AI Cloud Solution Architect

Role Overview Drive AI Cloud solution design and deliver scalable cloud and AI solutions that accelerate enterprise transformation and AI adoption. Enable customers to maximize AI value through token optimization and cost-efficient architectures, while collaborating with customers, sales, product, and delivery teams to achieve successful business outcomes. Key Responsibilities • Drive pipeline growth and deal closure for AI cloud opportunities, with a focus on enterprise customers and highly regulated industries;

• Engage CIOs, CTOs, and other senior stakeholders to position Lenovo as a trusted advisor for AI adoption and digital transformation;

• Define deal strategies, value propositions, business outcomes, competitive win themes, pricing approaches, and ROI justification to support solution positioning and deal pursuit;

• Lead the design of scalable, reliable, and enterprise-grade AI cloud solutions across compute, storage, networking, AI infrastructure, platforms, and security;

• Translate customer requirements into end-to-end solution architectures, technical roadmaps, executive proposals, architecture designs, and statements of work;

• Design AI-ready platforms that support AI training, inference, agents, virtual machines, containers, cloud-native applications, and other mission-critical workloads, while ensuring high availability, performance, scalability, and reliability;

• Integrate GPU infrastructure and optimize resource utilization, model deployment, token usage, performance, cost, and ROI to accelerate enterprise AI adoption and deliver measurable business outcomes;

• Design hybrid and multi-cloud architectures that extend AI workloads across private and public cloud environments, enabling workload portability, governance, security, cost optimization, and a seamless developer and user experience;

• Support end-to-end pre-sales and deal execution, ensuring a smooth transition to delivery through validated solution designs, clearly defined scope, and close collaboration with sales and delivery teams;

• Collaborate with product, sales, and delivery teams to shape AI cloud strategy and roadmap priorities, support successful customer implementation, and develop reusable architectures, best practices, solution accelerators, and AI adoption frameworks.

1. 01

   Bachelor degree or above with graduation between September 2026 and August 2027.

2. 02

   Strong understanding of AI cloud architectures, including high availability, scalability, performance optimization, reliability, and enterprise-grade operations.

3. 03

   Nice to have the knowledge of AI infrastructure concepts, including AI workloads, cloud platforms, and GPU-based computing environments.

4. 04

   Understanding of solution architecture, technical consulting, business development, or pre-sales processes, with the ability to align technical solutions to business needs.

5. 05

   Ability to communicate the value of AI solutions through performance improvement, operational resilience, cost efficiency, and business outcomes.

6. 06

   Familiarity with AI workload optimization concepts and emerging AI technologies, including considerations related to resource utilization and cost efficiency.

7. 07

   Strong analytical thinking and problem-solving skills, with the ability to evaluate complex business and technical scenarios.

8. 08

   Excellent communication, presentation, and stakeholder engagement skills, with the ability to explain technical concepts to both technical and non-technical audiences.

9. 09

   Customer-focused mindset with strong consulting and collaboration skills, capable of working effectively with cross-functional teams.

10. 10

    Strong verbal and written English communication skills.

11. 11

    Strategic thinking and business acumen, with the ability to assess opportunities and contribute to long-term business success. *Special Reminder: If applying for this position, please ensure that the attached resume includes an English version. Interview Process: The first two rounds of interviews will be conducted online. Final-round candidates will be invited to Beijing for an onsite event, and travel expenses will be reimbursed.