Senior AI/ML Platform Engineer - 19656 - Malmo/Lund

About this job

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. 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

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