Why Work at Lenovo
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 #196 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).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Description and Requirements
Join Lenovo’s Solutions & Services Group (SSG) and help shape enterprise-grade AI solutions that drive real business impact. In this role, you’ll design and deliver end-to-end Generative and Agentic AI systems, working with advanced models (LLMs, SLMs, VLMs) across cloud, on-premise, and edge environments, while ensuring scalability, security, and high engineering standards.
You’ll collaborate with cross-functional teams and stakeholders globally, contributing to solution design, innovation, and pre-sales initiatives. This role reports to the Director, SSG AI Offerings and offers the opportunity to work at the forefront of AI technologies within a dynamic, enterprise-focused environment.
Key Responsibilities:
- Develop Generative and Agentic AI solutions aligned with Lenovo’s strategy and enterprise technical standards
- Design and build end-to-end AI systems, including architectures, inference engines, agents, and user interfaces
- Work with LLMs (Large Language Models), SLMs (Small Language Models), and VLMs (Vision Language Models), leveraging MCP and open-source frameworks
- Integrate AI solutions into existing platforms across cloud, on-premise, and edge environments
- Identify and implement the right AI tools, frameworks, and technologies to improve solution performance and efficiency
- Ensure strong security practices, including data encryption, access control, and vulnerability assessments
- Apply AIOps (Artificial Intelligence for IT Operations) and development best practices across both experimental and production environments
- Support pre-sales activities (RFP/RFI – Request for Proposal / Request for Information), solution design, documentation, and clear communication with technical and non-technical stakeholders
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field
- 5+ years of experience in AI development across domains such as data science, machine learning, NLP (Natural Language Processing), computer vision, or Generative AI
- 2+ years building end-to-end Generative AI solutions, including multi-modal use cases using cloud-based and open-source models (e.g., OpenAI, Anthropic, Llama, Hugging Face, AWS Bedrock)
- Hands-on experience with LLMs (Large Language Models) and AI solution deployment in enterprise environments
- Familiarity with NVIDIA technologies (GPUs, CUDA, TensorRT) and integration of NVIDIA AI Enterprise tools in on-premise setups is a plus
- Strong understanding of cloud and on-premise infrastructure, including containerization and scaling with Kubernetes
- Proven experience with MLOps, LLMOps, or AIOps, and managing CI/CD (Continuous Integration / Continuous Deployment) pipelines using tools like Jenkins or GitLab
- Strong programming skills in Python, React, and scripting languages, with ability to build scalable and production-ready solutions
Benefits:
Compensation & Rewards
- Performance-based salary reviews and annual bonuses
- Meal tickets, service anniversary awards, and referral bonuses
- Employee share purchase program
- Scholarships for employees’ children
Health & Well-being
- Fully covered private medical insurance
- Annual well-being allowance for sports, training, relaxation, and therapy ,and nd on-site chair massage
- Life & accident insurance with extra medical coverage
- Employee Assistance Program
Training & Development
- Technical Ladder & Sales Excellence programs
- Individual Career Development Plans with mentoring
- Bookster subscription for continuous learning
Time Away
- 21–28 vacation days depending on tenure
- Sick days and extra paid leave for public holidays on weekends
- Additional paid leave for employees with children
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.
Additional Locations:
AI PROCESSING NOTICE
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.
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