Lenovo is Hiring NVidia AI Solution Architect 2025:-
Lenovo is hiring candidates for the role of “NVidia AI Solution Architect“ in the Bangalore location of India. The complete details about NVidia AI Solution Architect Job Openings In Lenovo are given below.
| Company :- | Lenovo |
| Job Role :– | NVidia AI Solution Architect (Presales) |
| Career area :– | Artificial Intelligence |
| Location :- | Bangalore |
| Salary :- | As Per Company Standards |
| Last Date to Apply :– | ASAP |
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.
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.
Job Description:-
- 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.
Lenovo is Hiring NVidia AI Solution Architect 2025 Application Process:-
Interested candidates can apply from the given below link.
Apply Link:- Click Here To Apply
Note:- Only the shortlisted candidates will be notified for the further interview process.
