About the Role
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. As an Applied AI Engineer, you will work at the intersection of business and technology, partnering with functions to co‑build AI‑powered solutions using the latest enterprise AI platforms.
Responsibilities
- Partner with business functions to advise on or co‑build AI‑powered solutions using no/low‑code and enterprise AI platforms, including Microsoft Copilot and Claude.
- Lead end‑to‑end delivery of functional and cross‑functional low‑code AI solutions – from requirements gathering and solution design through testing, deployment, and iteration.
- Advise functions on selection, configuration, and integration of AI tools into existing workflows and systems.
- Develop and document reusable components – 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.
- Document lessons learned, solution patterns, and reusable assets for best‑practice dissemination.
Qualifications
- 3+ years of experience in solution engineering, technical consulting, or applied AI/automation roles.
- Experience building AI‑powered solutions with 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 of Python and 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 is preferred.
Benefits
- Competitive salary and bonus scheme.
- Focus on work‑life balance and tailored professional development support.
