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AI Workforce Reinvention Architect

Microsoft· Solution Architecture
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AustraliaFull-timePosted 1mo ago

About the role

The AI Workforce Reinvention Architect is the on-the-ground expert who works with customers to reinvent the way work gets done by deploying agents and AI to enable and reinforce new patterns, embedding AI-first ways of working into culture, processes, and performance systems, and guiding adoption from AI experimentation to AI-native operations.

Responsibilities

  • 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
  • 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
  • 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
  • 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

Qualifications

  • Master’s Degree in Computer Science, Information Technology, Engineering, or related field AND 6+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR equivalent experience
  • 2+ years managing multiple projects or portfolios
  • 1+ year(s) experience leading blended, multidisciplinary teams
  • 3+ years 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

Skills

Required:Stakeholder managementChange managementAI/ML adoptionOperating model design
Last updated Oct 16, 2026. Interested? Apply on the company site.

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