AI Workforce Reinvention Architect at Swiftkey

About the role

What will you do at Swiftkey?

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 Implement a structured adoption framework powered by workplace adoption analytics and role-based enablement Coordinate communications, training, and champion efforts across thousands of users 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 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 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. 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 Hands-on AI fluency — confident enough to build alongside the tools, interpret the data they produce, and understand their limits

Which skills does this role require?

Machine LearningA/B Testing

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