Data & AI Solution Architect - APAC Cloud - #1115677

Responsibilities:

1. Responsible for solution architecture, solution design, and product planning, in Cloud projects and product management.

2. Responsible for the technical side of Cloud projects, including planning, implementation, and management of the process. Includes both pre-sales (demos & POCs) and post-sales (delivery & support).

3. Effectively articulate the value of our Cloud Big Data& AI products and solutions via a keen understanding of competitor product limitations and drawbacks. Able to tailor discussions to stakeholders of varying kinds, levels and cultures across APAC.

4. Deeply understand the challenges and direction of Digital Transformation in various industries, identify key requirements of customers, gain insight into various industry development trends.

5. Gain deep familiarity with the capabilities and competitive advantages of Huawei Cloud EI Products (Big Data and AI). Master the technical aspects of products such as Pros & Cons, ideal use-cases, optimize the data architecture based on different requirements, organize technical POC support, and ensure the feasibility of product solutions.

6. Promote the continuous improvement of Cloud products through product requirement management as the go-between customer-facing colleagues and Product Owners to improve competitiveness.

Who you are:

1. Independent, hands-on, willing to learn, and takes accountability to deliver results.

2. Excellent customer facing skills. Well-developed spoken and written communication skills and the ability to tailor style to relevant audiences, and successfully liaise with people at different levels.

3. Strong communication skills with the ability to collaborate & communicate across teams within the organization.

4. Strong analytical and problem-solving skills, solution driven, highly organized and detail oriented.

Requirements:

1. Minimum Bachelors degree with at 1-3 years experience in the technology industry.

2. Required to travel based on the assigned projects.

3. Hands-on experience with technologies in Data Analytics (such as SQL, Python) or AI/machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).

4. Experience designing cloud platform architectures (AWS, Azure, or Google Cloud).

5. Willingness to travel for project needs.