AS A TEAM:

Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world.
You’ll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level.
You’ll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways
If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the for you. As part of our team, you’ll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.
Your background will involve contributing across projects including software engineering, technology architecture solution implementation, product selection and application strategy definition, or the introduction of technology to drive business improvement into an operational organisation.
Our team has the remit to operate in multiple industries, including Financial Services, Resources, Products, Communications and Health & Public Services.

WE ARE LOOKING FOR SIGNIFICANT EXPERIENCE IN:

• AI/ML platform technologies and services such as Sagemaker, Vertex, Azure ML, OpenAI, LangChain, AutoML, OCR, STT, feature stores, and vector databases.
• Driving literature reviews then build proof-of-concepts to validate hypotheses and thus inform AI/ML implementation architectural patterns and best practices for testing and evaluating new models, model combinations, and engineering patterns. Including data drift detection, experimentation tracking, RAG, and deployment models.
• Designing and deploying robust, scalable, and secure cloud-based solutions (networking, security, storage, monitoring, scaling, disaster recovery/high availability) on one or more cloud platforms.
• Software Engineering, DevSecOps, and operational excellence in AI/ML solution delivery.