As a Student Assistant for AI Engineering - Consulting Tools, you will join a small, focused team building AI-powered internal tools used directly in consulting delivery. The role sits at the intersection of AI engineering and real-world consulting delivery — where the solutions you build are used, not just demonstrated.

It is a structured entry-level role. You will develop under the close mentorship of a Senior Architect with hands-on experience building the same class of tools, working on real problems with real delivery impact from day one. Working within a defined learning path alongside a peer graduate, you will progressively take on greater ownership — from contributing to existing tools to designing and shipping complete new ones.

You will not be left to figure things out alone. Success is measured by growth, contribution, and the adoption of what you build.

WHY THIS ROLE IS IMPORTANT TO US

SimCorp's consulting delivery involves solving complex, recurring problems across dozens of clients. The purpose of this team is to turn those recurring challenges into scalable, AI-enabled capabilities — reducing manual effort, increasing consistency, and raising quality across engagements.

As an AI Engineer Student, you will contribute to that mission from the start — building real AI tools used in live projects, with the support and structure to develop into a confident, independent engineer over time. As the team grows, you will have the opportunity to influence how these tools are designed, built, and used across consulting delivery — not just contribute to them.

YOUR GROWTH PATH
This is a development role. You will start by contributing to existing tools and learning the stack, the team, and real consulting delivery, and grow towards designing and shipping complete tools — web apps, APIs, and agent integrations — independently. We expect you to grow into the full breadth of the work over time, with mentorship throughout; we are not expecting you to arrive with all of it. How quickly you progress will depend on you, and we will support that growth rather than hold it to a fixed timetable.

WHAT YOU WILL BE RESPONSIBLE FOR

• Tool development — Build AI‑powered consulting tools; progress from contributions to independently shipping full apps/APIs/agent integrations.

• Engineering — Integrate AI with systems, follow governance, participate in code reviews, write maintainable code.

• AI engineering — Use prompting, RAG, evaluation; design predictable and safe AI behavior; understand LLM limitations.

• Research — Track AI trends, read research, test new tools, run experiments, assess practical fit.

• Collaboration — Work with internal AI teams, share components, contribute to community practices.

• Delivery support — Support tool usage, gather feedback, iterate based on real‑world needs.

• Knowledge & reuse — Document solutions, contribute to internal libraries, support training.

WHAT WE VALUE
Most importantly, you can see yourself contributing and thriving in the position described above. How you gained the skills needed for doing that is less important. We expect you to be good at several of the following and be able to - and interested in - learning the rest.

Core Engineering

• A final‑year student pursuing a BSc or MSc in Computer Science, Software Engineering, or a related discipline.

• A solid foundation in Python.

• Some experience building and consuming REST APIs.

• Exposure to web development — frontend and/or backend (e.g. React/TypeScript, or Python/Node back ends).

• Familiarity with Git and collaborative workflows (branches, pull requests, code review).

• Exposure to a cloud platform (Azure or AWS).

AI & LLM Exposure

• Hands-on exposure to developing AI solutions through coursework, projects, or internships.

• Awareness of prompt engineering and RAG approaches.

• An understanding of LLM behaviour and associated risks.

Mindset & Problem Solving

• Genuine curiosity about AI and a habit of self-directed learning — the field moves fast, and staying current is part of the job.

• Ability to break down ambiguous problems.

• Comfortable asking for help and incorporating feedback.

• A focus on building solutions that deliver real value.

Collaboration & Fit

• Enthusiasm for working openly — sharing knowledge and building relationships across teams, rather than working in isolation.

• Interest in applying technology in real-world delivery contexts.

• Ability to communicate with non-engineers.

• Openness to iteration and feedback.

Preferred Qualifications - Nice to have

• Building and deploying full-stack web applications end-to-end.

• Agentic / tool-using AI, and emerging interoperability protocols such as the Model Context Protocol (MCP) and Agent-to-Agent (A2A) — building tools that connect AI models to external systems, data, and other agents.

• Containerisation (Docker) and exposure to CI/CD.

• Relational and/or vector databases (e.g. PostgreSQL, SQLite, a vector store).

• Designing evaluation frameworks for AI output quality.

• Personal projects or open-source contributions demonstrating delivery capability — ideally something others have used.

• Exposure to enterprise or financial systems.

• Experience working in team environments (including academic projects).

Success is measured by growth, contribution, and the real adoption of delivered tools.

BENEFITS
SimCorp offers a strong work-life balance and structured opportunities for professional development. Benefits may vary by location across our 30+ global offices.

For this role, we provide:

• A defined mentorship programme.

• A peer learning environment.

• Structured development towards independent contribution.

• Dedicated time for research, learning, and staying current with AI developments.

APPLICATION PROCESS
Please apply through our Workday system (only applications submitted via Workday will be processed).

In addition to your CV, please include a short cover letter addressing:

• What draws you to building internal consulting tools.

• Something you have built that others have used.

• What you aim to learn in your first year.

For further information, contact: Øyvind Fjeldvik Evensen (AVP) or Talent Acquisition.

ABOUT SIMCORP
For more than 50 years, SimCorp has worked with investment and asset managers to become a leading provider of integrated investment management solutions. We are 3,500+ employees globally and a subsidiary of Deutsche Börse Group. We are committed to diversity, inclusion, and continuous development, ensuring we deliver best-in-class solutions to our clients.

Location: Copenhagen