AI Automation Apprentice (Generali)

ASSICURAZIONI GENERALI SPA

City of London (EC3R 7NE)

Closes in 30 days (Sunday 12 July 2026)

Posted on 11 June 2026

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Contents

Summary

An AI Automation Apprentice supports the design, development, and deployment of automated solutions using artificial intelligence and workflow technologies. 

Wage

£22,000 a year

Minimum wage rates (opens in new tab)

Training course
Artificial intelligence (AI) and automation practitioner (level 4)
Hours
Monday to Friday Shifts to be confirmed

35 hours a week

Start date

Monday 20 July 2026

Duration

1 year 6 months

Positions available

1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

The role involves learning how to build and maintain automation pipelines, assist in integrating AI tools into business processes, and support testing and optimisation of solutions. Apprentices work closely with technical and business teams to improve efficiency, reduce manual effort, and ensure automation initiatives align with organisational objectives.

Role Overview

The AI Automation Apprentice is an entry-level role designed to develop practical skills in artificial intelligence (AI), automation technologies, and digital process optimisation. The apprentice will support the design, development, testing, and deployment of AI-driven and automated solutions that enhance operational efficiency and reduce manual workload across the organisation. Working alongside experienced It, security, and business teams, the apprentice will gain hands-on experience with automation platforms, scripting, and AI tools, while developing an understanding of governance, security, and compliance requirements in regulated environment.

Key Responsibilities:

Automation Development & Support

  • Assist in designing and building automation workflows using tools such as Power Automate or Azure LogicApps
  • Support the development of AI-enabled solutions such as chatbots and intelligent workflows
  • Maintain and update existing automation processes
  • Troubleshoot and resolve issues in automation pipelines

AI & Digital Solution Implementation

  • Support the integration of AIcapabilities into business processes
  • Assist in configuring and testing AI tools
  • Participate in pilot projects for new AI technologies
  • Document AI use cases and outcomes

Testing & Optimisation

  • Conduct testing of automation workflows and AI solutions
  • Identify bugs and improvement opportunities
  • Support performance monitoring
  • Ensure solutions meet quality standards

Collaboration

  • Work with business users to identify AI/automation opportunities
  • Gather and document requirements
  • Provide user guidance
  • Participate in meetings and workshops

Documentation

  • Maintain clear documentation for AI/automation workflows
  • Develop user guides and SOPs
  • Support audit documentation

Security & Compliance

  • Ensure solutions align with security policies
  • Support GDPR and regulatory compliance
  • Identify and escalate risks
  • Maintain audit trails

Continuous Learning

  • Pursue training in AI and automation
  • Stay up to date with new technologies
  • Seek feedback and improve skills

Where you'll work

55 Mark Lane
City of London
EC3R 7NE

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

BPP PROFESSIONAL EDUCATION LIMITED

Training course

Artificial intelligence (AI) and automation practitioner (level 4)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents
  • Review, establish, follow and or amend policies and procedures on data and information security.
  • Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters.
  • Undertake analysis to identify if automation is viable. Including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects, such as the impact on job roles.
  • Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented. Adapt approach to support workforce needs when implementing solutions that impacts the workforce.
  • Support with the introduction, adaption, and implementation of change. Contribute to constructive dialogue between leaders and employees about the adoption of AI and automation solutions.
  • Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions including pilots, incremental changes and scaling opportunities.
  • Use automation design tools to suit the organisational context to configure, adapt and implement AI or automation solutions, such as conversational agents, text processing AI, workflow automation platforms and cloud based SaaS or PaaS.
  • Create and refine prompts for AI tools, using iterative testing to achieve accurate and useful outputs.
  • Apply analytical and computational techniques using tools and datasets to design, evaluate, and optimise automation solutions.
  • Integrate AI and automation technologies to collect, process, and manage data effectively, enabling intelligent and efficient system operation.
  • Design, integrate, and test digital workflows and AI automation tools using APIs, connectors, or low-or no-code integration methods.
  • Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs.
  • Identify opportunities to deliver automation. Support leaders in integrating ethical, empathetic approaches when decision-making.
  • Support in the identification and evaluation of opportunities for increased productivity. For example, use of low-or no-code tools, streamlining processes and use of AI platforms.
  • Make evidence based suggestions to support governance, outcomes and facilitate improvement for example cost benefit analysis.
  • Report on productivity and efficiency savings and the opportunities for automation and where applicable when automation does not improve experience or processes.
  • Contribute to sustainable and efficient AI and automation solutions.
  • Support with the delivery of training to technical and non-technical user groups or audiences adapting content and format responding to feedback and organisational context.
  • Contribute to the creation and or adaption of resources such as user guides, training materials, process documents to meet user requirements.
  • Work collaboratively to deploy AI and automation strategies. Support where required to deal with the impact of automation for example retraining, redeployment, or upskilling of affected staff.
  • Undertake data analysis, preparation, and conversion to support automation solutions.
  • Present and communicate information including the translation of technical concepts into accessible materials to support clear dialogue with stakeholders.
  • Work with others to achieve agreed outcomes or outputs. Provide evidence-based analysis and insight to leaders on the likely human impacts of automation projects.
  • Use project management principles, techniques and tools to support the development of clear, balanced communications and briefings, articulating both opportunities and risks.
  • Keep up to date with existing, evolving, emerging technologies and sector trends in AI, automation and technology including methods to evaluate vendor and supplier solutions.
  • Apply ethical and human-centred design principles when scoping, developing, and deploying automation and AI solutions, underpinned by robust governance.
  • Apply technical understanding to help align business needs with technical capabilities, supporting the development of solutions that are scalable, efficient, and aligned with the organisation’s strategic objectives.
  • Undertake assurance activities to evidence responsible AI and automation, including maintaining clear documentation of design and decision-making, contributing to risk assessments, and applying assurance frameworks to support compliance with organisational, regulatory, and ethical standards.
  • Apply algorithmic impact assessment and workforce equality monitoring techniques when scoping, implementing, and reviewing AI and automation projects. Gather and analyse relevant workforce data, identify potential equality risks, and contribute evidence-based recommendations to support fair and inclusive adoption.
  • Review, establish, follow and or amend policies and procedures on data and information security.
  • Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters.
  • Undertake analysis to identify if automation is viable. Including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects, such as the impact on job roles.
  • Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented. Adapt approach to support workforce needs when implementing solutions that impacts the workforce.
  • Support with the introduction, adaption, and implementation of change. Contribute to constructive dialogue between leaders and employees about the adoption of AI and automation solutions.
  • Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions including pilots, incremental changes and scaling opportunities.
  • Use automation design tools to suit the organisational context to configure, adapt and implement AI or automation solutions, such as conversational agents, text processing AI, workflow automation platforms and cloud based SaaS or PaaS.
  • Create and refine prompts for AI tools, using iterative testing to achieve accurate and useful outputs.
  • Apply analytical and computational techniques using tools and datasets to design, evaluate, and optimise automation solutions.
  • Integrate AI and automation technologies to collect, process, and manage data effectively, enabling intelligent and efficient system operation.
  • Design, integrate, and test digital workflows and AI automation tools using APIs, connectors, or low-or no-code integration methods.
  • Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs.
  • Identify opportunities to deliver automation. Support leaders in integrating ethical, empathetic approaches when decision-making.
  • Support in the identification and evaluation of opportunities for increased productivity. For example, use of low-or no-code tools, streamlining processes and use of AI platforms.
  • Make evidence based suggestions to support governance, outcomes and facilitate improvement for example cost benefit analysis.
  • Report on productivity and efficiency savings and the opportunities for automation and where applicable when automation does not improve experience or processes.
  • Contribute to sustainable and efficient AI and automation solutions.
  • Support with the delivery of training to technical and non-technical user groups or audiences adapting content and format responding to feedback and organisational context.
  • Contribute to the creation and or adaption of resources such as user guides, training materials, process documents to meet user requirements.
  • Work collaboratively to deploy AI and automation strategies. Support where required to deal with the impact of automation for example retraining, redeployment, or upskilling of affected staff.
  • Undertake data analysis, preparation, and conversion to support automation solutions.
  • Present and communicate information including the translation of technical concepts into accessible materials to support clear dialogue with stakeholders.
  • Work with others to achieve agreed outcomes or outputs. Provide evidence-based analysis and insight to leaders on the likely human impacts of automation projects.
  • Use project management principles, techniques and tools to support the development of clear, balanced communications and briefings, articulating both opportunities and risks.
  • Keep up to date with existing, evolving, emerging technologies and sector trends in AI, automation and technology including methods to evaluate vendor and supplier solutions.
  • Apply ethical and human-centred design principles when scoping, developing, and deploying automation and AI solutions, underpinned by robust governance.
  • Apply technical understanding to help align business needs with technical capabilities, supporting the development of solutions that are scalable, efficient, and aligned with the organisation’s strategic objectives.
  • Undertake assurance activities to evidence responsible AI and automation, including maintaining clear documentation of design and decision-making, contributing to risk assessments, and applying assurance frameworks to support compliance with organisational, regulatory, and ethical standards.
  • Apply algorithmic impact assessment and workforce equality monitoring techniques when scoping, implementing, and reviewing AI and automation projects. Gather and analyse relevant workforce data, identify potential equality risks, and contribute evidence-based recommendations to support fair and inclusive adoption.

Training schedule

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.

Requirements

Essential qualifications

GCSE in:

English and Maths (grade A*-C/9-4 or equivalent)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • Communication skills
  • Attention to detail
  • Logical
  • Team working
  • Curiosity
  • Eagerness to learn
  • Accountability
  • Resilience
  • Professionalism and integrity

Other requirements

  • Understanding of IT systems and applications (e.g., how business software and workflows operate) will be an advantage
  • Awareness of automation concepts (e.g., workflows, triggers, tasks)
  • Basic familiarity with Microsoft 365 tools (Excel, Teams, SharePoint)
  • Exposure to low-code/no-code platforms (e.g., Power Automate) is beneficial

About this employer

A regulated UK extension of Generali’s Italian headquarters, enabling the Group to operate in the UK market while maintaining centralised governance with local regulatory compliance. Provides a regulated presence in the UK to support: Multinational insurance programmes, Corporate and commercial insurance services, Cross-border EU/UK business coordination.

After this apprenticeship

  • Progress to a permanent role

Ask a question

The contact for this apprenticeship is:

BPP PROFESSIONAL EDUCATION LIMITED

The reference code for this apprenticeship is VAC2000036667.

Apply now

Closes in 30 days (Sunday 12 July 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.