Graduate AI Engineer

Key responsibilities

• Support the delivery of AI Hub initiatives across a variety of business and technology domains.
• Build, test and enhance AI-powered tools, automations and reusable engineering capabilities.
• Contribute to the development of standards, patterns, controls and best practices that support AI-enabled software delivery.
• Assist in the creation of prototypes, proofs of concept and solutions that address real business challenges.
• Track and evaluate emerging AI technologies, introducing and implementing capabilities within the AI Hub where they offer clear business value.
• Help develop platforms, services and tooling that enable our teams across Computershare.
• Collaborate with engineering, architecture, product and data teams to design, build and deliver innovative solutions.
• Develop your technical and professional skills through hands-on delivery, mentoring and participation in AI Hub learning programmes.
• What will you bring to the role?
• As one of our Graduate AI Engineers, you'll bring a curious and creative mindset that wants to solve problems with a strong interest in technology, supported by knowledge gained through your studies, placements, internships or relevant work experience.
• We're looking for someone who is eager to learn, willing to embrace new technologies and motivated to develop their skills in a rapidly evolving field. You'll enjoy solving problems, exploring new ideas and working collaboratively with others to deliver practical solutions. Strong communication skills are really important, as you'll work closely with colleagues across technology and business teams.
• Other key skills and experience
• A degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related technical discipline. Equivalent practical experience will also be considered.
• Foundational software engineering or programming skills, such as Java,.NET, SQL or similar technologies.
• A genuine interest in AI, automation, software engineering and emerging technologies.
• Awareness of Agile delivery methodologies, DevOps practices or cloud-based technologies.
• Strong analytical and problem-solving skills, with the ability to approach challenges logically and creatively.
• The ability to work effectively within a collaborative team environment.
• A proactive approach to learning, with a willingness to continuously develop new skills and knowledge.
• If you're excited by the opportunity to work with AI, contribute to technology transformation and help shape innovative solutions that create real business value, we'd love to hear from you.
• Rewards designed for you
• Flexible work to help you find the best balance between work and lifestyle
• Health and wellbeing rewards that can be tailored to support you and your family
• Invest in our business by setting aside salary to purchase shares in our company, and you’ll receive a company contribution as well.
• Extra rewards ranging from recognition awards and team get togethers to helping you invest in your future
• And more. Ours is a welcoming and close-knit community, with experienced colleagues ready to help you grow. Our careers hub will help you find out more about our rewards and life at Computershare, visit computershare.com/careershub
• #LI-Hybrid