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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Engineering and MLOps, with a strong focus on model lifecycle management, performance evaluation, and security compliance. Proficient in leading technical teams and implementing DevSecOps practices to ensure high-quality AI service delivery.
Highest-signal resume keywords
AI EngineeringMLOpsDevSecOpsKubernetesPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Model Lifecycle ManagementModel EvaluationBenchmarkingAI Inference InternalsAPIsNVIDIA GPU InfrastructureTensorRT-LLMSGLangVLLMInfrastructure-as-Code
Soft Skills
LeadershipMentoringCollaborationCommunicationResults-Oriented
Tools & Technologies
KubernetesOpenShiftGitOpsCI/CDNVIDIA NIM
Certifications & Qualifications
Degree in Computer ScienceAbility to Obtain Security Clearance
Industry Keywords
AI SecuritySovereign Cloud PrinciplesNorwegian Security ActEU AI ActDevSecOps
Tech Stack
Tools & technologiesCloudKubernetesOpenShiftPython
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- Solid hands-on experience in AI engineering, MLOps, DevOps, or platform engineering, running AI models in production
- Deep understanding of AI inference internals: tokenization, context length, KV cache and paged attention, prefix caching, continuous batching, chunked prefill, and quantization formats
- Familiarity with inference scaling strategies, including prefill/decode disaggregation, tensor and pipeline parallelism, and speculative decoding
- Understanding of APIs, AI gateways, authentication, observability, production service operations, and semantic routing across models
- Hands-on experience with vLLM, SGLang, TensorRT-LLM, NVIDIA NIM, or Dynamo
- Experience with model evaluation and benchmarking, including capacity and cost calculations
- Understanding of AI security, including guardrails, prompt injection and jailbreak resistance, tenant isolation, and model supply chain integrity
- Experience with NVIDIA GPU infrastructure, including NVLink, NVSwitch, NCCL, InfiniBand, MIG, and RDMA
- Strong architecture and technical skills in Kubernetes, ideally OpenShift
- Strong programming skills, preferably Python
- Experience with DevSecOps, GitOps, CI/CD, and Infrastructure-as-Code
- Proven ability to lead engineers through technical direction and mentoring in a hands-on capacity
- Familiarity with sovereign cloud principles and secure data residency
- Familiarity with the Norwegian Security Act
- Familiarity with the EU AI Act
- Fluent in both Norwegian and English
- Degree in Computer Science, Engineering, or a related field
- Ability to obtain security clearance in accordance with the Norwegian Security Act
- Successful candidates may undergo background checks through Semac
- Innovative, agile, collaborative, results-oriented, and strong communication skills
Benefits
Comp & perks- Competitive benefits plan including insurance schemes
- Pension schemes
- Vacation
- Flexibility in the way of working
- Opportunity to shape the role and contribute ideas
- Startup feeling and energy within a new Telenor business venture
- Part of Telenor Group’s technology and security community
- Work with an experienced, collaborative team