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AI Workforce Reinvention Architect

Microsoft· Solution Architecture
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Zürich, GenevaCHF 154k - CHF 262.4kFull-timePosted 1w ago

About the role

Role focused on designing and delivering AI-enabled workforce transformation for enterprise customers, embedding AI-first ways of working, and guiding adoption from AI experimentation to AI-native operations across business, technology, and HR functions.

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 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

Skills

Required:Change management and program leadershipAI/ML adoption and digital transformation
Nice to have:AI literacy and adoption frameworks

Benefits

  • Not specified in the description
Last updated Oct 16, 2026. Interested? Apply on the company site.

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