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.
Requirements:
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
Must have: Machine learning, Use cases, AI, Data analysis, Stakeholder management
Nice to have: Azure Data Lake, Python, SQL
Daily tasks: - Drive AI-enabled transformation initiatives in complex, regulated environments
– Elicit, analyse, and document AI use cases, requirements, and business needs (including legal and compliance aspects)
– Lead end-to-end process redesign with integrated AI capabilities
– Design and support implementation of decision intelligence models combining human judgment and AI outputs
– Contribute to delivery and deployment of AI components into production environments
– Ensure integration of AI services within enterprise architectures (Azure AI, data platforms, vector search)
– Perform data-driven analysis with focus on data quality, traceability, and compliance
– Collaborate with multi-disciplinary stakeholders (legal, business, IT, data, external providers)
– Ensure compliance with governance, security, legal, and enterprise architecture standards
– Support business analysis activities within broader transformation initiatives