Matillion is The Data Productivity Cloud.
We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data.
We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves.

ABOUT THE ROLE

At Matillion, we’re on a mission to eliminate friction in data engineering and supercharge productivity through the power of AI. As part of the Product organisation, our Data Science team is laser-focused on two things: pioneering how artificial intelligence and machine learning are woven into our products, and understanding how our customers use those products to drive continuous innovation.
This AI Architect role sits at the heart of that mission. You’ll lead the integration of cutting-edge machine learning into our platform—especially our natural language user interface within the Data Productivity Cloud—helping users turn thoughts into pipelines with just a few words. You’ll also expand AI across pipeline features, enabling data engineers to effortlessly handle the ever-growing variety of unstructured data. If you’re driven by impact, innovation, and the chance to shape how AI empowers thousands of engineers globally, this is the opportunity for you.
We value in-person collaboration here at Matillion, therefore this role will ideally follow our hybrid work structure where employees work 2 days a week in the Manchester office. However, we can be flexible for the right person.

WHAT YOU WILL BE DOING

• Lead Innovation: Design and deploy advanced Generative AI (Gen AI) solutions directly into Matillion’s product ecosystem.
• Empower Users: Optimize and evolve our natural language interface to make data workflows intuitive, intelligent, and seamless.
• Push Boundaries: Apply advanced AI patterns like Retrieval-Augmented Generation (RAG), hierarchical agents, and agentic swarms.
• Deliver Reliability: Implement evaluation and monitoring frameworks to ensure AI solutions are robust, accurate, and trustworthy.
• Collaborate Across Teams: Partner with engineers, product managers, and researchers to turn bold ideas into production-ready features.
• Mentor & Inspire: Guide and grow a team of AI enthusiasts, fostering a culture of curiosity, creativity, and continuous learning.