Senior Consultant – AI Transformation & Decision Intelligence

Spyrosoft is a software engineering company established in 2016, specializing in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education, and financial services industries. The company bridges the gap between technology and business and has been recognized as one of the fastest growing technology companies in Europe in 2021 and 2022.

• Minimum 4 years of experience in AI-enabled transformation programmes including GenAI, Machine Learning, or Decision Intelligence
• Experience redesigning end-to-end business processes leveraging AI
• Experience eliciting and documenting AI-related requirements and use cases
• Experience delivering AI solutions into production environments
• Experience integrating AI services within enterprise ecosystems such as Azure AI and data platforms
• Strong data analysis skills with focus on data quality and governance
• Ability to design complex decision processes combining human and AI inputs
• Strong understanding of AI/ML concepts and enterprise AI architectures
• Expertise in decision intelligence and process optimisation
• Ability to translate business problems into AI-driven solutions
• Strong analytical and data-driven mindset
• Excellent stakeholder management and communication skills
• Experience working in complex, regulated, or multi-stakeholder environments

Nice to have:

• Experience using AI tools in day-to-day workflow

• Drive AI-enabled transformation initiatives across complex business domains
• Elicit, analyse, and document AI use cases, requirements, and business needs
• Lead end-to-end process redesign, integrating AI capabilities to enhance efficiency and decision-making
• Design and support implementation of AI-driven decision models combining human and machine inputs
• Contribute to delivery and deployment of AI components into production environments
• Support integration of AI services within enterprise architectures, including cloud-based solutions (e.g. Azure)
• Perform data-driven analysis with strong focus on data quality, integrity, and governance
• Collaborate with multi-disciplinary stakeholders (business, IT, data teams, external providers)
• Ensure alignment with enterprise standards, governance, and security frameworks
• Provide structured business analysis support across data, process, and AI transformation initiatives