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nVidia AI Solution Architect (Presales)

nVidia AI Solution Architect (Presales)

LenovoSelangor Darul Ehsan, Selangor, Malaysia
18 hari lalu
Penerangan pekerjaan

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 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 Base Command, DGX, NeMo, Triton, TensorRT, NGC, RAPIDS, CUDA, AI Enterprise) and supporting technologies 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 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 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 Llama, Mistral, Falcon), vector DBs 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 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
    • Buat amaran kerja untuk carian ini

    Solution Architect • Selangor Darul Ehsan, Selangor, Malaysia