Description Do you like helping customers implement innovative computing solutions and solving technical problems? Do you have experience doing so, on existing cloud platforms? Would you like to add AWS experience to that and join an organization recognized for their expertise across multiple cloud vendors? As an AWS Cloud Intelligence Solutions Architect, you will be a recognized expert in multiple clouds who advises customers on the differences. You will develop cloud migration, modernization and multi-cloud acumen to craft highly scalable, flexible and resilient cloud architectures that solve customer business problems and accelerate the adoption of AWS services. You will understand cloud economics to drive the highest value for our customers and after all your engagements and cloud ecosystem explorations, you will document and share insights to both train the AWS field, and improve product offerings. Ideal candidates have existing cloud development experience and a desire to stay current on new offerings and the latest industry developments. Broad experience in AWS offerings is required, which candidates will have the opportunity to expand by learning the technical depth required to clearly communicate the benefits of AWS services to IT architects, engineering teams, and C-Level executives. They must be able to collaborate with cross-functional teams and think strategically to solve complex business and technical problems. They must have the inclination to share their insights, and educate peers to foster a technical community of SMEs. In addition, candidates must have excellent written and verbal communication skills. Key job responsibilities - Serve as a technical expert in AWS and alternative cloud infrastructure and applications, supporting customers with complex commercial and technical challenges. - Stay up-to-date with service offerings to extract technical and business insights that drive reference architectures, runbooks, blogs, and training content. - Deliver technical and business presentations to internal audiences (field SAs, BDMs, consultants, and product engineering) and external audiences (industry and partner events). - Work with customers and internal teams to create Proof Of Concept (POCs), pilots, and Minimum Viable Products (MVPs) that demonstrate solutions designed for successful deployment and operationalization in the cloud. - Autonomously manage a broad pipeline of technical engagements requiring bias to action, swift delivery, and frequent reprioritization. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications - 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Bachelor's degree or above in a technical or engineering related field, such as Electrical Engineering, Computer Science, etc. - 3+ years of architecture design, implementation, or consulting experience with Chinese cloud providers with track record. - Fluent written and communication skills in both English and Mandarin. - 1+ year of experience in design/implementation/consulting for Machine Learning/Gen AI/Deep Learning solutions with relevant domain knowledge. - Strong problem-solving skills. Demonstrated ability to analyze problems, develop actionable tactical plans quickly, up-level the insights to strategy with translating between business value and technical solutions. Preferred Qualifications - AWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Cloud Technology Certification - Experience in customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies - Be able to perform in-depth technical comparisons between cloud service providers' products. - Track record of implementing cloud solutions in a variety of business environments such as large enterprises and start-ups Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.