AI Engineer

• Design, build, and operate the model-serving stack for the Model as a Service offering
• Lead the DevSecOps AI Services team and set technical direction through architecture, code review, and mentoring
• Evaluate, deploy, optimize, upgrade, and operate large language models and other AI models
• Own the model lifecycle
• Own benchmarking and evaluation covering model quality, latency, throughput, concurrency, GPU utilization, and memory consumption
• Own the capacity and cost model supporting AI service pricing
• Expose services securely through APIs and gateways with authentication, authorization, rate limiting, quotas, and usage metering
• Own production service quality processes, including monitoring, service-level indicators, incident response, change requests, and continuous improvement
• Collaborate with Cloud Infrastructure, technology, and business development teams
• Embed security and sovereignty into AI service roadmaps

AI Engineer jobs in Norway

Tech Lead – AI Services