Senior AI Engineer
Indexed description
Sustainability is an integral part of how we work. Tele2 has been recognized as a climate leader in Europe by the Financial Times and named Sweden’s most sustainable company, reflecting our long-term commitment to reducing our environmental impact and advancing circular solutions together with our customers.
Our values – Be Brave, Take Action, Make it Simple and Act Cost-efficiently – guide our culture, how we collaborate and how we turn ideas into action.
We're looking for a senior AI engineer who sits at the intersection of platform and AI engineering. You have the seniority to keep things simple and bring technical clarity to business conversations. The stack spans AWS, Kubernetes, Snowflake, and GitLab CI. We don't expect a perfect stack match. We're hiring for the person and seniority first.
We want to keep our maintenance boring. We're looking at using AI to do review, self-healing and root-cause analysis. You are the kind of person that enjoys going deep into the tech when it matters. We see ourselves doing a mix of AI use cases and evolving our data/AI platforms.
We use Claude Code and expect you to be comfortable pair-programming with AI.
What You'll Do
- Build and evolve AWS infrastructure (networking, compute, storage, security) for Data & AI platforms and AI use cases
- Partner with engineers and business people to produce ML pipelines and new AI use cases (model serving, evals, guardrails, and the surrounding infrastructure that keeps them robust and scalable)
- Run and maintain Kubernetes clusters (deployments, scaling, keeping workloads healthy)
- Manage and optimize our Snowflake environment (access control, cost management, performance tuning, and data pipeline reliability)
- Build and maintain CI/CD pipelines (GitLab CI, AI-assisted code review, policy checks, test generation) that make deploying boring
- Design infrastructure as code (Terraform) that is readable, reviewable, and version-controlled
- Set up and improve observability and self-healing (monitoring, alerting, dashboards, LLM-driven diagnosis, runbook automation)
- 5+ years of experience in DevOps, SRE, platform engineering, infrastructure, or AI engineering
- Deep hands-on experience with AWS (IAM, VPC, ECS/EKS, S3, Lambda, CloudWatch, or similar)
- Solid experience operating Kubernetes clusters
- Experience managing cloud data warehouses in production
- Strong Infrastructure as Code skills (Terraform preferred)
- Use of AI tools in your own engineering workflow
- Hands-on experience building and operating LLM systems in production (prompts, evals, tool-use, guardrails, or agentic patterns)
Hybrid and flexible work life balance
Career opportunities
Parental benefit
Employee benefits and Tele2 discounts
Inclusive workplace
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