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Last Updated: June 16, 2026

Artificial Intelligence Agent Developer

kr 953 360 (NOK)/yr

kr 458,35 (NOK)/hr

kr 41 185 (NOK)/yr

The average artificial intelligence agent developer gross salary in Norway is kr 953 360 or an equivalent hourly rate of kr 458. In addition, they earn an average bonus of kr 41 185. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Norway. An entry level artificial intelligence agent developer (1-3 years of experience) earns an average salary of kr 668 242. On the other end, a senior level artificial intelligence agent developer (8+ years of experience) earns an average salary of kr 1 078 788.

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Salary Potential

kr 1 093 015 (NOK)

15 %

Based on our compensation data, the estimated salary potential for Artificial Intelligence Agent Developer will increase 15 % over 5 years.

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Country Overview

Norway

Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Norway, officially the Kingdom of Norway, is a Nordic country comprising the western and northernmost parts of the Scandinavian Peninsula in Northern Europe, the remote Arctic island Jan Mayen and the archipelago Svalbard. Bouvet Island, located in the Subantarctic, is a dependency, and not a part of the Kingdom; Norway also claims the Antarctic territories of Peter I Island and Queen Maud Land. Norway has a population of approximately 5.6 million, and a total area of 385,207 square kilometres (

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This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.

Job Description
Designs, develops, and deploys intelligent software agents that utilize large language models and related AI systems to automate workflows, retrieve and reason over organizational knowledge, and deliver measurable productivity improvements. Applies principles of software engineering, information retrieval, and machine learning orchestration to architect agentic systems that plan, call tools and APIs, and interact with users and services safely and reliably.... Incorporates agents with enterprise platforms and data stores, establishes evaluation methods and operational guardrails, and optimizes solutions for accuracy, latency, scalability, and cost. Collaborates cross-functionally to elicit requirements, reimagine processes with agents at the center, and translate business objectives into robust technical designs. Maintains an agent evaluation and observability platform to measure behavior, detect regressions, and govern releases. Considers security, privacy, and compliance throughout the lifecycle and ensures solutions align with organizational standards and change-management practices. May lead code reviews and mentor developers contributing to agent frameworks, SDKs, and shared components.Read More
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