Senior Generative Ai Strategist Innovation Center jobs at Amazon in United Arab Emirates

We’re looking for Data Scientists to use generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
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.As an early-in-career joiner, you will initially join our A2C (Associate to Consultant) program for intensive training on AWS technology and delivery approach.Emirati nationality is required.
Key job responsibilities
As a Data Scientist, you willDiverse 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 or Master's degree or equivalent experience
- Experience building a range of AI/ML models
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning

Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet
- Prior experience in training and fine-tuning of Large Language Models (LLMs)
- Knowledge of AWS platform and tools

In collaboration with sales, you will drive revenue growth across a set of digital native customers. As a trusted customer advocate, the solutions architect will help organizations understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build a mindshare and broad use of AWS.Key job responsibilitiesA day in the life
- In this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge and make a big impact.
- You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions.
- You will regularly take part in deep-dive education and design exercises to create world-class solutions built on AWS.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 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

- 2-5+ 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

Duties include ensuring consistent deployment of all required security policies and procedures and participate in re-occurring site audits and reviews and testing new security technologies.Must have and demonstrate resilient leadership skills, flexibility to work in dynamic environment, exceptional knowledge of security practices and strong written and verbal communication.
Key job responsibilities
Direct and manage contract guard force to run daily data center operations.Handle site security incidents, escalations or any other security related issues.Provide after-hours on-call management support and participate in emergent, large scale event response when needed.Participate in re-occurring data center security audits and reviews.Executes established compliance processes with AWS policies, standards, guidelines and relevant legal and regulatory requirements.Provides input on, and may develop security methodologies, policies and procedures.Write reports and communicate with management on the status of physical security operations.Oversee new security construction or retrofit projects.Manage the security P&L for assigned site(s), assist management with financial analysis and contribute to financial decisions for security requirements.

Bachelor’s degree or equivalent professional experience in security or related fields; i.e., logistics, transportation, facilities amongst others4+ years of commercial or industrial work experience.Proficiency in Microsoft Office softwareProven ability to work efficiently in a fast-paced environment where numerous systems/applications/software are highly dependentProficient English verbal and written communication skills with attention to detailStrong data-driven decision making and analytical skills

Knowledge of state of the art security technology including access control, alarm & CCTV systems.CPP/PSP Certification preferred but not a must.Experience in managing a contract guard force.

We’re looking for Data Scientists capable of using generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. 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.Emirati national is required.
Key job responsibilities
As a Data Scientist, you will
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

- Bachelor's degree Or Master's degree with several years of experience
- Several years of experience building models for business applications
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet

- PhD or Masters degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
- Practical experience in solving complex problems in an applied environment
- Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX
- Prior experience in training and fine-tuning of Large Language Models (LLMs)
- Knowledge of AWS platform and tools

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completionYou will be able to troubleshoot and solve most infrastructure issues and engage other appropriate solutions groups on more complex problems to drive solutions.Key job responsibilities
SAFETY
- Follow and maintain the highest safety standards and diligently encourage a world-class safety culture. Own the safety initiatives and projects to foster a strong safety culture.DATA CENTER OPERATIONS (DCO)This position involves:
- Diagnosing hardware and network problems followed by physical repairs
- Troubleshooting events within internal Service Level Agreements (SLAs)
- Performing root cause analysis of equipment failures
- Manual handling and lifting of equipment may be required (weight limits in accordance with regulations)
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
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.

You will be accountable for the development of Training Services revenue within key industry segments, including government, public sector, and private sector businesses. You will create strategic plans for these segments, set sales enablement goals, develop strategies, and forecast AWS Training business opportunities. You will collaborate with field teams to build and maintain a pipeline of training opportunities and provide regular forecasts and business reviews to senior management.The ideal candidate will possess a technical background that enables them to drive engagement at both the user and executive levels. You will have excellent communication skills and the ability to articulate compelling value propositions around AWS Training.To succeed in this position, you must be a self-starter who is prepared to Think Big and Dive Deep. You will build and nurture relationships with sales and partner development teams, helping them drive training business. You will conduct sales enablement activities, educating internal teams on AWS Training offerings, how to position them with customers and partners, and keeping them informed on new programs, policies, and procedures.You will work closely with customers to conduct training needs assessments and build detailed training plans and proposals to accelerate customer adoption of AWS Services. You will also build and maintain relationships with customers and partners to ensure flawless execution of training plans.Key job responsibilities
Define and drive the vision to accelerate AWS skills adoption and certification across Saudi Arabia market and the wider MENAT region.
A day in the lifeBy partnering with account managers, marketing teams, and AWS partners, you’ll deliver scalable training programs tailored to customer needs. Regular activities include analyzing performance metrics, refining strategies, and presenting updates to leadership. Whether leading workshops or representing AWS at industry events, you’ll be driven by a passion for enabling customer success and advancing cloud adoption across Saudi Arabia.
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

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.