Presales Engineer

Orange is hiring a Presales Engineer in Shenzhen, China. Level rates it ; you can apply on Orange.

Level's read on this job

Works on AI ●●●○ is how Level rates this sales role: the daily work is on AI products, without building the model.
The posting mentions MLOps among its tools and skills.
Level classes it as a mid-level role.
Orange has 931 other open roles on Level.
Posted in the last few days.

AI in this role

ml-ops

Publication date : Oct 29, 2026, 12:00AM

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.

We are looking for an experienced and commercially minded Senior Pre-Sales Solutions Architect to lead ourCloud 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 proposeCloud 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

Experience & Background

Minimum3years' experience in pre-sales, solutions architecture, or technical consulting role within an enterprise IT environment
Proven track record of designing and delivering enterprise AIinfrastructure solutions, and professional services engagements

Technical Knowledge

Strong knowledge ofCloud & 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
Hybrid Infrastructure: hyperconverged infrastructure (HCI), software-defined storage (SDS), composable architecture
Knowledge of Huawei Accent products will be advantage.
Strong understanding of AI and ML solutions, with familiarity with frameworks, enabling the design of AI solutions based on customer business scenarios.
Strong knowledge of GPU computing and GPU server architectures, including AI training and inference infrastructure built on platforms such as NVIDIA GPUs, with the ability to recommend suitable compute infrastructure for customers.
Familiarity with service management frameworks, technical documentation standards, and vendor tools relevant to solution delivery

You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.

Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
Professional Development: Training programs and upskilling/re-skilling opportunities.
Career Growth: Internal growth and mobility opportunities within Orange.
Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.
Reward Programs: Employee Referral Program, Change Maker Awards.

At Orange, only your skills matter.

Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.
Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.

How we rate this

Presales Engineer at Orange rates 72 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Presales Engineer is an open job at Orange.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in SHENZHEN, CHINA,CHINA.
The job was posted on October 29, 2026.
Seniority: mid.
Applications are handled by Orange. Apply on Orange

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML Ops

Also common in sales jobs at this level

AI agents Generative AI LLM AWS Machine learning Google Cloud

Pay

Typical sales job: $141k

This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: ML Ops. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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