Applied AI Engineer
SimCorp
Description
WHAT MAKES US, US
Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp!
At its foundation, SimCorp is guided by our values — caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered.
If you like what we’re saying, keep reading!
WHY THIS ROLE IS IMPORTANT FOR US:
The AI Enablement team is a newly established, cross-functional team within SimCorp that builds organizational capability and accelerates AI adoption across all business functions. We partner with product teams and functional leaders to deliver AI literacy programmes, co-build sophisticated AI solutions, manage reusable component libraries, and drive value measurement across the enterprise.
As an Applied AI Engineer, you will be a key member of SimCorp's newly established AI Enablement team. You will work at the intersection of business and technology, partnering directly with functions to co-build AI-powered solutions using the latest enterprise AI platforms.
WHAT YOU WILL BE RESPONSIBLE FOR:
- Partner directly with business functions to either advise on or co-build AI-powered solutions using no/low-code and enterprise AI platforms, including Microsoft Copilot and Claude.
- Lead the end-to-end delivery of functional and cross-functional low-code AI solutions – from requirements gathering and solution design through to testing, deployment, and iteration.
- Advise functions on the selection, configuration, and integration of AI tools into their existing workflows and systems.
- Develop and document reusable components – including prompts, agents, workflow templates, and integration patterns – for inclusion in the shared component catalog.
- Collaborate with the enterprise AI Foundation team to ensure solutions are built on approved infrastructure, meet security requirements, and are compliant with relevant regulations (e.g. EU AI Act, GDPR).
- Support user adoption by working closely with the AI Learning Consultant to develop role-specific training and additional adoption materials for deployed solutions.
- Conduct solution assessments and proof-of-concept evaluations to validate feasibility and value before full-scale build.
- Contribute to best practice dissemination by documenting lessons learned, solution patterns, and reusable assets.
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.
- 3+ years of experience in solution engineering, technical consulting, or applied AI/automation roles.
- Experience building working AI-powered solutions using no/low-code platforms (e.g. Copilot Studio, Claude).
- Solid understanding of large language models, prompt engineering, MCP server, Markdown, and AI agent design patterns.
- Ability to work directly with business stakeholders to translate requirements into functional technical solutions.
- Knowledge and experience with Python
- Experience with API integrations, workflow automation, and connecting AI tools to enterprise systems.
- Understanding of responsible AI principles, data privacy considerations, and enterprise security requirements.
- Structured problem-solving approach; able to balance technical depth with pragmatic delivery under time constraints.
- Fluent English; additional languages are a plus.
- Experience in financial services or investment management
*BENEFITS