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