AI Engineer Degree Apprentice
Gregory Micallef Associates · Beckenham
Purpose of the Role
This is a hands-on engineering role combined with a structured degree apprenticeship. The successful candidate will be responsible for identifying opportunities to apply Artificial Intelligence, automation and modern digital technologies across service delivery, cyber security, documentation, reporting, knowledge management and client operations.
As the first AI-focused employee within the organisation, this role offers the opportunity to shape how AI is adopted throughout the business. The apprentice will work closely with engineers, management and clients to develop practical solutions that improve productivity, enhance customer experience and create competitive advantage.
The role is designed to develop an individual into a skilled AI Engineer capable of designing, implementing and governing AI-powered solutions in a commercial environment.
Key Responsibilities
AI Innovation & Research
Research emerging AI technologies, platforms and best practices.
Monitor developments in Microsoft Copilot, Azure AI, OpenAI, Power Platform and related technologies.
Evaluate how new AI capabilities could improve internal operations and client services.
Produce business cases and recommendations for AI initiatives.
Internal AI Adoption
Identify repetitive, time-consuming business processes suitable for automation or AI enhancement.
Develop AI-powered solutions that improve efficiency across service delivery and administration.
Assist departments in adopting AI tools effectively and safely.
Create reusable AI prompts, workflows and templates for staff.
Client AI Solutions
Help identify opportunities where AI can benefit SME clients.
Participate in client workshops and discovery sessions.
Build proof-of-concepts and pilot projects.
Support implementation of AI-powered services that align with client business objectives.
Data & Knowledge Management
Assist in developing internal knowledge bases and AI-enabled search solutions.
Help prepare organisational data for AI consumption.
Develop processes that improve data quality and usability.
Support document classification, summarisation and knowledge extraction initiatives.
Automation & Integration
Build integrations between business applications using APIs and automation platforms.
Develop workflows using Microsoft Power Platform and other automation technologies.
Assist with scripting and software development activities supporting AI projects.
Maintain and improve existing automations.
Security, Governance & Compliance
Follow Cyber Essentials, ISO 27001 and company security standards.
Ensure AI solutions comply with data protection and privacy requirements.
Participate in AI governance activities.
Help develop responsible and secure AI adoption practices.
Learning & Professional Development
Successfully complete all apprenticeship coursework and degree requirements.
Attend tutor-led training and workshops.
Apply academic learning to real-world business challenges.
Share learning outcomes with colleagues.
Maintain an active portfolio of projects and achievements.
Typical Projects
Examples of work may include:
AI-assisted Service Desk ticket triage.
Automated knowledge article generation.
Internal staff Copilot training and adoption programmes.
AI-powered reporting and analytics.
Customer service chatbots.
Document summarisation solutions.
AI-driven onboarding and offboarding workflows.
Security event analysis and threat intelligence automation.
Microsoft 365 Copilot implementation projects.
Retrieval-Augmented Generation (RAG) knowledge solutions.
Skills required
Skills & Competencies
Essential
Strong interest in Artificial Intelligence and emerging technologies.
Passion for technology and problem solving.
Analytical mindset with attention to detail.
Excellent written and verbal communication skills.
Ability to work independently and manage competing priorities.
Strong organisational skills.
Curiosity and willingness to learn continuously.
Ability to explain technical concepts to non-technical users.
Professional and customer-focused attitude.
Desirable
Experience using ChatGPT, Microsoft Copilot or similar AI tools.
Basic programming or scripting experience.
Understanding of Microsoft 365 technologies.
Experience with Power Automate, Power Apps or Power BI.
Familiarity with databases and data analysis.
Knowledge of cyber security fundamentals.
Experience with Python, JavaScript or PowerShell.
Qualifications required
Qualifications & Entry Requirements
Essential
A-Level, BTEC, T-Level or equivalent Level 3 qualification.
GCSE English and Mathematics (Grade 4/C or above).
Eligibility to undertake a UK Degree Apprenticeship.
Desirable
Computing, Digital Technology or STEM-related qualifications.
Personal projects demonstrating an interest in AI or software development.
Training you'll get
BPP apprenticeship training programmes are delivered virtually by our fully qualified and industry-experienced training team. Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace.
Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience.
Future prospects
What Success Looks Like After 24 Months
The successful apprentice should be able to:
Identify and deliver practical AI opportunities independently.
Build production-ready AI and automation solutions.
Act as GMA's internal AI subject matter expert.
Support client-facing AI projects.
Contribute measurable improvements to efficiency and service delivery.
Demonstrate strong understanding of AI governance, security and compliance.
Successfully complete the degree apprenticeship and progress into an AI Engineer or Senior AI Engineer role.
The essentials
Hours, commitment and the dates that matter.
Training provider
Delivers the training for this role and manages your application.
