דרושים Senior Deep Learning Architect Genai Innovation Center ב-אמזון ב-United States, New York, New York

· Enjoy working with large, global customers. You will have a passion for educating, training, designing, and building cloud solutions for a diverse and challenging set of enterprise customers.
· Have a strong understanding of large-scale computing solutions.Key job responsibilities
Roles and Responsibilities· Formulate and execute a cloud adoption strategy that delights our customers and builds strong relationships that lead to strategic revenue streams that exceed AWS objectives.
· Become a trusted advisor by gaining deep knowledge of AWS services, design patterns and best practices, and sharing that knowledge with clients, other SAs and the wider AWS builder community.
· Act as the voice of the customer for AWS service teams to enhance the AWS platform
· Work with other SAs to develop reusable solutions to common business and architectural problems.
· Educate customers by leading workshops and hands-on classes to demonstrate how to use AWS services.
· Network and build deep relationships with senior technical individuals within customer organizations to enable them to be cloud advocates.
· Author and contribute to AWS customer-facing publications such as whitepapers, blog posts and open source projects, and speak at public events.
· Help hire, on-board and train new SAs via mentorship and builder programs.
About the team
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the 8 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

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

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities

See our section in Andy Jassy 2020 re:Invent keynoteAs a developer on our team, you’ll own code end-to-end from design to development, and work closely with senior technical leaders within the team and across AWS. You’ll have a sound understanding of computer science fundamentals and practical industry experience, working across the stack with technology involving Front-End technologies like React, open-source libraries, a full-stack code base, MicroServices and more.Diverse Experiences
Amazon 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.Why AWS
Work/Life BalanceMentorship and 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.

- 4+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- 5+ years of front-end developer creating prototypes or wire-frames for enterprise web applications or workflows experience
- Experience developing with MVC/MVM frameworks (e.g. React.JS, AngularJS, Vue)

- Knowledge of web services technologies such as SOAP, HTTP, WSDL, XSD, and REST
- Experience in a broad range of software design approaches and common UX patterns.

Amazon Connect was designed from the ground up to be omnichannel, it provides a seamless experience across voice and chat for your customers and agents leveraging AWS. This is a highly technical position for someone who can dive deep, build complex, AWS-optimized architectures, and help customers accelerate their adoption of AWS services. Your broad responsibilities include: owning the technical engagement and ultimate success around specific implementation projects. You should be as comfortable discussing complex technical details with a room full of engineers as you are briefing an executive audience. In addition, you will engage with other AWS solutions architects, partner and professional services organizations to drive large and highly complex sales opportunities to closure.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. Participate as a leader in AWS technical communities.A day in the life
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 GrowthWe’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

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

- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
- Experience working with end user or developer communities
- Experience managing relationships with SAP customers and partners
- Experience in SAP S/4HANA, SAP Cloud Platform, SAP Cloud ERP and Cloud ERP Private
- Experience in SAP clean core design concepts, including design and build using non-SAP technologies in domains such as Generative / Agentic AI, and data & analytics

Key job responsibilities
- Originating content partner relationships
- Acquiring new channels

- Bachelor's degree
- 5+ years of professional or military experience
- 5+ years of developing, negotiating and executing business agreements experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience in the entertainment industry
- Experience managing partner relationships

- 6+ years of developing, negotiating and executing business agreements experience
- Experience interpreting data and making business recommendations

Key job responsibilities
Design and implement programs that address specific startup and investor needsMeasure program effectiveness and iterate based on feedback and resultsAbout 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

- 10+ years in technology industry focused on startups/venture capital, with technical leadership background preferred
- Experience building and leading high-performing teams in fast-paced environments
- Proven ability to evaluate and guide early-stage and scaling companies
- Demonstrated success developing and executing business initiatives that drive measurable outcomes
- Bachelor’s degree in computer science, Engineering, or related technical field, or equivalent professional experience

- Startup founder, C-level executive, or venture capital investment experience with hands-on understanding of startup challenges and growth dynamics
- Advanced degree (MBA, MS, or PhD) in business, technology, or related field
- Experience leading teams through rapid scaling phases and organizational growth
- Strong analytical and technical assessment skills with ability to evaluate complex requirements and business models
- Commercial acumen in fast-growing technology businesses, including understanding of scaling challenges and go-to-market strategies
- Proven track record identifying, evaluating, and advising on emerging technologies and market trends
- Multi-domain technical expertise across areas such as AI/ML, cybersecurity, data analytics, or infrastructure technologies

Application deadline: Dec 26, 2025You 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 Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
As an Applied Scientist, you will
• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Help customers build their solutions through approaches such as prompt engineering, model selection, training or fine-tuning
• Provide customer and market feedback to product and engineering teams to help define product directionDiverse Experiences
Amazon 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.Why AWS
Work/Life BalanceMentorship and 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.AWS Global Services

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

Key job responsibilities
- Design and implement novel deep learning architectures combining a multitude of modalities, including image, video, and geospatial data.
- Guide technical direction for specific research initiatives, ensuring robust performance in production environments.
- Mentor fellow scientists while maintaining strong individual technical contributions.A day in the life
As a member of the Delivery Foundation Model team, you’ll spend your day on the following:
- Develop and implement novel foundation model architectures, working hands-on with data and our extensive training and evaluation infrastructure
- Guide and support fellow scientists in solving complex technical challenges, from trajectory planning to efficient multi-task learning
- Guide and support fellow engineers in building scalable and reusable infra to support model training, evaluation, and inference- Conduct experiments and prototype new ideas

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience
- 5+ years of building machine learning models or developing algorithms for business application experience
- Proficient with Data, experience with SQL and Spark
- Expert coders comfortable working in production environments using Python, C++ or other languages
- Strong publication record at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL) OR Demonstrated experience in applying machine learning innovation in industry- Experience mentoring junior scientists / engineers.