NVIDIA AI Solution Architect

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.