1 year ago
Brussels, BelgiumSenior / Staff+
Responsibilities
- Design AI-driven target architectures and AI-based software factories for autonomous software development at enterprise scale.
- Develop AI-powered delivery pipelines that convert engineering processes, standards, and architectural guidelines into machine-executable workflows.
- Establish trusted AI engineering environments with governance, layered validation, identity boundaries, and end-to-end traceability.
- Implement automated testing and evaluation pipelines, architecture compliance checks, and red-teaming approaches for AI-generated systems.
- Translate enterprise knowledge into machine-readable architecture decisions, domain models, APIs, and business rules.
- Convert business intent into scalable architectures and integrate AI into existing system landscapes and operating models.
- Communicate technical architectures and measurable business impact to technical and non-technical stakeholders.
Requirements
- Master's degree in Computer Science, Software Engineering, or a related field, preferably focused on artificial intelligence, machine learning, or data science.
- 6–12 years of experience designing, implementing, and deploying AI systems.
- Experience designing and optimizing IT architectures involving legacy systems, enterprise solutions, agentic AI, LLM orchestration, or AI-native architectures.
- Hands-on experience with LLM-based applications, AI agents, or machine learning platforms.
- Familiarity with DevSecOps, CI/CD pipelines, automated testing, and platform engineering.
- Knowledge of agent assembly lines, execution harnesses, and context engineering in secure and scalable enterprise architectures.
- Ability to translate complex business requirements into technical architectures and communicate with technical and non-technical stakeholders.
- Fluency in English and Dutch or French.
- Willingness and flexibility to travel as needed.
Categories
AI ApplicationsSolutions Engineering
