General Information Req # WD00083616 Career area: Information Technology Country/Region: Malaysia State: Selangor City: Selangor Darul Ehsan Date: Monday, June 9, 2025 Working time: Full-time Additional Locations:  * Malaysia - Selangor - Selangor Darul Ehsan 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$57 billion revenue global technology powerhouse, ranked #248 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

Job Descriptions:

Build trusted relationships with Sales, C-level executives, and technical decision makers to ensure early engagement in customers’ AI strategy and solution discussions.Represent Lenovo Solutions & Services Group (SSG) during the sales cycle, including project scoping, solution architecting, proposal development, effort sizing and pricing, plus presentation - supporting NVIDIA-based AI stack, Generative AI, and AI infrastructure opportunities.Ensure that customer expectations around AI capabilities, timelines, and outcomes are realistically set and managed.Facilitate GenAI, LLM, and AI strategy discovery workshops to surface business use cases and technical readiness.Lead technical advisory and solutioning efforts in presales, including sizing of infrastructure and services based on NVIDIA’s AI stack, with a warm handover to deliver upon deal closure.Strong capability in both AI solution architecture and presales services estimation (including training, tuning, deployment, and MLOps components).Serve as a technology thought leader and internal evangelist for AI adoption and customer success.Assist in building and leveraging an internal and external partner ecosystem, including NVIDIA, to craft end-to-end AI solutions spanning infrastructure, software, services, and MLOps pipelines.Maintain up-to-date knowledge of AI trends, including NVIDIA AI Enterprise stack, open-source tools, and cloud-native AI/ML platforms.Stay current through certification and enablement in relevant AI technologies (e.g., NVIDIA Certified, Azure/AWS/GCP AI services, MLOps frameworks).Contribute to the development of internal solution capabilities and customer-facing collateral when required.

Responsibilities:

Lead AI discovery sessions and technical/roadmap workshops with clients to understand pain points, use cases, and success criteria.Architect end-to-end AI solutions using NVIDIA’s AI stack (e.g., Base Command, DGX, NeMo, Triton, TensorRT, NGC, RAPIDS, CUDA, AI Enterprise) and supporting technologies (e.g., Kubernetes, Kubeflow, MLFlow).Scope, size, and price AI services—including infrastructure sizing, LLM customization, fine-tuning, inference optimization, and MLOps pipelines.Create solution documentation such as technical write-ups, architecture diagrams, proposal content, and scope of work (SOW).Lead internal Solution Certification processes and ensure compliance with internal presales workflows.Support transition to delivery through a structured and warm handover process.Collaborate closely with offering, delivery, and marketing teams to refine offerings and support go-to-market activities.Act as AI advocate internally and externally, participating in thought leadership, enablement, and customer education sessions.Any other responsibilities allocated by management.

Basic Qualifications:

10+ years of experience in enterprise IT, with at least 3–5 years in AI/ML architecture, data science solutioning, or AI platform engineering.Deep understanding of NVIDIA’s full AI stack and ecosystem, including DGX platforms, AI Enterprise Suite, Base Command, NeMo, Triton Inference Server, and TensorRT.Strong experience in GenAI/LLM concepts, including prompt engineering, fine-tuning, vector databases, inference optimization, and ethical AI governance.Demonstrated experience designing AI pipelines on-premises and in cloud environments (e.g., Azure AI, AWS Sagemaker, GCP Vertex AI).Proven ability to translate business requirements into scalable technical architectures and present to both technical and business stakeholders.Strong experience in pricing and effort estimation of AI services, including hardware sizing and GPU-based workload planning.Hands-on experience with Python-based AI frameworks and orchestration tools (e.g., PyTorch, TensorFlow, Hugging Face, MLFlow, Kubernetes).Excellent communication, documentation, and interpersonal skills across culturally diverse teams.Ability to travel for customer workshops and events as required.

Preferred Qualifications:

NVIDIA Certified AI Specialist or similar AI certifications (Azure AI Engineer, AWS Machine Learning Specialty, etc.).Experience with open-source LLM platforms (e.g., Llama, Mistral, Falcon), vector DBs (e.g., FAISS, Weaviate), and retrieval-augmented generation (RAG).Familiarity with MLOps frameworks and responsible AI practices.Prior experience in AI consulting or AI pre-sales roles with demonstrable deal wins.Knowledge of AI trends and applications across industries (e.g., finance, healthcare, manufacturing).Fluency in English, with additional regional language proficiency in Asia Pacific as an advantage.Strong self-learning aptitude with a proactive and customer-first mindset. Additional Locations:  * Malaysia - Selangor - Selangor Darul Ehsan * Malaysia * Malaysia - Selangor * Malaysia - Selangor - Selangor Darul Ehsan