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Lead, Applied AI & Innovation

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Lead, Applied AI & Innovation in Others new

  • Singapore, Singapore

Responsibilities

  • Design, develop, and deliver agentic AI products for AI-native working and corporate-wide adoption.
  • Architect secure and governed access to corporate documents, data, systems, and institutional knowledge.
  • Own end-to-end technical architecture, including model and platform selection, agent orchestration, evaluation, security, and Lenovo system integration.
  • Write production-quality software and remain hands-on throughout product development.
  • Establish responsible AI, data governance, and evaluation standards that meet IT, security, and compliance requirements.
  • Partner with business, finance, and strategy teams to identify use cases, define success measures, and build business cases.
  • Lead products from pilot and user testing through scaled rollout, change management, and team enablement.
  • Present progress, results, and recommendations to senior leadership.
  • Monitor AI models, platforms, tooling, and regulation; evaluate vendors and inform build-versus-buy decisions.
  • Mentor colleagues, contribute to the innovation roadmap, and prioritize the portfolio.

Requirements

  • 7+ years of professional experience in software engineering, technical product or program management, or AI solutions delivery, including at least 3 years owning or leading technology initiatives.
  • Hands-on experience writing and shipping production software and continuing to code.
  • Recent enterprise AI deployment experience from the last 2–3 years, including at least one solution reaching real users in production.
  • Deep practical expertise in large language models and agentic systems, including agent design, orchestration, retrieval-augmented generation, and systematic evaluation.
  • Strong Python engineering skills and proficiency with at least one major cloud platform: Azure, AWS, or GCP.
  • Experience with APIs, data pipelines, enterprise system integration, security, access control, and data governance for enterprise AI.
  • Experience working with multinational companies and global or regional stakeholders, with fluent English for senior business audiences.
  • Bachelor’s degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.
  • Master’s degree or MBA is advantageous but not required.
  • Strong business judgment, executive communication, structured problem-solving, stakeholder management, and product prioritization skills.

Lenovo

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Guided by its vision of “Smarter Technology for All”, Lenovo is executing a Hybrid AI strategy that spans Personal AI – one personal A...

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