We are looking for a hands-on AI Builder to support and accelerate finance transformation initiatives. The role focuses on identifying high-value AI opportunities, developing and deploying working AI agents, and helping define a roadmap for scaling AI solutions across the finance function.
The ideal candidate combines a strong finance background with practical AI development and data skills and is comfortable collaborating with Finance, IT, and business stakeholders in an international environment.
Key Responsibilities
- Identify and assess AI opportunities across finance processes, including financial close, reporting, FP&A, and controlling.
- Design, build, test, and deploy AI agents using platforms such as Microsoft Copilot Studio, Google solutions, or similar technologies.
- Extract, clean, transform, and structure data from ERP, EPM, and unstructured data sources.
- Develop and execute proof-of-concepts (PoCs) for relevant AI use cases.
- Evaluate PoC results and translate findings into a prioritized AI implementation roadmap.
- Work closely with Finance, IT, and business stakeholders across different countries and cultures.
- Support the scaling and adoption of successful AI solutions across the finance organization.
Required Skills & Experience
- Approximately 4–8 years of relevant professional experience.
- Solid finance background, particularly within Accounting, Controlling, and/or FP&A.
- Proven hands-on experience building AI agents and practical AI solutions, rather than only conceptual or theoretical prototypes.
- Strong experience with data extraction, transformation, and cleansing.
- Experience with relevant technologies such as:
- SQL
- Python
- Power Query
- Google ADK
- GCP BigQuery
- Experience with Microsoft Copilot Studio, Google AI platforms, or similar AI/agent development platforms.
- Experience exploring new projects/use cases and developing implementation roadmaps.
- Fluent English and experience working within international and cross-cultural teams.
- Strong collaboration and stakeholder-management capabilities.
Personal Attributes
- Self-driven and proactive.
- Pragmatic and solution-oriented.
- Comfortable working with ambiguity and evolving requirements.
- Curious about new AI technologies and their practical business applications.
- Able to bridge the gap between Finance, Data, AI, and Business needs.
Nice to Have
- Experience in finance transformation or digital transformation initiatives.
- Strong understanding of ERP/EPM systems and financial data structures.
- Experience with cloud-based data and AI platforms.
- Knowledge of Generative AI, AI agents, and automation technologies.
Role Category: Finance / AI Transformation
Experience Level: 4–8 years
Language: Fluent English