Senior Consultant – AI Transformation & Decisioning (Legal Environment)
Project description:
The project focuses on supporting complex data, process, and AI transformation programmes within legal or regulatory environments (e.g. EFSA context). The role involves designing and delivering AI-enabled solutions that enhance decision-making, automate processes, and improve efficiency while ensuring compliance with legal, regulatory, and governance frameworks. The position acts as a bridge between business, legal, data, and technology stakeholders, translating business and legal requirements into scalable AI-driven solutions.
Tech stack:
- Microsoft Azure AI Services (Azure OpenAI, Cognitive Services)
- Machine Learning frameworks (conceptual or hands-on exposure)
- Data platforms (Azure Data Lake, Synapse, Databricks – nice to have)
- Search & retrieval technologies (vector search, RAG architectures)
- Azure DevOps / Jira (Agile delivery and backlog management)
- Power BI / Excel (data analysis and reporting)
- M365 tools (Teams, SharePoint, PowerPoint)
- Optional: Python / SQL
About Spyrosoft
Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, we were among the fastest growing technology companies in Europe, according to the Financial Times. We were founded by a group of tech experts with established backgrounds in software engineering, who created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. Having a unique offering, which bridge the gap between technology and business, we specialise in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries.
- AI-enabled transformation programmes (including GenAI / Machine Learning)
- Working in or with legal, regulatory, or compliance-driven environments
- Redesigning end-to-end business processes leveraging AI
- Eliciting and documenting AI-related requirements and use cases
- Delivering AI components into production environments
- Integrating AI services within enterprise ecosystems (e.g. Azure-hosted AI, data platforms, vector search)
- Conducting data analysis with strong attention to data quality and governance
- Modelling complex decision processes combining human and AI inputs
- Solid understanding of AI/ML concepts and decision intelligence frameworks
- Ability to align AI solutions with legal and regulatory requirements
- Strong expertise in process optimisation and intelligent automation
- Proven ability to translate business and legal needs into technical solutions
- Excellent stakeholder management in complex, multi-stakeholder environments
- Strong analytical and problem-solving mindset
Nice to have:
- Experienced in using AI tools in day-to-day workflow
- Experience with data platforms such as Azure Data Lake, Synapse, Databricks
- Knowledge of Python or SQL