Apj Executive Engagement Lead Innovation jobs at Amazon in Singapore

The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the- art solutions for never-before-solved problems.As a Deep Learning Architect, you will
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?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

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years of hands on experience with Python to build, train, and evaluate models
- 4+ years of technical client engagement experience

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS

You will work with your global counterparts in both NAMER and EMEA to ensure learnings and initiatives are shared, as appropriate. You will also interface with the APN Program team to contribute to the design/change of existing/new APN programs as well as the AWS Marketplace and Partner Services teams.

- 5+ years of management of technical, enterprise customer facing resources or equivalent experience
- 5+ years of infrastructure architecture, database architecture and networking experience
- Bachelor's degree
- Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.

- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud

But at best, WiFi is like death by a thousand cuts: dead zones, painful setup, embarrassing passwords, equipment that’s a major eyesore. At worst, it's a complete failure -- usually right when you need WiFi most.
The Role:
What you'll do:
- Be the primary quality representative for supplier quality activities
- Perform First Article Inspections (FAI) to make sure samples comply with drawings and specifications prior to production start or after any changes
- Own implementation, validation and continuous monitoring of supplier’s IQC, IPQC and OQC to ensure proper process FMEA, quality control plans, SOPs, SIPs, operator/inspector training, equipment and documentation are implemented and followed
- Determine strategies for continuous improvement in supplier quality and supply chain metrics.
- Manage supplier's corrective actions system (investigation, documentation and implementation of corrective action and the verification of their effectiveness)
- Conduct supplier audits including new supplier selection and regular process/product audits to existing suppliers, and effectively drive findings closures by proposing and implementing necessary CAPA- Take lead process capability assessment, measurement system analysis, MSOP & correlation and SPC implementations at supplier site
- Initialize the review and approval for supplier PPAP
- Contribute to final product release activities in accordance with established procedures, production schedules and gate exit requirements
- Develop and prepare documentation, post reports, drive quality metrics and communication- Track issue and task progresses in JIRA and understand BOM components, layout and drawings with a PLM system (i.e. Arena, Agile, etc.)

- - BS/MS degree in Quality/Electrical/Mechanical Engineering
- - 5+ years of experience in mechanical parts (plastic injection molding/die-casting/stamping/machining), packaging, and AC power supplies.
- - 5+ years of experience in all levels of quality management and lean manufacturing in mechanical, electro-mechanical and electronic supplier manufacturing industries
- - Experience in managing outsourced manufacturing suppliers
- - Experience with industry standards (IEC, UL, ASTM, ANSI, TUV, ISO, IPC, MIL, etc.)
- - In-depth understanding and implementation experiences in APQP, FMEA, SPC & Process capability, MSA, PPAP, DOE, data analysis, hypothesis testing etc.
- - Excellent English communication skills and interactions with suppliers and customers, both written and verbal

- - Ability & willingness to travel as required for up to 50%
- - Certified QMS lead auditor
- - Certified CQE
- - Certified CSSGB or CSSBB
- - Solid experience in SMT, DIP, FATP, FPC/FPCA and surface treatment process
- Effective document/procedure writing, presentation and project management skills

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?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

- PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master’s degree plus 10 years of relevant work experience
- 5+ years of hands on experience with Python to build, train, and evaluate models
- 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing
- 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.
- Scientific publication track record at top-tier AI/ML/NLP conferences or journals

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.AWS Global Services
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
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

- Extensive experience in large-scale software development with proficiency in multiple programming languages (e.g., Java, Python, C++, JavaScript).
- Proven track record in designing and building highly available, resilient, large-scale distributed systems.
- Strong background in software engineering best practices, including code reviews, source control, testing, deployment, and release management.
- Experience with Agile methodologies, DevOps practices, and leading innovation initiatives across teams or customers.

About AWS Utility Computing (UC):
About AWS
About AWS Neuron:
You will join a dynamic team building and applying AI agents to simplify and accelerate customer adoption of Trainium and Inferentia. As a Sr. SDE you will work with external and internal customers to identify the main obstacles and the opportunities to accelerate their adoption of the Neuron technology.Key job responsibilities
- Solve challenging technical problems, often ones not solved before, at every layer of the stack.
- Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
- Build high-quality, highly available, always-on products.
A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:
- Participate in design discussions, code review, and communicate with internal and external stakeholders.- Work in a startup-like development environment, where you’re always working on the most important stuff.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team
- Hands-on technical experience working on the Generative AI space

- Master's degree in computer science or equivalent
- 1+ years in machine learning or other computational modeling environments with an emphasis on building and optimizing models for diverse hardware platforms

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

- PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, or Master’s degree plus 5 years of relevant work experience
- 5+ years of hands on experience with Python to build, train, and evaluate models
- 2+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing
- Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies
- Scientific publication track record at top-tier AI/ML/NLP conferences or journals

- 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.
- Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization
- Track record of building and deploying ML models at scale
- Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)
- Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools
- Hands-on experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts