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AI Engineer – Graduate
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 Agile methodologies while effectively collaborating with cross-functional teams to deliver innovative solutions. Proficient in programming languages such as Java and .NET, with a strong focus on continuous learning and problem-solving.
Highest-signal resume keywords
AI-Powered Tool DevelopmentSoftware EngineeringAgile MethodologiesJava ProgrammingCollaboration 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 DevelopmentAutomationPrototypingEmerging TechnologiesAnalytical SkillsProblem-Solving
Soft Skills
Strong CommunicationCollaborative TeamworkProactive Learning
Tools & Technologies
AI HubCloud-Based TechnologiesDevOps Practices
Industry Keywords
Artificial IntelligenceData ScienceAgile DeliveryBest PracticesEngineering Capabilities
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
- Create prototypes, proofs of concept and solutions addressing real business challenges
- Track and evaluate emerging AI technologies and implement capabilities offering business value
- Help develop platforms, services and tooling for teams across Computershare
- Collaborate with engineering, architecture, product and data teams to design, build and deliver 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
- Strong communication skills
- Knowledge gained through studies, placements, internships or relevant work experience
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
- Salary sacrifice to purchase company shares, with a company contribution
- Recognition awards
- Team get togethers
- Support to invest in your future
- Experienced colleagues and AI Hub learning programmes to support professional growth