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.
Description and Requirements Single Point of Contact for customer's concerns and issues, business critical events and major incidents for the region till problem resolution. Be the Customer Experience (CX) focal to influence and lean good customer service practices sharing across different service touch points. Build and maintain customer relationship and coordinate with Lenovo support teams and delivery partners in other geographies to support customer. Own and drive teams to ensure services are delivered according to the contractual requirement in the most cost-effective manner. Early identification of customer satisfaction issue and develop Service Improvement Plan to address the issue. Taking ownership of critical incidents, coordinating with resolution parties, and establishing effective communication between stakeholders for post-incident reviews and track open issues till closure. Develop and maintain Account Support Plan, including contents such as customer contact list, customer IT environment (inventory) and configuration, service level objective, key process and operation procedures and etc. Responsible for Relationship customer account satisfaction (CSAT score) Good understanding of all customer dissatisfaction issues, with the ability to analyze and deep dive the root cause, and constantly seek ways to improve the process or systems to minimize occurrences and enhance good experience. Manage the performance of Service Partners and ensure that Service Levels and scope of work are achieved accordingly. Managing SLA and other Key service metrics on weekly / monthly basis Identifies any cost saving opportunities and drives cost saving plans. Drive Cost reduction Key service metrics Required Experience: Bachelor's degree in Computer Science, Engineering, or Business Administration 15+ years experience in service delivery, managing services delivery partners and managing customer satisfaction. At least 3 years experience in working with clients Ability to manage multiple complex customer situations at the same time Excellent interpersonal and communications skills Excellent oral and written English skills Hands on experience on x86 servers, storage, VMware, Linux and Windows servers At least 5 years experience in server & storage maintenance services At least 2 years experience in Account management
Description and Requirements Must have 6-8 years of experience in the ServiceNow platform . Must have hands-on experience with ITSM, CSM, Portals, and Scoped Applications . Must be proficient in integrations (Inbound/Outbound). Must have strong communication skills and experience in client handling . Must be able to mentor junior developers in the team. Must be based in Bengaluru .