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# AI Workforce Reinvention Architect

- **Company:** Microsoft
- **Location:** Reading, UK
- **Salary:** £77,600.0 - £132,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Usage Analysis, Alwayson, Office365, Agentic-AI, Information Technology
- **Published:** October 14, 2026
- **Apply:** https://dejobs.org/x/x/DBA3E7F818534661A253FA7100D4101F/job/

## About the Role

Required/minimum qualifications

 * Master's OR Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND several years of experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR equivalent experience.
 * Solid experience in managing multiple projects or portfolios.
 * Experience leading blended, multidisciplinary teams.

Additional or preferred qualifications

 * Solid experience in managing cross-functional teams
 * Demonstrated success leading change programmes across 5,000+ user populations
 * Experience with AI/ML adoption programmes or digital transformation initiatives
 * Understanding of Microsoft 365 Copilot, AI agents, and agentic workflow concepts
 * Hands-on AI fluency - confident enough to build alongside the tools, interpret the data they produce, and understand their limits

## Description

Workforce Reinvention

 * Define new ways of working and employee roles based on the customer's industry, function, and business outcomes/KPIs
 * Design and deploy agents and AI systems that empower and scale employees and teams to execute
 * Deliver retraining programmes ensuring no employee is left behind
 * Embed AI adoption into performance evaluations and onboarding processes
 * Protect employee privacy to maintain trust and stay on the right side of regulations

Strategic Change Leadership

 * Design and execute comprehensive operating model changes powered by AI with enterprise scale, structured as a continuous, always-on cycle rather than a fixed, one-off sequence
 * Conduct AI/Agent readiness assessments to identify organisational barriers and enablers
 * Develop AI literacy plans that position AI and agents as new ways of working, not tools
 * Establish and lead AI Council and Champion networks to drive grassroots adoption through the informal networks of trusted peers

Adoption Programme Delivery

 * Implement a structured adoption framework powered by workplace adoption analytics and role-based enablement
 * Coordinate communications, training, and champion efforts across thousands of users
 * Drive behavioural change by creating recognition rather than pushing content at them
 * Scale training globally: live sessions, on-demand tutorials, internal support communities

Stakeholder Engagement

 * Facilitate business and technology leadership workshops and roundtables to design for required impact and scale
 * Ensure cross-functional collaboration across IT, HR, operations, and business unit leadership on how work will change and their hands-on role
 * Build trust through responsible experimentation and transparent communication
 * Monitor usage statistics and qualitative feedback, adjusting programmes to maintain momentum, and measure success by whether change persists at 90, 180, and 360 days