Nvidia Ai Solution Architect

**General Information**:

- Req #
- WD00087502
- Career area:

- Artificial Intelligence
- Country/Region:

- India
- State:

- Karnataka
- City:

- BANGALORE
- Date:

- Wednesday, August 27, 2025
- Working time:

- Full-time

**Additional Locations**:

- India - Karnātaka - Bangalore
- India - Karnātaka - BANGALORE

**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$69 billion revenue global technology powerhouse, ranked #196 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).

**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 h