DevOps & LLMOps (Agentic AI Platforms) | Manager | Prague
Deloitte Zobrazit všechny práce
- Praha
- Trvalý pracovní poměr
- Plný úvazek
- 4–8+ years in Cloud Engineering, DevOps, or SRE
- Proven experience delivering complex projects in Azure (preferred), AWS, or GCP
- Strong Kubernetes expertise (Helm, Kustomize)
- CI/CD automation (GitHub Actions, Azure DevOps)
- Identity & access management
- Encryption (at rest and in transit)
- Understanding of SOC2 / ISO-level compliance standards
- Experience with Vector Databases (Milvus, Pinecone)
- GPU workload scheduling
- Scaling workflow engines (e.g., n8n)
- Exposure to LLMOps or GenAI production environments
- Design and scale sovereign AI platforms on Azure Kubernetes Service (AKS)
- Ensure high availability and reliability for multi-agent AI systems
- Enable secure enterprise-grade AI deployments
- Architect Zero-Trust environments for LLM-based solutions
- Implement private networking (Private Link), granular RBAC (Entra ID), and automated policy enforcement
- Ensure compliance with enterprise security and audit standards
- Bridge Data Science and Engineering
- Implement agent observability (Langfuse / LangSmith)
- Automate RAG architecture deployment
- Build scalable pipelines from experimentation to production
- Standardize environments using Terraform or Bicep
- Ensure reproducible Dev, Test, and Prod environments across global deployments
- Implement monitoring (Azure Monitor, Datadog)
- Integrate SIEM solutions
- Enable traceability and explainability of AI systems