PhD Candidate in Conversational Banking and Agentic AI

Atruvia AG

Doktorand entwickelt Agentic-AI-Prototypen für Conversational Banking bei Atruvia, dem Digitalisierungspartner der genossenschaftlichen FinanzGruppe. Wissenschaftliche Evaluation und Integration in Banking-Plattformen.

Posted 9/7/2026full-timeKarlsruhe • 🇩🇪 GermanyMid-LevelSenior💰 €62,000 - €80,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing innovative Conversational Banking solutions using Agentic AI and Knowledge Graphs, with strong programming skills in Python and SQL. Capable of collaborating in an agile, interdisciplinary environment while effectively communicating research findings in both German and English.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyDatabricks KnowledgeConversational UI DesignBusiness-Fluent German

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLBusiness Intelligence ApplicationsConversational BIAgentic AIKnowledge GraphsDesign MethodologiesLLMsDelta LakeMLflow

Soft Skills

CollaborationIndependent WorkAgile Methodologies

Tools & Technologies

DatabricksUnity CatalogNotebooks

Industry Keywords

Conversational BankingData Intelligence PlatformOmnichannel PlatformHuman-Centered SystemsInterdisciplinary Team

Tech Stack

Tools & technologies

PythonSQLUnity

About the role

Key responsibilities & impact

Write a doctoral dissertation in the field of Agentic Enterprise Systems, focusing on Conversational Banking
Collaborate with and receive supervision from Prof. Dr. Alexander Mädche at KIT’s Human-Centered Systems Lab
Develop innovative Conversational Banking prototypes using Agentic AI and Knowledge Graphs on Databricks
Scientifically evaluate the prototypes and transfer successful concepts into production
Design solutions for potential future integration into the Data Intelligence Platform and omnichannel platform
Work closely with the Corporate AI Office, the omnichannel platform team, researchers at KIT, and the Cooperative Financial Group
Develop innovative Conversational Banking solutions using novel design methodologies
Actively transfer knowledge from research into practice
Present research findings at national and international conferences
Publish in renowned academic journals
Contribute to an agile, interdisciplinary team developing data-driven AI solutions for banking

Requirements

What you’ll need

An outstanding master’s degree in computer science, business informatics, industrial engineering, or a comparable field
Strong knowledge of Python and SQL
Initial experience developing business intelligence applications, such as dashboards or Conversational BI
Knowledge of Databricks, Delta Lake, Unity Catalog, Notebooks, and MLflow, or willingness to learn
Initial exposure to Conversational UIs, design methodologies, LLMs, Agentic AI architectures, or Knowledge Graph/Semantic Layer concepts
Business-fluent German skills at least at C1 level
Good to very good English skills at least at B2 level
Willingness to work on-site regularly in Karlsruhe, expected to spend two days at KIT and two days at Atruvia
Willingness to work independently and collaboratively in an agile and academic environment
Complete application documents, including a CV and relevant employment references
Additional submission of application documents by email to Prof. Dr. Alexander Mädche at KIT

Benefits

Comp & perks

30 days of annual leave
Flexible working in a hybrid mix of remote work and on-site presence in modern office environments (Activity-Based Working)
Individual working-time models, part-time options, 30–40 hours for full-time employment, and a lifetime working-time account (sabbatical and/or leave before retirement)
Family budget and support in special family situations
Company pension scheme with employer contribution
Bike leasing
IT hardware leasing
Employer-funded savings benefits
Additional paid day off
Structured and individualized onboarding with a designated buddy
Regular feedback meetings with the People Lead
Health management initiatives, including partnerships with Familiengenossenschaft and voiio
Company restaurants
Sports programs
A wide range of professional development opportunities
Long-term career and job security
Attractive collectively agreed salary
Kununu Top Company 2026, a Kununu score of 4.3, and a recommendation rate of at least 90%