AI Workforce Reinvention Architect

Company: Microsoft
Apply for the AI Workforce Reinvention Architect
Location: Reading
Job Description:

Overview

In this role you will lead enterprise-scale AI-enabled workforce reinvention, embedding AI-first ways of working into culture, processes, and performance systems. You’ll translate business outcomes into scalable operating models powered by agents, guiding adoption with HR and technology leaders. You’ll drive continuous, always-on change programs rather than one-off projects, shaping new roles and retraining to ensure lasting impact. This role suits those who want to turn AI experimentation into persistent transformation with measurable value.

Responsibilities

  • Define new ways of working and employee roles based on industry and business outcomes
  • Design and deploy agents and AI systems that scale support for teams
  • Deliver retraining programmes ensuring inclusive adoption
  • Embed AI adoption into performance evaluations and onboarding processes
  • Protect employee privacy and maintain regulatory compliance
  • Design and execute enterprise-scale operating model changes powered by AI
  • Lead AI readiness assessments and literacy plans
  • Establish AI Council and Champion networks to drive grassroots adoption
  • Coordinate adoption framework and cross-functional communications across thousands of users
  • Monitor usage and feedback to sustain momentum and measure long-term impact

Key requirements

  • Master’s or Bachelor’s degree in a related field with several years of experience in technology solutions, architecture, or consulting
  • Experience managing multiple projects or portfolios
  • Experience leading blended, multidisciplinary teams
  • Cross-functional collaboration experience
  • Experience leading change programmes across large user populations
  • Understanding of AI/ML adoption programmes or digital transformation initiatives
  • Hands-on AI fluency and ability to interpret data from AI tools
  • strong stakeholder engagement
  • change leadership
  • communication and collaboration across IT, HR and business units
  • AI/ML adoption programmes
  • agentic workflow concepts
  • operating model design

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Posted: October 22nd, 2026