Lead AI Platform Engineer

• Co-own the AI platform with the Head of Data & AI
• Define the platform architecture, roadmap, and build-versus-buy decisions
• Set infrastructure, access, and deployment standards with IT, security, and ML/AI engineers
• Build AI platform components with Terraform on AWS and the cloud engineering team's GitLab setup
• Operate AWS Bedrock as the model gateway, including access, guardrails, quotas, and cost per team
• Scale SageMaker and GPU workloads
• Decide when managed APIs are sufficient
• Provide orchestration and CI/CD integrated with Snowflake
• Build reusable components and self-service deployment capabilities
• Provide tracing, evaluation, monitoring, and cost visibility for models and agents
• Implement least-privilege access, audit trails, and technical guardrails for responsible AI
• Help non-technical colleagues use approved AI tools safely
• Mentor junior colleagues and establish engineering standards as the AI team grows

• 6+ years of experience in platform engineering, DevOps, cloud engineering, or MLOps
• Experience designing and running platforms in production
• Strong AWS skills
• Hands-on Terraform or AWS CDK experience
• Experience with access control, secrets, and audit logging
• Experience with CI/CD, such as GitLab CI
• Docker experience
• Workflow orchestration experience, such as Airflow
• Snowflake or comparable cloud data platform experience
• Experience running ML and LLM workloads in production
• Experience with managed model access, such as AWS Bedrock or comparable platforms
• Experience with guardrails, evaluation, and cost control
• Ability to make and defend architecture decisions
• Ability to guide other engineers
• Daily use of AI coding tools
• Ability to explain trade-offs to non-technical colleagues
• Fluent English
• Conversational German or Dutch is a nice-to-have
• Experience with MCP servers or other AI agent infrastructure is a nice-to-have
• Experience with Kubernetes and self-hosted model serving, such as vLLM, is a nice-to-have
• Working knowledge of GDPR and the EU AI Act is a nice-to-have

• Bike lease and bike purchase subsidy
• Home office equipment
• Learning budget
• Conference days
• 100% remote work from anywhere in the EU
• Regular team meetings in one of the operating countries