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Erste Digital GmbH

Forward Deployment Engineer - Applied AI

Vienna

AI & DataML / AI Engineer

Als Forward Deployment Engineer - Applied AI bei der Erste Digital GmbH in Wien arbeitest du direkt mit Teams verschiedener Geschäftsbereiche zusammen, um praktische KI-Lösungen zu entwickeln und einzusetzen.

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Job description

Working with us means believing in the future; in the great people who are shaping it together every day and in the wide-ranging career paths it opens up. #believeinyourself

Erste Bank Oesterreich is a leading domestic financial institution. As part of the international Erste Group, we are an attractive employer who offers interesting career opportunities.

Do you want to do more than just experiment with AI and actually put it into practice?

Are you passionate about artificial intelligence and eager to experience the tangible value it can create in everyday work? As a Forward Deployment Engineer, you will collaborate directly with teams across a wide range of business functions. You will analyze existing ways of working, identify opportunities for improvement, and develop practical AI-driven solutions together with end users.

This role is not about theoretical concepts. It is about delivering real impact. You will experiment, build prototypes, validate them through real-world use cases, and continuously refine them in close collaboration with users. To do so, you will leverage tools such as Microsoft Copilot and Copilot Agents, ChatGPT and ChatGPT Work, as well as Databricks One and Agent Bricks.

Your Tasks:

  • Learn about different teams and their ways of working, conduct interviews, and identify meaningful AI use cases.
  • Collaborate with end users to design practical AI-powered workflows and configure prompts, instructions, knowledge sources, connectors, and agents.
  • Test prototypes using realistic business scenarios, continuously refine them through iteration, and successfully deploy them together with the teams.
  • Analyze the actual usage of your solutions and evaluate their impact on efficiency, quality, turnaround times, and employee experience.
  • Work responsibly within the frameworks of data protection, information security, AI governance, and human-in-the-loop principles, while actively sharing insights and learnings with the AI community.