

Key job responsibilities- Scaling laws
- Hardware-informed efficient model architecture, low-precision training
- Optimization methods, learning objectives, curriculum design
- Deep learning theories on efficient hyperparameter search and self-supervised learning
- Learning objectives and reinforcement learning methods
- Distributed training methods and solutions
- AI-assisted research
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks, including PyTorch
משרות נוספות שיכולות לעניין אותך

Application deadline: Jan 13, 2026
Key job responsibilities
Responsibilities:
• Managing a team that will consist of PAEs in North America, dedicated to ISV customers.
• Manage bookings, pipeline, revenue, margin and delivery of projects.
• Engage customers - collaborate with PAEs and other sales roles to develop strong customer and partner relationships.
• Develop trusted relationships with customer CIOs, CTOs, IT functional leaders and business sponsor executives.
• Lead the sales of ProServe engagements, and build a growing business for NAMER headquartered ISV customers globally, driving AWS adoption, and customer benefit from AWS services.
• Sell IT transformation engagements - present compelling proposals to help customers develop a modern cloud-based IT operating model, to drive new business results. This includes short on-site projects proving the value of AWS services, on up to full enterprise level transformations across thousands of applications migrating quickly to the AWS cloud.
• Partner ecosystem - establish executive and technical relationships with key integrators (SIs), software vendors (ISVs) and managed services providers (MSPs) who are offering cloud based IT services and solutions. Deliver joint proposals and joint engagements to help partners succeed in large, complex customer engagements using AWS.
• Lead in ISV – Lead the establishment of mechanisms, practices, references, solutions, and communities that support AWS ISV customers. Contribute as part of the Global ISV Americas leadership team.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
- BA/BS degree or equivalent experience; Computer Science or Math background preferred
- 15+ years of relevant enterprise IT sales and delivery oversight experience w/ global F500 ISVs, and with ecosystem / software partners -
- 10+ years of relevant business development and sales experience including innovative agreements w/ integrators, ISVs and managed services providers
- 10+ years of second level management experience of professional services sales teams in high growth technology sales environments; Visible IT
- 10+ years of progressive experience in selling and delivering professional services within the IT marketplace
- 10+ years of understanding of data center, cloud computing, adoption strategy and transition challenges and experience with design of modern, scalable delivery models for technology consulting services
- 15+ years of sales and delivery experience with global F500 enterprise customers and partnersPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
In partnership with Global Account Managers, you will shape and execute a strategy to build mindshare and enable the broad use of AWS within the organization. You exercise good judgement in balancing short-term value with longer-term supportability and are keenly aware of how technological changes might impact your solutions. You are never constrained by the realities of today. You can see areas where AWS and our partners can innovate and work across organizations (both internal and external) to deliver new value to our customers.
About the team
About AWS
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
- 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

Possessing a deep understanding of AWS products and services, as a Senior Data Architect 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.Key job responsibilities
As an experienced technology professional, you will be responsible for:- Deliver on-site technical assessments with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating packaged Data & Analytics service offerings.Diverse Experiences:
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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 experience in cloud architecture and implementation
- 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 5+ Experience delivering cloud projects or cloud based solutions
- Able to communicate effectively in English, within technical and business settings.
- Bachelor's degree in Business, Computer Science, or related field.
- 5+ years of external or internal customer facing, complex and large scale project management experience
- Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Experience with automation and scripting (e.g., Terraform, Python)
- Expertise in performance optimization and cost management for cloud environments
- Ability to manage multiple projects and priorities in a fast-paced environment
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred

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.Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
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.
- 10 + years of strong hands-on experience in technical consulting and experience with at least one Programming language such as Java, Python , C# with solid foundations in OOAD and system design
- Past experience of independently leading a team that delivers working software systems consisting of multiple features spanning the full software lifecycle including design, implementation, testing, deployment, and maintenance strategy.
- Expertise in at least one major cloud platform (AWS, Azure, or Google Cloud), with hands-on experience in designing and deploying cloud-native solutions.
- Knowledge of professional software engineering & best practices for the full software development life cycle, including innovative engineering practices with GenAI and Agentic AI, code reviews, build processes, testing, and operations.
- Experience on building Distributed Cloud Native platforms leveraging various System design patterns including Event Driven Architecture, Rate levelling, Event streaming , CQRS and others.
- Hands-on experience with AI/ML integration, including use of foundational models or building intelligent features.
- Hands-on front-end development experience using modern frameworks such as Angular 6.0+, React, or Vue.js.
- Background in product discovery methods like design thinking or event storming.
- Participation in pre-sales, RFPs, or shaping solution architectures for new client opportunities.

Key job responsibilities- Influence to deliver results
- Look around corners to anticipate and resolve challenges
- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of experience developing strategies that influence leadership decisions at the organizational level
- 5+ years of experience managing programs across cross functional teams

Key job responsibilities
As an AWS Solutions Architect, you will have ownership of the technical relationship with customers, making recommendations on security, cost, performance, reliability, operational efficiency and best-practice architectures.Internally, you will be an advocate acting on behalf of the customer to help drive continual improvements to the AWS platform, sharing their needs and wants to inform the roadmap of AWS features and services. You will also help shape the future of the Solutions Architecture organisation by helping to hire, coach and mentor others.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
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience with presentations and speaking with executives, IT, management, and developers
- Experience architecting and operating in large Enterprise IT environments, including expertise with corporate identity management systems, enterprise authentication frameworks, standard operating procedures (SOPs), IT Service Management (ITSM), change management processes, and enterprise security controls.
- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of software development tools and methodologies
- Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience designing IoT architectures for industrial settings, including expertise with sensor networks, telemetry systems, equipment monitoring platforms, and integration patterns for legacy operational systems.

Key job responsibilities- Scaling laws
- Hardware-informed efficient model architecture, low-precision training
- Optimization methods, learning objectives, curriculum design
- Deep learning theories on efficient hyperparameter search and self-supervised learning
- Learning objectives and reinforcement learning methods
- Distributed training methods and solutions
- AI-assisted research
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks, including PyTorch
משרות נוספות שיכולות לעניין אותך