General Information

Position
DevOps & LLMOps (Agentic AI Platforms) | Manager | Hungary
Work arrangement
Teljes munkaidős pozíció
City
Budapest
Country
Magyarország
Department
Consulting
Team
Engineering, AI & Data
Area of interest
Cloud, Data & Analytics, Digital, Engineering
Way of work
Hibrid (irodai és otthoni munkavégzés)

Description & Requirements

Who we are looking for
Shape the Infrastructure Behind Enterprise AI 🚀

AI is no longer experimental - it is mission-critical. As global organizations move toward autonomous AI agents operating on sensitive data, they need secure, scalable, and compliant platforms.

This is where you come in.

🟢 We are looking for a Manager / Senior Lead in DevOps & LLMOps to design and lead the deployment of enterprise-grade Agentic AI platforms. You will help some of the world’s most recognized organizations build secure AI environments that operate at scale — and under strict regulatory standards.

If you are excited about combining deep engineering with high-impact consulting, this role offers exactly that.


💼 Your Profile

We are looking for a technically strong leader who is comfortable operating in complex environments.

Core Experience
  • 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)
Security & Compliance Mindset
  • Identity & access management
  • Encryption (at rest and in transit)
  • Understanding of SOC2 / ISO-level compliance standards
Nice to Have
  • Experience with Vector Databases (Milvus, Pinecone)
  • GPU workload scheduling
  • Scaling workflow engines (e.g., n8n)
  • Exposure to LLMOps or GenAI production environments


Your future role
🎯Your Impact

You will play a leading role in architecting production-ready AI ecosystems.

🚀 Platform Engineering & Orchestration
  • 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
🔐 Security & Governance
  • 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
🔄 LLM Lifecycle & Production Enablement
  • Bridge Data Science and Engineering
  • Implement agent observability (Langfuse / LangSmith)
  • Automate RAG architecture deployment
  • Build scalable pipelines from experimentation to production
🏗 Infrastructure as Code
  • Standardize environments using Terraform or Bicep
  • Ensure reproducible Dev, Test, and Prod environments across global deployments
📊 Observability & Transparency
  • Implement monitoring (Azure Monitor, Datadog)
  • Integrate SIEM solutions
  • Enable traceability and explainability of AI systems
What we offer
Join a fast-growing AI & Data Excellence team in Hungary, connected to a global network of 160+ specialists and strategic partnerships with Microsoft, Google, and AWS.

📈 Real Career Acceleration

This is not just another DevOps role. You will:
  • You will work on high-profile international engagements where your architecture decisions directly influence how enterprises operate with AI.
  • Lead complex AI platform initiatives
  • Influence architecture decisions at enterprise level
  • Grow toward technical leadership or strategic advisory roles

Benefits:
  • Modern Working Environment
  • Competitive salary + annual performance bonus
  • Cafeteria package & SZÉP card (accommodation, catering, recreation)
  • Contribution to nursery or kindergarten services
  • Comprehensive health coverage (Medicover health insurance & group life insurance)
  • Pension fund contributions
  • Commuting allowance
  • Hybrid working model
  • International exposure
  • Continuous learning & certification support

#LI-NF1

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