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Senior AI/ML Platform Engineer - 19656 - Malmo/Lund
ITSenior
Malmo, SwedenFull-time · On-site Publicerad 22 september 2026 Ansök senast 29 september 2026
Språk: EnglishMinsta erfarenhet: 5 år
Sam Agassi
HR Administrator
Efterfrågade kompetenser
Agentic AIAIGenerative AI
Om tjänsten
Assignment Description
We are looking for a Senior AI Platform Engineer for Bosch in Malmö/Lund.
The role combines Platform Engineering, DevOps, Cloud Infrastructure and Generative/Agentic AI. You will build reusable platform capabilities and production-ready foundations for AI applications, AI assistants and agentic workflows.
The focus is not only on AI development but on making AI solutions secure, scalable, observable, reliable and production-ready.
What You Will Work On
- Build and operate AI platform capabilities
- Develop reusable platform patterns and golden paths
- Turn AI prototypes into secure production services
- Build CI/CD and infrastructure automation
- Work with Docker, Linux and Infrastructure as Code
- Operate workloads in AWS, Azure or GCP
- Improve monitoring, logging and platform reliability
- Build foundations for AI assistants and agentic workflows
- Work with LLM/model providers and tool integrations
- Support RAG, retrieval and knowledge-enabled applications
- Establish security guardrails around identity, secrets and access
- Investigate production issues and improve reliability
- Collaborate with AI, security, cloud, data and product teams
- Create technical documentation and engineering standards
What You Bring
- 5+ years in Platform Engineering, DevOps, SRE, Cloud Infrastructure or similar
- Strong experience with Linux and Docker/containers
- Strong CI/CD experience
- Experience with Infrastructure as Code, preferably Terraform
- Experience with AWS, Azure or GCP
- Strong scripting/programming skills in Python, Bash, Go or similar
- Experience operating reliable production services
- Experience with monitoring, logging and incident troubleshooting
- Practical experience with Generative AI, ML, AI platforms or AI workloads
- Understanding of AI agents, tool calling, RAG or coding assistants
- Security-focused approach to identity, secrets, networking and least privilege
- Ability to translate new AI technologies into practical production solutions