Senior Consultant – AI Transformation, Decisioning

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Logo of Spyrosoft

Spyrosoft

1001 - 5000 employees

Founded 2016

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

B2B • Enterprise • Artificial Intelligence

Spyrosoft is a European technology services and software engineering company that partners with enterprises to deliver digital transformation, custom software, and IT consulting. It provides cloud, AI/ML, embedded and IoT development, cybersecurity, product design, managed services, and staff augmentation, and builds platforms and products such as DebtPro, Allpro, and VoicePro. Spyrosoft serves clients across multiple sectors including automotive, healthcare and life sciences, financial services, geospatial, media and entertainment, robotics and energy, and operates from offices across Europe, the UK, and the US.

📋 Description

• 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

🎯 Requirements

• Experience in: 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

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