Senior Consultant – AI Transformation & Decision Intelligence

O projekcie:
Tech stack:- Microsoft Azure AI Services (e.g. Azure OpenAI, Cognitive Services)- Machine Learning frameworks (conceptual understanding or hands-on exposure)- Data platforms (e.g. Azure Data Lake, Databricks, Synapse – nice to have)- Search & retrieval technologies (e.g. vector search, RAG architectures)- Azure DevOps / Jira (Agile delivery and backlog management)- Power BI / Excel (data analysis and reporting)- M365 Suite (Teams, SharePoint, PowerPoint)- Optional: Python / SQL (for data analysis or prototyping)Project description:- Support of complex data, process, and AI transformation programmes (e.g. EFSA context)- Focus on leveraging AI (including GenAI and Machine Learning) to redesign business processes, enable intelligent decision-making, and deliver scalable AI solutions- Work within enterprise environments with strong alignment to organisational goals- Act as a bridge between business stakeholders, data teams, and technical teams- Ensure successful deployment of AI solutions into production environmentsAbout 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.

Wymagania:
- Minimum 4 years of experience in:- AI-enabled transformation programmes (including GenAI, Machine Learning, or Decision Intelligence)- Redesigning end-to-end business processes leveraging AI- Eliciting and documenting AI-related requirements and use cases- Delivering AI solutions into production environments- Integrating AI services within enterprise ecosystems (e.g. Azure AI, data platforms)- Performing data analysis with strong focus on data quality and governance- Designing 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 environmentsNice to have:- Experienced in using AI tools in day-to-day workflow

Codzienne zadania:
- 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