Global Enterprise Partners is supporting a major fashion client in the search for an AI Platform Engineering Lead. This role combines hands-on engineering with technical leadership, focusing on the design, delivery, and governance of enterprise-scale AI platforms.
Requirements:
- Strong experience in AI/ML platform engineering and cloud-native architectures,
- Expert-level Python backend development skills,
- Hands-on with Azure, Terraform, Kubernetes, Docker, and Azure App Services,
- Strong knowledge of Azure networking (VNet, NSG, private endpoints, DNS, and network security),
- Experience building and supporting LLM-based solutions, RAG architectures, vector databases, embeddings, and AI services,
- Experience with Databricks, MLflow, and MLOps best practices,
- Strong understanding of CI/CD, Infrastructure as Code, observability, reliability, and platform security,
- Experience with PostgreSQL and enterprise AI governance frameworks,
- Technical leadership experience.
Responsibilities:
- Lead the technical direction of the AI platform and support engineering best practices,
- Design and deliver scalable AI platform services and infrastructure,
- Define standards for Terraform, cloud architecture, and platform security,
- Support AI solutions involving LLMs, RAG, vector search, and AI integrations,
- Drive CI/CD, platform reliability, monitoring, and operational excellence,
- Oversee ML platform governance (+Databricks and MLflow),
- Act as the technical escalation point for complex engineering challenges,
Details:
Freelance - 6+ months (possibilities of extensions) - Copenhagen (Hybrid)
Start: ASAP
Interested?
Share your latest updated CV via L.barisic(at)globalenterprisepartners.com or call +31 20 530 5801
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