nVidia AI Solution Architect (Presales) **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 ourStoryHub (https://news.lenovo.com/) . **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