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

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