Agile Lab is a company founded in 2014 with the mission to create value for its customers in data-intensive environments through customisable solutions that establish performance-driven processes, sustainable architectures and automated platforms based on data governance best practices.
Having delivered over 100 successful Elite Data Engineering initiatives, we have used this experience to create Witboost: a modular, technology-agnostic platform that enables modern organisations to discover, value and produce their data in both traditional environments and fully compliant Data Mesh architectures.
With a highly skilled team of over 260 data engineers based in Europe, Agile Lab helps organisations with their data-driven transformation.
Take a look at our handbook to discover our core values and processes.
The opportunity:
Every morning you wake up and the first thing you do is check what's new in the AI world. Not out of anxiety — out of genuine curiosity. You already know that a model released yesterday can change how a company runs its processes tomorrow.
We're looking for you.
We want to build a concrete, sellable, differentiated AI offering. Not slides full of buzzwords, but real solutions: agents that automate workflows, RAG systems on enterprise knowledge bases, AI governance pipelines, multimodal architectures. You have the vision to imagine them and the technical depth to specify them — and you know how to use AI itself to build them faster than anyone else.
This is a cross-functional role: you'll work with the leadership team to design the offering, with clients to identify where AI can make a real difference, and with technical teams to turn ideas into reality. It's not a sales role, and it's not a purely technical one. It's the role for someone who wants to build the future of a data company in the age of AI.
What You'll Do:
Design Agile Lab's AI offering Define the AI solutions we can bring to market: use cases, reference architectures, business va
📌 Strategy & Business Development Consultant - Ai Offering (Milano)
🏢 AGILE LAB
📍 Milano
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