CareerPlan
Köln, NORDRHEIN_WESTFALENFull-time2026-09-24 → 2026-10-24

Core

Develop, integrate, and operate complex AI and data solutions, including LLM applications and agent-based workflows, for clients in the social and healthcare sectors.

Role type

Senior AI Engineer (Cloud & MLOps)

Builds

Cloud-based AI application platforms and automated workflows on Microsoft Azure

Domain

Consulting, Healthcare, Social Services, Cloud Infrastructure

Deliverable

production ML models

Required skills

LLM application development, agent-based workflow design, Azure cloud architecture, CI/CD pipeline development, DevSecOps implementation, model evaluation and monitoring, data governance and residency compliance

Preferred skills

Experience with AWS or Google Cloud, knowledge of identity and access management concepts, ability to explain technical decisions to clients

Technologies

Microsoft Azure, LLMs, CI/CD, DevSecOps tools

Responsibilities

Develop and integrate AI components into existing applications and data sources; ensure reliable model integration through systematic evaluation and testing; deploy and maintain cloud-based application platforms; implement DevSecOps principles for software and AI solutions; communicate technical concepts to clients

Seniority

Mid-Senior, hands-on IC