דרושים Generative Ai Specialist Genai Innovation Center ב-אמזון ב-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
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.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.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.

- 5+ years design and implementation experience with NoSQL technologies and Key-value stores such as ElastiCache, Aerospike, Redis, Memcached, including NoSQL data modeling.
- 3+ years software architecture and development experience using languages such as Java, Python, Go, and Node.js
- - A degree in computer science, software engineering, or mathematics or 10 years equivalent work experience.
- - Knowledge of the underlying infrastructure requirements such as Networking, Storage, and Hardware Optimization.
- - Demonstrated effectiveness working across multiple business units to achieve results.
- - An understanding of computing deployment models as they relate to databases and analytics.
- - Working knowledge of modern software development practices such as agile methodologies and DevOps.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities• Facilitate Working Backwards workshops with customer executive groups. Lead and coordinate translation of those solutions into working cloud prototypes, working with relevant engineering and services teams, and partners where appropriate.
• Build value propositions/ business cases. Train & enable local sales teams to help qualify customers, and – in some cases – lead elements of the digital innovation engagement. Effectively track and articulate the value of engagements underway, and major wins.
• Share knowledge effectively across the WW team. Help develop and improve the Innovation & Transformation engagement model based on engagement experience. Work with the Partner team to identify, engage and enable partners who can accelerate our approach to digital innovation and transformation.
• Conduct customer briefings, present at customer events, further AWS solutions-led thought leadership in the innovation domain.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

- 3+ years of business development, partnership management, or sourcing new business experience
- Bachelor's degree or equivalent
- Experience using data and metrics to determine and drive improvements

- Experience in online advertising or high-tech products/services

岗位职责 (Key Job Responsibilities):
• 参与零售电商企业高层的深入沟通并提供行业战略咨询服务（如云计算、 AI和数据战略规划）以推动行业解决方案的推广。
• 支持业务团队一起开发和维护重要行业客户关系，利用行业Know How和专业技术经验，加速客户的数字化转型及生成式AI转型
• 引领零售电商客户对于新业务/新技术的共创和落地。能力要求 (Key Requirements):
• 12年以上零售或电商行业经验，深入洞察行业发展趋势和解决方案
• 具备组织层面的战略制定经验，能够影响企业客户领导层业务和技术决策
• 跨团队合作协调能力，云技术能力和学习能力
Key job responsibilities
Your responsibilities will include engaging with key industry customers, engaging strategic industry partners, attending and speaking at industry events, leading the process to enable industry CDP/Digital Marketing/Data Analysis solutions, and create significant new business opportunities for AWS. You will enable the AWS BD teams selling to industry accounts to drive their day-to-day interactions with key prospects. You will work closely with AWS Solutions Architects to develop and promote cloud patterns and solutions for CDP/Digital Marketing/Data solution, including partner based solutions etc. You will work closely with the AWS product and services teams to help evolve AWS offerings for more rapid adoption by retail and CPG customers.Roles & Responsibilities:
• Serve as a key member of the Business Development team to drive overall AWS CDP market and technical enablement strategy.
• Define and execute on a strategic market development plan in partnership with key internal stakeholders (e.g. BD teams, SA/ISA Team, product teams, marketing, partner team, legal, support, etc.).
• Identify and engage key customers, and key partners including ISVs and system integrators to drive the adoption of AWS CDP/industry solution.
• Build business development pipeline by engaging with key prospects and partners. •Understand the technical requirements of our customers and work closely with the internal development teams to guide the direction of our SCM offerings for the Manufacturing industry.
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

- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of professional or military experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules

Every day will bring new and exciting challenges on the job while you:- Make recommendations on AI architecture, security, cost optimization, and operational excellence- Complete analysis and present periodic reviews of AI workload performance- Foster an ecosystem where AI and humans progress together through knowledge sharingDiverse 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 degree in Computer Science, Artificial Intelligence, Machine Learning or related technical field
- Deep understanding of Generative AI fundamentals, Large Language Models, and core AI/ML concepts
- Excellent theoretical foundation in AI technologies and their underlying principles
- Excellent empirical reasoning skills with ability to formulate theories, make predictions, validate and refine solutions

- PhD in Computer Science, Artificial Intelligence, Machine Learning or related field
- Demonstrated ability to build systematic knowledge frameworks across technology stacks
- Experience with implementing enterprise-scale AI/ML solutions
- Experience with AWS core services across Compute, Storage, Database, and Networking
- Knowledge of cloud architecture patterns and distributed systems, cloud security principles and compliance frameworks
- Experience with container technologies and serverless architectures, modern software development practices and DevOps
- Excellence in stakeholder management and technical communication

Extracting insights and actionable information from data requires a broad array of technology that can work with data efficiently, scalable, and cost-effectively. With 70+ services offers the most complete platform for Big Data including a comprehensive set of services to handle every step of the analytics process chain including data warehousing, business intelligence, batch processing, stream processing, machine learning, and data workflow orchestration. These services are powerful, flexible, and yet simple to use, enabling organizations to put their raw data to work quickly and easily.As a GTM Specialist, your responsibilities will include deep-diving the services you own, identifying the value proposition in GCR (Great China Region) market, and enabling the account team drive the day-to-day interactions with prospects in order to build long-term business opportunity. You’ll also work closely with product/service teams to help them evolve the products/services and address issues, concerns, and requests from the field.
Key job responsibilities
1) Drive overall market and technical strategy as it relates to AWS Big Data & Analytics services.
6) Work closely with the customer base to ensure they are successful using AWS web services, making sure they have the technical resources required.
7) Understand the technical requirements of our customers and work closely with the internal development teams to guide the direction of our product offerings.
8) Develop long-term strategic partnerships and handle a high volume of engagements and the fast pace of the cloud computing market
9) Experienced with account management (Enterprise, SMB and startup) and solution selling ability.
A day in the life2) Understand product positioning in the market and in front of competitors.
3) design Go-to-Market strategy of the product and track the results with adjustment during execution.
6) Partner Synergy as either sell to/with/through them.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

- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of professional or military experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules