Solutions Architect - Amazon Web Services Gaming Sa jobs at Amazon in China, Beijing

Key job responsibilities
- As an AIML Specialist Solutions Architect (SA) in AI Infrastructure, you will serve as the Subject Matter Expert (SME) for providing optimal solutions in model training and inference workloads that leverage Amazon Web Services accelerator computing services. As part of the Specialist Solutions Architecture team, you will work closely with other Specialist SAs to enable large-scale customer model workloads and drive the adoption of AWS EC2, EKS, ECS, SageMaker and other computing platform for GenAI practice.
- You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage AI Infrastructure on Amazon Web Services. You will also create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.
- You must have deep technical experience working with technologies related to Large Language Model (LLM), Stable Diffusion and many other SOTA model architectures, from model designing, fine-tuning, distributed training to inference acceleration. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of Nvidia and related technical options, and will leverage this knowledge to help Amazon Web Services customers in their selection process.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.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

- 5+ years of hands-on experience optimizing AI infrastructure, with deep expertise in inference acceleration frameworks (e.g., vLLM, SGLang, TensorRT, etc.), model training and serving systems across PyTorch and TensorFlow ecosystems;
- Advanced proficiency in Nvidia GPU performance optimization techniques, including memory management, kernel fusion, and quantization strategies for large-scale deep learning workloads;
- Strong foundation in parallel computing principles with practical CUDA programming experience, emphasizing efficient resource utilization and throughput maximization;
- Demonstrated success implementing and tuning distributed AI systems leveraging modern frameworks like Megatron-LM and Ray, with particular focus on LLM deployment and horizontal scaling across GPU clusters.

Key job responsibilities
In this technical role, you will be developing the emerging Independent Software Vendors (ISVs) categorized in AI, Data, Business Application, Infra. You will co-build/co-market/co-sell with ISVs.You daily routine includes:Engaging the Partner's Technology, Sales & Marketing leaders to determine the best approach to co-build/co-sell/co-market.
Uplifting partner capability through workshops, player-coach.
Accelerating partner opportunities through architecture design/review, PoC, technical resolution.
Modernizing their architecture with AWS
Packaging and promoting partner solution.
Co-marketing their offering through Public Speaking/Blog/Workshop etc
Partnering with the counterparts the PDMs (Partner Development Manager) in Partner development planing, execution and reviews.
A day in the life
- Co-build solution with partner, so the solution could run on, could differentiate on AWS- C-market ISV solution through creating solution offering, advocating the solution through public speaking, workshops etcAbout the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.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

- 6+ years of IT development or implementation/consulting in the software or Internet industries experience
- 4+ years of design, implementation, or consulting in applications and infrastructures experience
- Knowledge of cloud architecture

Key job responsibilities
Your broad responsibilities will include: owning the technical engagement and ultimate success around specific implementation projects, and developing a deep expertise in the AWS technologies as well as broad know-how around how applications and services are constructed using the AWS platform.A day in the life
• Serve as a key technical member of the Business Development team in helping to ensure customer success in building applications and services on
the AWS platform.
• Scope each customer engagement, with attention to clear and well-defined objectives and success criteria.
• Own each technical engagement, and help ensure a timely and successful delivery of value. (Delivery of actual solutions to be done by AWS partners.)
• Capture and share best-practice knowledge amongst the solution architect community.
• Understand the AWS market segments, customer base, and industry verticals.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.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

- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 5+ years of design, implementation, or consulting in applications and infrastructures experience
- 5+ years of IT development or implementation/consulting in the software or Internet industries experience

Key job responsibilities
1. Generative AI Model Development:
-Design and develop generative AI models, including language models, image generation models, and multimodal models.
-Explore and implement advanced techniques in areas such as transformer architectures, attention mechanisms, and self-supervised learning.
-Conduct research and stay up-to-date with the latest advancements in the field of generative AI.2. Data Acquisition and Preprocessing:
-Identify and acquire relevant data sources for training generative AI models.
-Develop robust data preprocessing pipelines, ensuring data quality, cleanliness, and compliance with ethical and regulatory standards.
-Implement techniques for data augmentation, denoising, and domain adaptation to enhance model performance.3. Model Training and Optimization:
-Design and implement efficient training pipelines for large-scale generative AI models.
-Leverage distributed computing resources, such as GPUs and cloud platforms, for efficient model training.
-Optimize model architectures, hyperparameters, and training strategies to achieve superior performance and generalization.4. Model Evaluation and Deployment:
-Develop comprehensive evaluation metrics and frameworks to assess the performance, safety, and bias of generative AI models.
5. Collaboration and Knowledge Sharing:-Contribute to the firm's thought leadership by presenting at conferences, and participating in industry events.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.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

- Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- 4+ years of experience in developing and deploying machine learning models, with a strong focus on generative AI techniques.
- Proficiency in programming languages such as Python, PyTorch, or TensorFlow, and experience with deep learning frameworks.
- Strong background in natural language processing, computer vision, or multimodal learning.
- Ability to communicate technical concepts to both technical and non-technical audiences.

- Experience with large language models, such as Claude, GPT, BERT, or T5.
- Familiarity with reinforcement learning techniques and their applications in generative AI.
- Understanding of ethical AI principles, bias mitigation techniques, and responsible AI practices.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Apache Spark, Dask).
- Strong problem-solving, analytical, and critical thinking skills.
- Strong communication, collaboration, and leadership skills.

Key job responsibilities
Your superior communication, organizational and technical skills will enable you to operate in a fast-moving and sometimes ambiguous environment, where you will have the autonomy to take full control and responsibility for achieving our business objectives.- Partner/Channel development and management .

- Bachelor's degree or equivalent, or 3+ years of sales or marketing work (like e-commerce, retail technology, SaaS) or equivalent experience

- 2+ years of inside sales experience
- Knowledge of procurement and source to pay methods at small and medium businesses
- Experience influencing at all levels within an organization, particularly at the executive level
- Experience exceeding sales targets using a consultative, solutions-focused approach or equivalent

You will learn all about how to design, implement and test highly scalable solutions using AWS cloud platform and its many products, in challenging agile projects, working with best-in-class professionals.

- Past experience in being a technical leader and have previous track record in delivering large scale solutions in a very ambiguous environment
- Ability to understand and evaluate critical applications from end-to-end and evaluate high level and low-level design
- Experience mentoring and training the engineering community on complex technical issues
- Active contributor on teams technical strategy and account for technical tradeoffs that can impact existing applications as well as other applications within Amazon
- 8+ years of software development experience
- Proficiency in at least one of the following programming languages: C, C++, C#, Java, Python, Golang, Kotlin, JavaScript, Clojure.
- System Design experience with event-driven and microservices architecture
- Proficiency in spoken and written English

- Experience building complex software systems that have been successfully delivered to customers
- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet timelines with optimal solutions
- A high degree of pragmatism in building the simplest thing that does the job; we want to use technology to solve real-world problems expediently, not indulge in over-designed, unnecessarily intricate software architecture.
- A good understanding of Software Development Life-cycle models and a track record of shipping software efficiently. You recognize the difference between building software and shipping software
- A strong track record of large and cross-functional project deliveries.
- Sharp analytical abilities and proven system design skills
- Bachelor’s degree in Computer Science, Computer Engineering or a related technical discipline OR Master’s degree in computer science, Math or Physics or related field

As a Construction Project Manager you will be a part of a creative, efficient team tasked with tackling fascinating and challenging problems building and supporting the operations of Amazon data centers. Our data centers are industry leading examples of energy efficient, cost effective designs.The Construction Project Manager is responsible for the management of General Contractors on one or more data center construction sites, including oversight and review of all disciplines including civil, structural, architectural electrical, mechanical, controls and commissioning.The Project Manager is also responsible for managing the administration of construction contracts and/or development contracts ensuring full compliance including all commercial elements.Key job responsibilities
Be based from the site construction offices / office siteTravel to other data centers, Amazon offices or vendor premises as required to support the current project or undertake training. Opportunities may also exist for international travel.Manage General Contractors on one or more data center construction sites, including oversight and review of all disciplines including civil, structural, architectural electrical, mechanical, controls and commissioning.Undertake strategic and tactical commercial management of construction contracts, including managing the commercial administration of contracts to ensure compliance.Work with general contractors, developers and vendors to deliver efficient and high-quality project turn-overs.Inspect and review construction work including site safety, project quality control, support of the commissioning process and review of submittals and other project documents for compliance with contract documents.Review civil, electrical and mechanical designs to create construction project scope for requests for proposal and variations.Support negotiations with general contractors and internal procurement partners and evaluate bids/proposals/claims with detail and accuracy.Record and report key construction/commercial metrics, including internal schedule, cost and budget reporting and forecasting.Lead on analysis and resolution of claims and major variations.A day in the life
About the team
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.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.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

- 4+ years in construction site management.
- 2+ years responsibility for management of construction contracts and contractors, including involvement in commercial contract administration and cost control processes of large, complex projects.
- 2+ years’ experience in construction of and interface with live operational/mission critical facilities e.g. data centers energy plants, industrial facilities, infrastructure projects.
- Ability to operate in a working environment conducted through English.

- 6+ years in construction site management and construction of and interface with live operational/mission critical facilities e.g. data centers energy plants, industrial facilities, infrastructure projects.
- Bachelor's degree in Construction Project Management, Architecture, Engineering, related field or equivalent trade certification and/or professional certification, such as CCM (certified construction manager), AC (associate constructor), or CPC (certified professional constructor)
- Knowledge of best practice industry safety, quality standards and local safety regulations with experience performing the role of a client within those regulations.
- Understanding of either Electrical engineering principles for transformer/switchgear systems & experience of managing or interfacing with installation of major electrical equipment and/or of Mechanical engineering principles for cooling/ventilation systems & experience of managing or interfacing with installation of major mechanical equipment.
- Understanding of Civil engineering principles for sitework and construction of steel/concrete structures and experience of managing or interfacing with concrete pours and pre-cast structure erection.
- Ability to earn trust and develop relationships through knowledge of local language
- Demonstrated experience writing in a data driven persuasive way which influences decisions