Senior Azure Platform / AI Engineer
📍 Location: Germany / Europe (Remote)
🚀 Start: ASAP
We are looking for a Senior Azure Platform / AI Engineer to join a long-term enterprise AI deployment program for a customer in the Banking / Enterprise AI domain.
This is a customer-facing Forward Deployed Engineering (FDE) role focused on deploying, integrating, and operating enterprise AI platforms within Microsoft Azure environments.
Requirements
- 5+ years of commercial experience
- Strong customer-facing communication skills
- Experience working directly with Enterprise IT & Security teams
English: B2+ (Upper-Intermediate or higher)
Responsibilities
- Deploy and operate Azure environments
- Provision and manage Azure Kubernetes Service (AKS)
- Implement Infrastructure as Code (Terraform)
- Integrate enterprise systems and data platforms
- Deploy and operate LLM-powered AI services
- Support production deployments and post-production operations
- Prepare technical documentation and deployment runbooks
- Participate in sprint planning, demos, and technical reviews
Required Technical Skills
Microsoft Azure
- Azure Kubernetes Service (AKS)
- Microsoft Entra ID
- Managed Identities
- RBAC
- Azure Key Vault
- Azure API Management
- Azure Blob Storage
- Azure AI Search
- Private Endpoints
- VNets
- Network Security Perimeters
- Multi-region Azure deployments
AI / Machine Learning
- Azure OpenAI
- Azure AI Foundry
- Azure ML
- LLM deployment & operations
- Retrieval-Augmented Generation (RAG)
- AI Search
- Embedding pipelines
- Multi-agent architectures
- vLLM (or similar)
DevOps
- Terraform
- GitHub Actions
- Helm
- Kustomize
- Kubernetes
- CI/CD
- OIDC Federation
- Infrastructure as Code
- Secret Management
- Release Automation
Data
- Microsoft Fabric, PostgreSQL, Python ETL, Power BI APIs Development
Backend
- Python, FastAPI, Async Python
Frontend
React, TypeScript, Vite
Required Experience
- Production Azure Platform Engineering
- Enterprise Kubernetes deployments
- AI/LLM production environments
- Infrastructure as Code
- Enterprise networking & security
- Enterprise Azure tenants
- Customer-facing implementation projects
Collaboration with customer IT & Security teams
Nice to Have
- Production AKS operations
- Azure ML model serving
- Azure OpenAI production deployments
- Enterprise AI implementations
- Private networking & highly secured Azure environments
- Forward Deployed Engineering (FDE) experience
Duration: Long-term
Customer-facing engineering role
Sprint-based delivery model
Please Share:
Earliest availability
Short summary of similar Azure / AI deployment experience