maintainable AI building blocks and developer playbooks.
  • Develop reusable frameworks, templates, pipelines, blueprints, and reference implementations for enterprise AI adoption and security.
  • Explain technical choices, constraints, trade-offs, opportunities, risks, value, and reusability to technical and non-technical stakeholders.
  • Align shared AI capabilities with enterprise architecture, domain architecture, software architecture, IT security, engineering, data science, machine learning engineering, governance, strategy, and controlling.
  • Conduct technical evaluations, prototypes, and proofs of concept to validate new capabilities and reduce risks.
  • Maintain technical consistency and limit technical debt within the EL.AI product.

Requirements

  • A master's degree in computer science, engineering, informatics, or a comparable field, or equivalent relevant experience.
  • At least 7 years of experience in AI, cloud or data engineering, and architecture, including at least 5 years delivering AI/ML solutions in production.
  • Demonstrated experience building and managing platforms or shared technical capabilities used by multiple teams.
  • Experience as an architect or technical lead in a multidisciplinary environment.
  • Fluent English; knowledge of Dutch, French, and/or German is a plus.
  • Expertise in AI solution architecture and designing production-ready AI platforms and solutions.
  • Strong knowledge of machine learning, generative AI, agentic AI, and the full model lifecycle.
  • Experience with MLOps, CI/CD, monitoring, model governance, and observability.
  • Extensive expertise in the Microsoft Azure AI ecosystem and cloud-native engineering.
  • Knowledge of modern platform engineering, Kubernetes, API architectures, and reusable building blocks.
  • Experience with data and AI platforms such as Databricks, MLflow, and vector databases.
  • Good knowledge of cybersecurity, AI governance, compliance, and security-by-design principles.

Benefits

  • Competitive compensation package including representation allowance, year-end bonus, double holiday pay, meal vouchers of €10 per working day, eco vouchers, sport and culture vouchers, and individual and collective performance bonuses.
  • Group, hospitalization, ambulatory care for the family, and private-life accident insurance.
  • 20 vacation days, 5 compensatory vacation days, 6 local days, 4 management days after one year, and up to 5 seniority days.
  • Social fund benefits including year-end vouchers, birth or marriage allowances, and partial reimbursement for items such as glasses or dental prostheses.
  • iPhone with subscription for private use, internet reimbursement, and laptop.
  • 30% discount on gas and electricity bills.
  • Company car and public transport or mobility budget.
  • Opportunity to subscribe to Elia shares at a 16.66% discount.
  • Brussels-based role near Brussels-Central station with telework and occasional travel to Berlin.

Tech Stack

AzureDatabricksKubernetesMLflow
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