AI Technical Content Developer

Responsibilities

• Create and maintain AI playbook documentation covering all phases of the software delivery lifecycle (SDLC)
• Develop training materials, certification content, and practical guides for core AI tools including Cursor, GitHub Copilot, Claude, and M365 Copilot
• Build hands-on lab content for the AI Champions network, with structured exercises tailored to varying technical skill levels
• Design and deliver onboarding content for new AI Champions, ensuring they are productive from day one
• Establish and maintain documentation standards, templates, and a centralised content library for the CoE
• Collaborate with the AI Engineering lead to document new delivery patterns, automation workflows, and tooling best practices
• Work with the AI Solutions & Internal Adoption lead to create user guides and adoption materials for internal AI solutions
• Review and update all content regularly to reflect tool updates, new capabilities, and lessons learned from delivery
• Contribute to customer-facing enablement materials where appropriate, supporting commercial consulting engagements
• FY26 Objectives
• Deliver complete playbook documentation covering all SDLC phases by end of Q2
• Create comprehensive training materials for 5 core AI tools (Cursor, GitHub Copilot, Claude, M365 Copilot, Copilot Studio)
• Build 10 hands-on labs for Champions enablement, covering beginner to advanced use cases
• Achieve less than 1 week turnaround on documentation requests from engineering and platform leads
• Establish documentation standards and a templates library adopted across the CoE by end of Q1

Requirements

• Required
• 3-6Y of relevant experience in to in technical writing
• Strong technical writing ability with proven experience creating developer-facing documentation, playbooks, or training materials
• Working knowledge of software development practices and the SDLC, sufficient to document AI-assisted delivery workflows
• Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, or similar coding assistants
• Experience creating structured learning content including hands-on labs, tutorials, and step-by-step guides
• Ability to translate complex technical concepts into clear, accessible language for mixed-skill audiences
• Proficiency with documentation platforms and content management tools (Confluence, Notion, Markdown, or equivalent)
• Desirable
• Experience with Microsoft 365 Copilot, Copilot Studio, or Azure AI services from a documentation perspective
• Background in instructional design or learning and development within a technology environment
• Familiarity with DevOps tooling (Jira, Azure DevOps, Git) and CI/CD concepts
• Experience working in an IT consultancy or professional services firm
• Knowledge of AI governance, responsible AI principles, or EU AI Act requirements
• Key Relationships
• AI Enablement & Adoption Lead (direct line manager, content priorities and adoption alignment)
• AI Engineering & Developer Productivity Lead (source of delivery patterns, tooling updates, and playbook content)
• AI Solutions & Internal Adoption Lead (user guides and adoption materials for internal solutions)
• AI Champions network (primary consumers of training and lab content, feedback loop on content quality)
• Practice delivery teams (source of real-world use cases and delivery patterns to document)
• IDC team peers (collaboration on automation documentation, solution guides, and demo content)
• Why Version 1?
• At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.
• Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme
• Flexible/remote working, Version 1 is treme

Benefits

Additional Information

Role Purpose Own the creation and maintenance of all AI training materials, playbooks, hands-on labs, and documentation that power Version 1's adoption programme. This role is the content engine behind the AI Champions network and broader enablement strategy, ensuring every employee has access to clear, practical, and current guidance on AI tools and ways of working. Version 1's AI adoption targets depend on people having the right materials at the right time. The AI Champions network, training programmes, and certification pathways all require a constant flow of high-quality, up-to-date technical content. Without this, adoption stalls and best practices stay siloed. Sitting within the Enablement & Adoption function, the AI Technical Content Developer translates technical capability into practical learning. Working closely with both the Engineering and Solutions leads, this role captures new patterns, tool updates, and delivery lessons and turns them into content that Champions and practitioners can immediately use.

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