AI & Digitalization Engineer (m/f/d) for 20h/week

Segula Technologies; Graz; On-site; EUR 70,000 - 95,000; Full time

Job summary

Groupe SEGULA Technologies SA in Austria seeks an AI/ML engineer to develop, deploy, and optimize machine learning models and AI systems. You will work across data science, IT, and business teams to translate needs into scalable technical solutions.

Responsibilities include building intelligent agents with low-code tools, enabling automation with Power Automate, and contributing to Azure AI Foundry initiatives, while ensuring data governance and robust documentation.

Responsibilities

• Develop, implement, and optimize machine learning and AI models, with a strong emphasis on LLMs.
• Build and deploy intelligent agents using low-code environments such as Microsoft Copilot Studio.
• Implement automation solutions using platforms such as Power Automate to streamline workflows and integrate AI capabilities.
• Contribute to high-code AI development using Azure AI Foundry (preferred).
• Collaborate with data scientists, domain experts, and IT teams to translate business needs into technical solutions.
• Ensure high standards of data quality, security, governance, and compliance.
• Support design of scalable AI architectures, including modular agentic systems.
• Maintain documentation, testing, monitoring, and continuous improvement of AI systems.
• Stay up to date on emerging AI technologies and trends

Job description

• Develop, implement, and optimize machine learning and AI models, with a strong emphasis on LLMs.
• Build and deploy intelligent agents using low-code environments such as Microsoft Copilot Studio.
• Implement automation solutions using platforms such as Power Automate to streamline workflows and integrate AI capabilities.
• Contribute to high-code AI development using Azure AI Foundry (preferred).
• Collaborate with data scientists, domain experts, and IT teams to translate business needs into technical solutions.
• Ensure high standards of data quality, security, governance, and compliance.
• Support design of scalable AI architectures, including modular agentic systems.
• Maintain documentation, testing, monitoring, and continuous improvement of AI systems.
• Stay up to date on emerging AI technologies and trends