Nombre de vacante Technical Architect - Machine Learning Descripción Get ready… Because you're about to embark on an AI mission to revolutionise small business and accounting practices.
Sage Copilot isn't just an AI-powered tool.
We're developing a game changer.
A tool that will help customers streamline their tasks, boost their efficiency, and unlock new opportunities.
Making it a trusted business partner, the likes of which they've never seen.
You'll be at the forefront of its development, as part of a global team, who can't wait to collaborate and innovate with you.
We're working on a truly ground-breaking product.
So, is this your next technology job?
No—that doesn't do it justice.
This is the future realised—for you, for our customers, and for the shape of technology as we've dreamed it.
We are currently looking for a Senior Technical Architect to take responsibility for designing, building, and maintaining solutions to support Sage's business plans and long-term objectives using state-of-the-art cloud architecture.
As a hands-on technologist, you'll work on proof of concepts and collaborate with engineering and product teams to design and implement solutions.
Additionally, you'll play a key role in building Sage Copilot and integrating our generative AI-powered assistant across cloud products.
The ideal candidate will have extensive expertise in cloud architectures and a solid understanding of AI-driven products.
Responsabilidades principales Own the technical design, architecture decisions and governance for AI driven technology in the cloud.
Design core components in our Reference Architecture.
Proactively identify improvements and drive changes as needed for the assigned codebase, product area and/or systems.
Analyse and improve our services efficiency, scalability, and stability.
Requisitos Extensive background in Technical Architecture with a strong track record of building large-scale cloud enterprise applications.
Proven experience designing solutions in cloud environments like AWS and Azure.
Expertise in containerization and container orchestration.
Knowledge of modern generative AI and LLMs, with hands-on experience in building and scaling large-scale generative AI solutions using platforms like Bedrock.
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