Presales Engineer
Senior pre-sales solutions architect at Orange Business in Shenzhen, advising enterprise clients on Cloud and AI transformation — architecting hybrid infrastructure, GPU-accelerated AI compute (e.g. NVIDIA DGX/HGX) and MLOps solutions, running technical workshops and PoCs, and providing technical governance and mentoring.
- Compensation
- Not disclosed
- Location
- ShenZhen, CN
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Solutions engineering
- Posted
Skills
Must have
- Minimum 3 years' experience in pre-sales, solutions architecture, or technical consulting within enterprise IT
- Proven track record designing and delivering enterprise AI infrastructure solutions and professional services engagements
- Strong knowledge of Cloud & AI architecture and hybrid infrastructure solutions
- Compute & Storage: server architecture and technology
- AI & ML infrastructure: GPU-accelerated compute (NVIDIA DGX/HGX), AI training and inference platforms, MLOps and data pipelines
- Hybrid infrastructure: hyperconverged infrastructure (HCI), software-defined storage (SDS), composable architecture
- Strong understanding of AI and ML solutions with framework familiarity to design solutions per customer business scenarios
- Strong knowledge of GPU computing and GPU server architectures (e.g. NVIDIA) to recommend suitable compute infrastructure
- Familiarity with service management frameworks, technical documentation standards, and vendor tools relevant to solution delivery
Nice to have
- Knowledge of Huawei Accent products
Full description
About us
Join us at Orange Business!We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
About the role
We are looking for an experienced and commercially minded Senior Pre-Sales Solutions Architect to lead our Cloud and AI transformation practice. In this strategic, customer-facing role, you will serve as a trusted technical advisor to enterprise clients, shaping solution direction across compute, storage, hybrid cloud, and AI infrastructure. You will work at the intersection of technology strategy and business outcomes — translating complex technical capabilities into compelling, differentiated propositions.
Key Role Responsibilities
- Architect and propose Cloud and AI transformation solutions tailored to individual customer needs, encompassing infrastructure design, platform selection, and service delivery models
- Engage in pre-sales activities including technical workshops, proof-of-concept scoping, and strategic client meetings to define and validate solution direction
- Promote and position partner technologies (GPU, Cloud) and internal service offerings to maximize customer value and commercial outcomes
- Develop trusted advisor relationships with enterprise stakeholders including C-suite, IT leadership, and procurement teams
- Lead technical governance and quality assurance across solution design and delivery engagements, ensuring alignment to architecture standards and best practices
- Mentor internal teams, contribute to knowledge-sharing initiatives
About you
Experience & Background
- Minimum 3 years' experience in pre-sales, solutions architecture, or technical consulting role within an enterprise IT environment
- Proven track record of designing and delivering enterprise AI infrastructure solutions, and professional services engagements
-
Technical Knowledge
- Strong knowledge of Cloud & AI architecture and hybrid infrastructure solutions, including hands-on familiarity with leading platforms:
- Compute & Storage: Server architecture and technology
- AI & ML Infrastructure: GPU-accelerated compute (NVIDIA DGX/HGX), AI training and inference platforms, MLOps and data pipelines