AI Engineering Manager

Lenovo; Hong Kong; On-site; HKD 900,000 - 1,600,000; Full time

Job summary

Lenovo in Hong Kong seeks a hands-on AI leader to design and build agentic AI products for enterprise-scale adoption. You will own the technical direction end-to-end, from architecture to deployment, partnering with business, finance and strategy colleagues.

You will mentor colleagues on AI tools and practices, influence the innovation roadmap, and work across Lenovo's global teams to deliver measurable business outcomes.

Qualifications

• Bachelor's degree or higher in Computer Science, Engineering or related field.
• Hands-on track record: shipped production software today.
• Recent enterprise AI deployment with real users.
• Deep expertise in large language models and agentic systems.
• Strong Python and major cloud platform skills (Azure/AWS/GCP).
• Knowledge of security, access control and data governance in enterprise AI.
• Experience with multinational stakeholders; fluent in English with senior audiences.

Responsibilities

• Build agentic AI products for enterprise-scale adoption across Lenovo.
• Architect access to documents, data, systems with governance and security.
• Ensure production-quality outputs and scale with evolving context.
• Lead technical architecture end-to-end: model selection, orchestration, evaluation.

Skills

Python engineering

Production software

AI deployment

Stakeholder management

Clear communication

Education

Bachelor's degree in Computer Science or Engineering

Master's degree or MBA advantageous

Tools

Azure

AWS

GCP

APIs

Data pipelines

Job description

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

To find out more visit www.lenovo.com and read about the latest news via our StoryHub.

Lenovo's Corporate Strategy team is seeking a hands‑on AI leader to design and build agentic AI products that enable AI-native ways of working, first within the strategy team and subsequently across the wider organisation. You will own the technical direction and delivery of these products end to end, from architecture and development through to adoption, working closely with business, finance and strategy colleagues. The role suits an engineer with recent experience deploying AI inside enterprises who combines technical depth with sound business judgement and is measured by what is delivered and used.

About The Team

The Innovation function within Corporate Strategy identifies, tests and scales new ways for Lenovo to create value with AI, from internal productivity and decision tools to new offerings. The team sits with business, finance and strategy professionals and works across Lenovo's business groups and corporate functions.

This role is the team's technical anchor.

Key Responsibilities

Build agentic AI products

• Design, develop and deliver agentic AI products that enable AI-native working for the strategy team, with a clear path to corporate-wide adoption.
• Architect how these products access, organise and apply corporate context (documents, data, systems and institutional knowledge) in a flexible, governed and secure manner.
• Ensure the products generate insightful, decision-grade outputs, and design them to improve and scale as the team's needs and the underlying context grow.
• Own the technical architecture end to end, including model and platform selection, agent orchestration, evaluation, security and integration with Lenovo systems.
• Write production-quality code and remain hands‑on throughout; this is not an oversight role.
• Establish standards for responsible AI, data governance and evaluation so that products satisfy IT, security and compliance requirements.

Drive adoption and business outcomes

• Partner with business, finance and strategy colleagues to identify high-value use cases, define success measures and build the business case.
• Translate between executives and engineers: articulate AI capabilities and limitations clearly, and convert business requirements into technical scope.
• Lead products from pilot through user testing to scaled rollout, including change management and enablement for adopting teams.
• Present progress, results and recommendations to senior leadership.

Shape the AI agenda

• Monitor the AI landscape (models, platforms, tooling and regulation) and advise the team on developments relevant to Lenovo.
• Evaluate and manage vendors, cloud platforms and partners; inform build-versus‑buy decisions.
• Mentor colleagues on AI tools and practices and raise the team's overall technical fluency.
• Contribute to the innovation roadmap and portfolio prioritisation.

Required Experience And Qualifications

• 7+ years of professional experience in software engineering, technical product or program management, or AI solutions delivery, including at least 3 years as the accountable owner or lead of technology initiatives.
• A hands‑on engineering track record: you have written and shipped production software and continue to code today.
• Recent experience (within the last 2–3 years) deploying AI solutions inside an enterprise, with at least one example that reached real users in production.
• Deep practical expertise in large language models and agentic systems, including agent design and orchestration, retrieval‑augmented generation and systematic evaluation.
• Strong Python engineering skills and proficiency with at least one major cloud platform (Azure, AWS or GCP), including APIs, data pipelines and enterprise system integration.
• Working knowledge of the security, access control and data governance requirements of enterprise AI deployment.
• Experience working with multinational companies and global or regional stakeholders; fluent in English with senior business audiences.
• Bachelor's degree in Computer Science, Engineering or a related quantitative field, or equivalent practical experience. A master's degree or MBA is advantageous but not required.

Business And Collaboration Skills

• Business judgement: frames AI initiatives in terms of value and risk, and recognises when not to build.
• Communicates clearly with non‑technical colleagues and senior executives.
• Structured problem‑solving: turns ambiguous business questions into well‑scoped pilots.
• Manages stakeholders across business groups, IT, legal and compliance in a matrixed organisation.
• Product mindset: prioritises by user value, measures adoption and iterates.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.