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Graduate AI Engineer
Computershare UK. Support delivery of AI Hub initiatives across business and technology domains .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI-powered tool development, software engineering, and collaboration across technical teams. Proficient in Agile methodologies and emerging technologies, with a strong focus on delivering innovative solutions that provide business value.
Highest-signal resume keywords
AI-Powered Tool DevelopmentSoftware EngineeringAgile MethodologiesAnalytical Problem-SolvingCollaboration Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Java.NETSQLSoftware EngineeringAI TechnologiesAutomationPrototypingEmerging TechnologiesDevOps PracticesCloud-Based Technologies
Soft Skills
Strong Communication SkillsProactive LearningTeam Collaboration
Industry Keywords
AI Hub InitiativesBest Practices for AI-Enabled Software DeliveryEngineering CapabilitiesBusiness ValueTechnical Discipline
Tech Stack
Tools & technologiesCloudJavaSQL.NET
About the role
Key responsibilities & impact- Support delivery of AI Hub initiatives across business and technology domains
- Build, test and enhance AI-powered tools, automations and reusable engineering capabilities
- Contribute to standards, patterns, controls and best practices for AI-enabled software delivery
- Assist in creating prototypes, proofs of concept and solutions for real business challenges
- Track and evaluate emerging AI technologies and implement capabilities offering clear business value
- Help develop platforms, services and tooling for Computershare teams
- Collaborate with engineering, architecture, product and data teams to design, build and deliver innovative solutions
- Develop technical and professional skills through hands-on delivery, mentoring and AI Hub learning programmes
Requirements
What you’ll need- 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
- 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
- Ability to work effectively within a collaborative team environment
- Proactive approach to learning and willingness to continuously develop new skills and knowledge
- Knowledge gained through studies, placements, internships or relevant work experience
- Strong communication skills
- Willingness to embrace new technologies
Benefits
Comp & perks- 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
- Company contribution when setting aside salary to purchase company shares
- Recognition awards
- Team get togethers
- Support to help you invest in your future
- Experienced colleagues and opportunities to grow
- Mentoring and participation in AI Hub learning programmes