About the job
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$69 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.
We are creating a new capability in EMEA to accelerate technical presales efficiency through AI augmented workflows. The AI Solutions Architect will design, prototype and implement AI driven agents and automation components to support technical presales activities across the region. This role requires both strong AI engineering skills and a solid understanding of infrastructure solutioning environments.
What You Will Focus On
- Define the AI architecture and roadmap for presales support workflows
- Build agentic systems that automate repetitive technical tasks such as requirement extraction, configuration checks or documentation support
- Develop prototypes, data pipelines, retrieval layers and automation scripts to enable AI reasoning at scale
- Integrate AI components with existing enterprise tools and presales systems
- Analyse current processes and identify opportunities where AI brings measurable impact
- Translate business needs from technical specialists into actionable AI designs
- Create metrics and monitoring for agent performance and continuous improvement
- Collaborate with technical experts, engineering teams and EMEA leadership to scale adoption
- Train internal teams on AI best practices and support change management
What We Are Looking For
- 1–3 years of hands-on experience in software engineering, with practical exposure to applying AI and automation to improve real business workflows
- Practical experience working with LLM-based solutions, such as prompt engineering, basic agent patterns, or retrieval-based QA (RAG), with a clear focus on implementation and iteration rather than model development
- Strong Python skills and experience integrating applications via APIs; ability to work with web services and backend components
- Experience working with structured and unstructured technical content, such as documentation, knowledge bases, or product data, and using it to support automation or decision-making
- Familiarity with enterprise environments, including authentication and authorization concepts (SSO, role-based access), basic logging, and operational considerations
- Ability to translate ambiguous business or technical processes into structured workflows suitable for automation
- Strong communication skills in English and the ability to collaborate effectively across markets, cultures, and functions
Preferred
- Basic understanding of enterprise IT and datacenter solutions (servers, storage, networking, virtualization, HCI/cloud), sufficient to work with presales workflows and technical validation logic, is considered a strong advantage
- Exposure to multi-language or translation workflows, including human-in-the-loop review for quality and risk management
- Experience implementing basic monitoring, metrics, or dashboards to track usage, performance, or service quality
- Experience integrating AI or automation into presales, configuration tools, or technical support workflows
What We Offer
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 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
