דרושים Sr Specialist Genai ב-אמזון ב-United Arab Emirates

*Travel required approximately every 3 weeks or 20-25% of the time.Key job responsibilities
- Develop comprehensive technical strategies for EV charging controller systems and related product development
- Define and implement connectivity standards for charging infrastructure
- Conduct in-depth analysis of existing charging system architectures to identify performance improvement opportunities- Design technical documentation and present complex architectural solutions to senior managementA day in the life
Your day will be a dynamic blend of technical exploration and collaborative problem-solving. You'll dive deep into hardware specifications, test communication protocols, engage with cross-functional teams, and develop strategic technical roadmaps that drive our EV charging infrastructure forward.

- Experience with Industrial control systems, both hardware and software
- Experience with power management and power monitoring systems
- Experience managing 3P product development
- Experience developing and managing cellular productsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
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.

- Experience developing software code in one or more programming languages (java, python, etc.)
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)

- AWS Experience preferred, with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training

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

- Automating real-world production environments with Infrastructure-as-Code (IaC) tools like CloudFormation, CDK, or Terraform, containerization & orchestration (Docker, Kubernetes) and cloud container services (EKS, ECS, Fargate), IP networking, VPNs, DNS, load balancing, and firewalls.
- Continuous integration/delivery (CI/CD) and corresponding tools (i.e such as AWS Code-family, ArgoCD, Jenkins, Bamboo, TeamCity, GitHub actions, etc...), Linux and/or Windows-based systems administration.
- Software development proficiency in at least one scripting / programming language (i.e. Typescript / Python / Java / C++ / Go), with practical experience in automating tasks, building scripts, and solving problems.
- Proven track record of successful implementation of DevOps practices and culture (think observability, code reviews, source control management, building feedback loops, removing organization silos…).
- Basic understanding of Machine Learning concepts related to model training, deployment, inference, MLOps, etc.

The Sr. Partnerships Manager is a combination of business development and relationship management role, that requires, in-depth understanding of partnership lifecycle management, expertise in contract management and negotiations and exceptional client management and influencing skills. At Amazon Payment Services, this role will be responsible for identifying, onboarding and managing partners and making the voice of partner heard within our organization. Will require to work with all levels up to C-level in the partner organization.Key job responsibilities
- Proactively manage working relationship with existing partners (banks, card scheme, Alternative Payment Methods and Third Party Providers) Looking for a candidate with expertise in the online payment domain, preferably with not less than 5 years experience with Card Network, acquiring bank or Payment Service Provider.
- Ability to negotiate preferential commercial and improve cost of payment with partners.
- Boost merchant’s KYC, banking requirement, onboarding process and turnaround time.
- Setup and conduct workshop and training with associated partners.- Sign up, train and certify third party technical providers to support integrate enterprise merchants.
- Initiate regular review with partners’ channels.
- Propose automation procedures, customizable solutions and substitute manual processes.
- Excellent Arabic / English speaking and communication

- 5+ years of professional or military experience

- Experience with business development, partnership management, or sourcing new business
- Experience structuring and negotiating complex agreements and leading cross-functional groups to orchestrate and successfully complete deals
- Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps

Key job responsibilities
• Accelerate customer adoption by defining and implementing tech domain specific GTM strategies within your assigned accounts and technology domain. Your strategies will leverage AWS Sales and our partner ecosystem.
• Ideate with Line of Business and C-suite leaders, building trust with your deep technical expertise, and following through to help solve their most compelling business problems.
• Act as the front line within your accounts for all specialist customer engagement in your tech domain.
• Create & articulate compelling value propositions that address specific needs of your customers.
• Build and innovate: Co-Develop GTM motions on new product launches and work with product teams on the creation of innovative new services.
• Partner with the world’s biggest system integrators to deliver on customer projects.
A day in the life
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 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

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
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:* Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
* Providing technical guidance and troubleshooting support throughout project delivery
* Collaborating with stakeholders to gather requirements and propose effective migration strategies
* Acting as a trusted advisor to customers on industry trends and emerging technologies
* Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout 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 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.

- 5+ years of experience in cloud architecture, design and implementation of data products leveraging cloud.
- 3+ years of experience in consulting and working with enterprise customers
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ years of experience in designing and implementing Enterprise Data Platforms/Capabilities, Data LakeHouse, Data Lakes and/or Data Warehouse.
- 1+ years of experience in developing Data and AI Governance framework (Responsible AI) and guiding customers on implementing a governance strategy.

Key job responsibilities• Provide advanced technical knowledge to your aligned GTM teams to unblock our customers’ largest and most critical business challenges.
• Along with your extended team, own the technical bar for specialist technical artifacts and standards.
• Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements.
• 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.
• Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.
A day in the life
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

- 7+ years design/implementation/consulting experience of distributed applications.
- 5+ years management of technical, customer facing resources.
- 5+ years of experience with AI/ML or related technology domain.
- 5+ years of hands-on experience with building ML/data pipelines, data engineering, model training, model fine-tuning or similar technologies.
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.