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In this role, you design, co-create and implement enterprise-scale agentic AI systems together with business and IT teams, from solution architecture to production deployment....

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

• Designing and delivering engineering solutions for our businesses and customers
• Providing production engineering services that keep our technology safe, stable and reliable
• Analysing business data within Deutsche Bank to shape plans and delivery

Analysis: you will support our partners in innovative projects and develop customized technological concepts that make our processes easier and more efficient....

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks

• Develop robust, reusable software components in modern C++
• Design APIs, interfaces, and software architecture
• Build and maintain workflows (build, packaging, deployment) and improve CI/CD with GitHub Enterprise/Actions

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• Assess and advance the architectural intent crafted during pre-sales.
• Provide architectural leadership across the full transformation lifecycle and guide platform adoption and evolution.

Test approach and ownership: Design and own the test approach for assigned tools, including risk-based scoping, test levels and acceptance criteria....

Advise business units and senior stakeholders on AI opportunities, strategic priorities, target operating models, and the practical implications of emerging AI technologies...

• Design landing zones, network topology (hub-spoke, transit gateway), and identity/federation models across AWS, Azure, and/or GCP
• Define infrastructure-as-code patterns (Terraform, Bicep/ARM, CloudFormation, or Pulumi) that other teams build on
• Design for HA/DR, resilience, and multi-region setups

• Build and contribute to cloud-native software applications and developer tooling.
• Explore modern technologies across artificial intelligence, AI agents, mobile development, and cloud platforms.
• Automate development workflows to make software and product development faster, simpler, and more reliable.

• Evaluate, configure, and maintain the AI development tool stack (GitHub Copilot, custom agents, local LLMs).
• Standardise how AI agents interact and integrate with our internal tools, services, and development workflows with MCP.

• An opportunity to build the foundation for next-generation products
• The possibility to learn and implement cutting edge 3D computer vision methods
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following the internship

• Write code that is simple, readable, testable, and maintainable, whether you write it yourself or with the help of AI tools
• Conduct code reviews, give helpful feedback, actively contribute in team discussions and decisions

Design, develop, and maintain custom ServiceNow solutions across the platform, leveraging App Engine, JavaScript, Business Rules, Client Scripts, Script Includes, UI Policies, UI Actions, and Flow Designer....

• Developing and extending GPU-accelerated rendering features using Vulkan
• Implementing physically based rendering (PBR) and material models
• Designing and optimizing shader pipelines using Slang and modern graphics APIs

• Administration, configuration and maintenance of Microsoft Dynamics 365 Business Central and Dynamics 365 CRM platforms
• Collaboration with various departments to gather business requirements and deliver tailored Dynamics 365 solutions

Work collaboratively within integrated,cross-functional teams to deliver comprehensive Cloud strategies, infrastructuretransformations and/or plan and execute migration projects...