Hcs Nvidia Ai Consultant

7 days ago


Riyadh, Saudi Arabia Lenovo Full time

**General Information**:

- Req #- 100016397-
- Career area:

- Services-
- Country/Region:

- Saudi Arabia-
- State:

- Riyadh-
- City:

- Riyadh-
- Date:

- Wednesday, November 5, 2025-
- **Additional Locations**:

- Saudi Arabia- **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**:
Take your career to next level
- Join Lenovo and act as a SME and technical lead for AI deployments in enterprise environments with Nvidia GPU powered solutions.
- **
What You will do**:

Deploy and configure AI solutions across enterprise platforms
- Work on a project-based assignment model, ensuring timely and quality delivery.
- Conduct performance benchmarking and inference tests; optimize AI models for accuracy, performance, scalability, and resource efficiency.
- Identify and mitigate risks such as hardware, network, or software issues; develop contingency plans.
- Provide transparent updates, manage scope changes, and address issues with stakeholders.
- Manage deployment of AI workloads using Nvidia AI Enterprise, PyTorch, and TensorFlow; ensure integration with customer infrastructure.
- Lead post-deployment handoff, train client/managed services teams on AI infrastructure operations, troubleshooting, scaling, and optimization.
- Key clients located mostly in Jeddah, Al Khobar, and Riyadh to meet project objectives.Travel frequently (approximately 50%) to client sites or provide remote support as needed.
- **Requirements**:

Proficient in deploying AI solutions across enterprise platforms, including VMware ESXi, Docker, Kubernetes, and Linux (Ubuntu/RHEL) and Windows Server environments.
- Hands on experience in NVIDIA NeMo framework for custom LLM training, fine-tuning (LoRA, QLoRA), RLHF
- Experience with NVIDIA NIM deployment patterns (microservices, multi-model serving, API gateway)
- Knowledge of Agentic AI systems: Multi-agent architectures using LangGraph, CrewAI
- Advanced RAG techniques: Hybrid search, re-ranking, query decomposition, multi-hop reasoning
- Extensive experience with Nvidia AI Enterprise, GPU-accelerated workloads, and AI/ML frameworks such as PyTorch and TensorFlow.
-**
What We offer You**:
An international team with a high focus on Gender Diversity.
- Employee Assistance Program, e.g., for psychological, legal & financial consultancy
- You are joining a company that prioritizes sustainable solutions like CO2 Offset, Asset Recovery Services, and the Lenovo Certified Refurbished portfolio.
- Access to training for personal development. - Internal E-learning Development Platform Available for Employees
- Mentorship program
_We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class._-
- **Additional Locations**:

- Saudi Arabia Saudi Arabia --
- **AI PROCESSING NOTICE**
- We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.



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