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- Tasks: Support clients with AI tools, onboarding, and technical guidance.
- Company: Sage is a leading software company focused on AI solutions.
- Benefits: Enjoy hybrid working, professional development, and a vibrant team culture.
- Other info: Apply through a gamified assessment and video interview process.
- Why this job: Join a dynamic team and make an impact in the AI field.
- Qualifications: Recent graduates in tech fields with coding skills and a passion for AI.
The predicted salary is between 28800 - 48000 ÂŁ per year.
Sage Newcastle Upon Tyne, England, United Kingdom
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Join to apply for the Graduate AI Enablement & Support Engineer role at Sage
Sage Newcastle Upon Tyne, England, United Kingdom
1 day ago Be among the first 25 applicants
Join to apply for the Graduate AI Enablement & Support Engineer role at Sage
Job Description About The Role
We are looking for a motivated and curiousGraduate Enablement & Support Engineerto join our growing AI Services team inNewcastle. This is a fantastic, early-career opportunity, ideal for recent graduates who are passionate about artificial intelligence and want to apply their technical skills in a real-world setting.
Job Description About The Role
We are looking for a motivated and curiousGraduate Enablement & Support Engineerto join our growing AI Services team inNewcastle. This is a fantastic, early-career opportunity, ideal for recent graduates who are passionate about artificial intelligence and want to apply their technical skills in a real-world setting.
You’ll work in a hybrid role acrosscustomer enablement,technical onboarding, andthird-line product support. You\’ll work directly with internal stakeholders, clients, and engineers to ensure our AI solutions are well-supported, integrated effectively, and are delivering value to Sage.
Key Responsibilities
- Assist customers in getting started with our AI platforms and tools
- Help tailor onboarding materials, documentation, and demos to specific client needs
- Deliver hands-on technical guidance during AI service rollouts or proof-of-concepts
- Support clients in deploying, configuring, and integrating AI features and models
- Help identify improvements to onboarding and support workflows
- Work closely with product and data science teams to understand AI capabilities and translate them into customer-facing solutions
- Provide third-line technical support for AI-powered services
- Log, investigate, and resolve technical issues in collaboration with engineering teams
- Monitor service performance and be pro-active in reducing issues that come in
- Assist with issue triage and escalation processes
To be successful in this role, you\’ll be a Graduate, ideally in Computer Science, Artificial Intelligence, Data Science, Software Engineering or similar.
Alongside this, you\’ll have
- An understanding of core AI/ML concepts, such as natural language processing (NLP), model training, or computer vision
- Coding skills (preferably in Python) and familiarity with development tools and environments
- An understanding of databases and SQL
- Strong analytical and problem-solving skills with a structured approach to troubleshooting
- Excellent written and verbal communication skills
- Eagerness to learn and a customer-focused mindset
This role is based in our Newcastle office. We work on a hybrid basis with three days in office.
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- Apply online with CV/Resume
- Complete a gamified science-driven assessment via Harver, to help us accurately assess if you’re aligned to our values and behaviours, whilst removing any risk of unconscious bias from our process
- If you match the profile, you\’ll be sent a video interview to record.
- If your video interview is successful, you’ll be invited to an Assessment Centre. .
- Successful candidates will join our Graduate Programme on 6 October 2025
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
Software Development
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Graduate AI Enablement & Support Engineer employer: Sage
Contact Detail:
Sage Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate AI Enablement & Support Engineer
✨Tip Number 1
Familiarise yourself with the specific AI tools and platforms that Sage uses. Understanding their products will not only help you during the interview but also show your genuine interest in the role.
✨Tip Number 2
Brush up on your coding skills, especially in Python. Being able to demonstrate your technical abilities during discussions can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss real-world applications of AI and how they can benefit businesses. This shows that you can think critically about the technology and its impact.
✨Tip Number 4
Practice your communication skills, as you'll need to explain complex concepts clearly to clients. Role-playing scenarios can help you feel more confident in these discussions.
We think you need these skills to ace Graduate AI Enablement & Support Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to AI, coding (especially in Python), and problem-solving. Use keywords from the job description to demonstrate your fit for the role.
Craft a Strong Cover Letter: In your cover letter, express your passion for artificial intelligence and how your background aligns with the responsibilities of the Graduate AI Enablement & Support Engineer role. Mention specific projects or experiences that showcase your technical skills.
Prepare for the Gamified Assessment: Familiarise yourself with gamified assessments by practicing similar online tests. This will help you feel more comfortable and perform better when completing the assessment via Harver.
Practice for the Video Interview: Record yourself answering common interview questions related to AI and technical support. Focus on clear communication and showcasing your enthusiasm for the role. This will help you present yourself confidently during the actual video interview.
How to prepare for a job interview at Sage
✨Understand AI Concepts
Make sure you have a solid grasp of core AI and machine learning concepts, such as natural language processing and model training. This knowledge will help you demonstrate your passion for the field and your ability to engage with the technical aspects of the role.
✨Showcase Your Coding Skills
Be prepared to discuss your coding experience, particularly in Python. You might be asked to solve a coding problem or explain how you've used coding in past projects, so brush up on your skills and be ready to showcase them.
✨Prepare for Customer Scenarios
Since the role involves customer enablement and support, think of examples where you've helped others understand complex topics. Be ready to discuss how you would tailor onboarding materials or provide technical guidance to clients.
✨Communicate Clearly
Excellent communication skills are crucial for this position. Practice explaining technical concepts in simple terms, as you'll need to convey information effectively to both technical and non-technical stakeholders.