AgentOps Engineer
People are the very DNA of DNB. Since 1822, bright minds have worked together to find the best solutions for our customers. Today, DNB is much more than Norway's largest bank – we are a technology-driven financial institution that continuously connects people and ideas to knowledge and capital in new ways.
Diversity is part of who we are, and inclusion is something we actively choose every single day. We promise to do our best to make you feel at home. A job at Norway's largest financial group offers professional challenges in an exciting work environment with many opportunities for development.
AgentOps Engineer
About us
AI Tech is DNB’s new division within Technology & Services, created to accelerate our shift from AI experimentation to real, measurable impact. We bring together deep technical expertise, modern AI platforms, and hands‑on delivery to scale agentic AI across the group. We move fast, learn fast, and deliver real outcomes.
We expect every member of AI Tech to be a role model in the everyday use of AI —using AI proactively in coding, automating tasks, improving documentation, and accelerating problem‑solving. You help raise the overall AI maturity across DNB by demonstrating what AI‑first engineering looks like.
What you will do
- Design and operate agentic AI solutions end‑to‑end in production: deployment, monitoring, incident handling, and recovery
- Design and operate secure, scalable cloud infrastructure for agentic AI across AWS/Azure (Terraform, containers etc.)
- Build observability for AI agents, covering traces, tool calls, reasoning steps, latency, cost, quality metrics, and failure modes
- Establish continuous feedback loops using production data, automated evaluation and user signals
- Implement CI/CD for models, agents, prompts, tools, and configurations, with gated promotions and safe rollbacks
- Manage versioning and control rollout of agents including validated model upgrades
- Diagnose and resolve AI‑specific production issues such as hallucinations, tool failures, latency and cost anomalies and so on
- Contribute to shared AgentOps standards, runbooks, and ways of working
Background
- Relevant background as DevOps, platform or MLOps engineer
- Proficiency in automating with languages like Python and scripting
- Experience with Azure/AWS/GCP, CI/CD, Docker and so on
- Understanding of reliability engineering, incident management, and post‑mortems
- Experience with observability tooling (OpenTelemetry, logging, metrics, tracing)
- Understanding of distributed systems and system design
- Experience deploying and managing agents, evacuations, knowledge bases etc.
- Familiarity with frameworks (LangGraph, CrewAI, Strands and similar).
Tech stack example:
Python, Strands, AWS AgentCore, AWS Bedrock, MCP, Mlflow, OTel, Docker, GitHub Actions
What you bring
You take a role model approach to AI first operations, with a focus on observability and continuous improvement. You have an operational mindset, and care about reliability, failure modes, and recoverability. You communicate and collaborate effectively across roles and teams, and you take true ownership to the team’s goals.
What’s in it for you?
You’ll work on challenging and meaningful tasks in a strong engineering culture with solid opportunities for professional growth and career development. We offer attractive pension and insurance schemes, as well as employee benefits on DNB’s products. You’ll also have access to company cabins across Norway, sports, cultural and social activities, and a wide range of employee discounts. We support flexibility in everyday work through flexible working hours, a hybrid way of working, extra days off, and reduced working hours from May to August (summertime).
Contact Persons: Mari Sand Frogner, Service Owner | Mari.Sand.Frogner@dnb.no | +47 41475454 / Olav Lognvik, Engineering Manager | Olav.Lognvik@dnb.no | +47 40019700
Application Deadline: 26.04.26
In this job application process, you only need to upload your resume (CV) and briefly answer some job-related questions. Cover letter is not required but you can upload this as an attachment if desired.
In DNB, we carry out background checks to verify that the information provided in your CV and other documentation is correct. Background checks are generally performed by an external independent third party. Former employers are typically contacted to check previous positions and periods of employment, while educational institutions are asked to confirm marks. No background check will be conducted without your prior consent, and you will receive more detailed information about this, if applicable. For positions that require an authorisation and/or approval of suitability, a police certificate of good conduct will be required.