AI Builder, Finance Transformation
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
- Location
- Gothenburg , Sweden
About Aurora Engineering AB
Aurora Engineering AB is a Swedish engineering consultancy providing technical expertise and project support within the automotive and industrial sectors. We connect skilled engineers with innovative companies to deliver high-quality solutions in product development, design, testing, and digital engineering.