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.
Tech Stack
Categories
About 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 AI, multiple devices; and Enterprise AI – helping customers turn data into insights and value. This strategy is delivered through the Group’s commitment to world-class innovation and a full-stack AI portfolio, including devices (PCs, workstations, smartphones, tablets, accessories), infrastructure solutions (server, storage, edge, high performance computing and software defined infrastructure), as well as software, solutions, and services. With a global footprint spanning 21 research and development locations in 11 markets, and a global supply chain including more than 30 manufacturing sites across 10 markets, Lenovo is widely recognized for its operational excellence, including ranking #8 in the Gartner Supply Chain Top 25. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). To find out more visit https://www.lenovo.com, and read about the latest news via our StoryHub at https://news.lenovo.com/. To learn more about our career opportunities, visit our careers page at http://jobs.lenovo.com/.