Agentops Engineer

DNB Bank ASA

Norway
On-site
Design and operate agentic ai solutions
Secure, scalable cloud infrastructure (aws/azure)
Build observability for ai agents
Design and operate agentic AI solutions end‑to‑end in production, including deployment, monitoring, incident handling, and recovery

Job Summary

  • Design and operate agentic AI solutions end‑to‑end in production, including deployment, monitoring, incident handling, and recovery.
  • Build observability for AI agents, covering traces, tool calls, reasoning steps, latency, cost, quality metrics, and failure modes.
  • Contribute to shared AgentOps standards, runbooks, and ways of working to raise overall AI maturity across DNB.

Matching Summary

Design and operate agentic AI solutions end‑to‑end in production, including deployment, monitoring, incident handling, and recovery.

Skills & Requirements

Must-have

  • Design and operate agentic AI solutions
  • Secure, scalable cloud infrastructure (AWS/Azure)
  • Build observability for AI agents
  • Implement CI/CD for models, agents, prompts
  • Diagnose and resolve AI-specific production issues
  • Proficiency in automating with Python
  • Experience with observability tooling

Nice-to-have

  • Role model approach to AI first operations
  • Operational mindset, care about reliability
  • Communicate and collaborate effectively
  • Familiarity with frameworks (LangGraph, CrewAI)

Key Requirements

  • Relevant background as DevOps, platform or MLOps engineer
  • Experience with Azure/AWS/GCP, CI/CD, Docker
  • Understanding of reliability engineering, incident management
  • Understanding of distributed systems and system design
  • Experience deploying and managing agents
  • Familiarity with frameworks (LangGraph, CrewAI, Strands and similar)

Work Rights

Not specified

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