AI Enablement & Solution Engineer (all) 60-100%

About the job

With our initiative AI for Operational Excellence, we create and orchestrate the prerequisites for AI deployment at Finnova. We empower employees and teams, provide orientation in our diverse AI landscape, connect governance, security, architecture, data and technology, and validate the common foundations based on selected model cases.

For this, we are looking for a personality who combines business understanding with technical implementation competence and a strong enablement orientation. Together with specialist teams, technology and cross-functional units, you accompany selected model cases, develop reusable solutions and patterns, and support teams in implementing their own AI applications within clear guardrails.

You are neither a classic data scientist nor a pure software engineer. You work at the interface between the business area, AI, data, governance and technology. Your role is not to implement every use case centrally. You coordinate the practical validation, secure insights and transfer successful approaches into reusable foundations for Finnova.

• collaborating with business units, corporate functions, product teams and development to understand processes, pain points and AI potentials
• selecting and accompanying model cases with organisation-wide learning, validation and reuse value – from prototype through pilot to regulated productive use
• translating business challenges into viable AI solutions, copilots and agents as well as their development, configuration and integration into data, applications and processes
• choosing suitable AI offerings and implementation paths: Buy, Configure or Build – for example with Microsoft 365 Copilot, Copilot Studio, Microsoft Fabric, Azure AI or other approved platforms
• coordinating with AI governance, security, enterprise architecture, data governance as well as technology and platform teams to comply with applicable guardrails
• transferring model case insights into reusable components, reference architectures, integration, governance and security patterns, guidelines and templates as well as into AI offering catalogue, enablement offering and guardrails
• enabling employees and teams through clear guidance, practical support, consulting and knowledge transfer

• a background in computer science, business informatics, data science or comparable practical experience
• your experience with AI or GenAI solutions – from prototype to secure productive operation
• your familiarity with LLMs, RAG, AI agents, APIs, tool calls or MCPs and data integration
• your knowledge of Copilot Studio, Azure AI Foundry, Azure AI Services and Microsoft Fabric; Microsoft 365 Copilot, AWS Bedrock, GitHub Copilot as well as ERP or BI experience are a plus
• your development skills, for example in Python and APIs, as well as your pragmatic use of existing platforms and standard solutions
• your ability to coordinate stakeholders, document decisions and insights and create reusable results
• your enthusiasm for prototyping and further development into robust, integrated solutions with clear responsibility
• your commitment to data protection, information security, data quality and responsible AI use