23 Generative AI jobs in the United Arab Emirates

Location: Abu Dhabi, UAE (On-site, Full-time)

Experience Required: 8–12+ years

Role Type: Full-Time

About the Role

We are seeking a Senior Scrum Master with 8-12+ years of experience in leading agile teams and driving high-performance delivery. The role is focused on coaching, facilitating, and enabling cross-functional teams to deliver impactful technology solutions. While GenAI/AI project exposure is a plus, the primary responsibility is to ensure agile excellence, continuous improvement, and team success.

Key Responsibilities

• Facilitate all Scrum ceremonies (planning, stand-ups, reviews, retrospectives) and ensure adherence to agile principles.
• Partner with Product Owners to maintain a healthy backlog and improve prioritization.
• Remove impediments quickly, escalating when needed to keep delivery on track.
• Foster a culture of collaboration, accountability, and transparency within the team.
• Track and report agile metrics (velocity, predictability, quality) to drive improvements.
• Coach team members and stakeholders in agile mindset and practices.
• Encourage continuous improvement through retrospectives and actionable follow-ups.
• (Preferred) Support GenAI / AI/ML project teams by aligning sprint planning with unique challenges like data readiness, model training, or infrastructure bottlenecks.

Required Skills & Experience

• 8-12+ years of IT/software delivery experience with at least 5 years as a Scrum Master.
• Strong knowledge of Agile frameworks (Scrum, Kanban, SAFe) and proven success in scaling them.
• Demonstrated ability to improve team velocity, predictability, and overall delivery performance.
• Excellent facilitation, servant leadership, and conflict resolution skills.
• Hands-on with agile tools: JIRA, Azure DevOps, Rally, or similar.
• Strong communication and stakeholder management skills.
• (Preferred) Exposure to GenAI / AI/ML projects and understanding of unique delivery challenges.

Educational Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (required)
• Master’s degree in Business Administration, Project Management, or Technology (preferred).
• Mandatory Certifications:
• Certified Scrum Master (CSM) or PSM II/III
• At least one Agile/Scaled Agile certification (e.g., SAFe, PMI-ACP, ICAgile)

Success Measures

• Consistent improvement in team velocity and predictability.
• Reduction in delivery impediments and blockers.
• Higher team engagement, morale, and retention.
• Alignment of delivery outcomes with business goals.
• Demonstrated continuous improvement across teams and processes.

#J-18808-Ljbffr

Location: Abu Dhabi, UAE (On-site, Full-time)

Experience Required: 8–12+ years

Role Type: Full-Time

About the Role

We are seeking a Senior Scrum Master with 8-12+ years of experience in leading agile teams and driving high-performance delivery. The role is focused on coaching, facilitating, and enabling cross-functional teams to deliver impactful technology solutions. While GenAI/AI project exposure is a plus, the primary responsibility is to ensure agile excellence, continuous improvement, and team success.

Key Responsibilities

• Facilitate all Scrum ceremonies (planning, stand-ups, reviews, retrospectives) and ensure adherence to agile principles.
• Partner with Product Owners to maintain a healthy backlog and improve prioritization.
• Remove impediments quickly, escalating when needed to keep delivery on track.
• Foster a culture of collaboration, accountability, and transparency within the team.
• Track and report agile metrics (velocity, predictability, quality) to drive improvements.
• Coach team members and stakeholders in agile mindset and practices.
• Encourage continuous improvement through retrospectives and actionable follow-ups.
• (Preferred) Support GenAI / AI/ML project teams by aligning sprint planning with unique challenges like data readiness, model training, or infrastructure bottlenecks.

Required Skills & Experience

• 8-12+ years of IT/software delivery experience with at least 5 years as a Scrum Master.
• Strong knowledge of Agile frameworks (Scrum, Kanban, SAFe) and proven success in scaling them.
• Demonstrated ability to improve team velocity, predictability, and overall delivery performance.
• Excellent facilitation, servant leadership, and conflict resolution skills.
• Hands-on with agile tools: JIRA, Azure DevOps, Rally, or similar.
• Strong communication and stakeholder management skills.
• (Preferred) Exposure to GenAI / AI/ML projects and understanding of unique delivery challenges.

Educational Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (required)
• Master’s degree in Business Administration, Project Management, or Technology (preferred).
• Mandatory Certifications:
• Certified Scrum Master (CSM) or PSM II/III
• At least one Agile/Scaled Agile certification (e.g., SAFe, PMI-ACP, ICAgile)

Success Measures

• Consistent improvement in team velocity and predictability.
• Reduction in delivery impediments and blockers.
• Higher team engagement, morale, and retention.
• Alignment of delivery outcomes with business goals.
• Demonstrated continuous improvement across teams and processes.

#J-18808-Ljbffr

Location: Abu Dhabi, UAE (On-site, Full-time)

Experience Required: 8–12+ years

Role Type: Full-Time

About the Role

We are seeking a Senior Scrum Master with 8-12+ years of experience in leading agile teams and driving high-performance delivery. The role is focused on coaching, facilitating, and enabling cross-functional teams to deliver impactful technology solutions. While GenAI/AI project exposure is a plus, the primary responsibility is to ensure agile excellence, continuous improvement, and team success.

Key Responsibilities

• Facilitate all Scrum ceremonies (planning, stand-ups, reviews, retrospectives) and ensure adherence to agile principles.
• Partner with Product Owners to maintain a healthy backlog and improve prioritization.
• Remove impediments quickly, escalating when needed to keep delivery on track.
• Foster a culture of collaboration, accountability, and transparency within the team.
• Track and report agile metrics (velocity, predictability, quality) to drive improvements.
• Coach team members and stakeholders in agile mindset and practices.
• Encourage continuous improvement through retrospectives and actionable follow-ups.
• (Preferred) Support GenAI / AI/ML project teams by aligning sprint planning with unique challenges like data readiness, model training, or infrastructure bottlenecks.

Required Skills & Experience

• 8-12+ years of IT/software delivery experience with at least 5 years as a Scrum Master.
• Strong knowledge of Agile frameworks (Scrum, Kanban, SAFe) and proven success in scaling them.
• Demonstrated ability to improve team velocity, predictability, and overall delivery performance.
• Excellent facilitation, servant leadership, and conflict resolution skills.
• Hands-on with agile tools: JIRA, Azure DevOps, Rally, or similar.
• Strong communication and stakeholder management skills.
• (Preferred) Exposure to GenAI / AI/ML projects and understanding of unique delivery challenges.

Educational Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (required)
• Master’s degree in Business Administration, Project Management, or Technology (preferred).
• Mandatory Certifications:
• Certified Scrum Master (CSM) or PSM II/III
• At least one Agile/Scaled Agile certification (e.g., SAFe, PMI-ACP, ICAgile)

Success Measures

• Consistent improvement in team velocity and predictability.
• Reduction in delivery impediments and blockers.
• Higher team engagement, morale, and retention.
• Alignment of delivery outcomes with business goals.
• Demonstrated continuous improvement across teams and processes.

#J-18808-Ljbffr

Technical Project Manager – Generative AI

Location: Abu Dhabi, UAE (On-site, Full-time)
Experience Required: 8–12+ years
Role Type: Full-Time

About the Role

We are seeking a Technical Project Manager – Generative AI with deep expertise in managing AI/ML-driven projects, particularly in Generative AI solutions . The ideal candidate will bridge the gap between business stakeholders, data scientists, AI engineers, and software teams, ensuring timely and high-quality delivery of AI initiatives. You will oversee project execution, manage cross-functional teams, and drive the implementation of cutting-edge AI-powered solutions for enterprise-scale use cases.

Key Responsibilities

• Lead and manage end-to-end Generative AI projects , from requirements gathering to deployment and adoption.

• Collaborate with stakeholders to define project scope, objectives, timelines, and deliverables.

• Translate business needs into technical project requirements and align with AI/ML teams.

• Oversee solution design and implementation in Generative AI models (LLMs, NLP, multimodal AI) .

• Manage project risks, budgets, and dependencies, ensuring on-time and within-budget delivery .

• Ensure compliance with AI governance, security, and ethical frameworks .

• Drive Agile project management practices , including sprint planning, backlog grooming, and stand-ups.

• Act as the liaison between business, product, data science, and engineering teams .

• Track and report project progress, KPIs, and delivery milestones to leadership.

• Support pre-sales, proposals, and client presentations when required.

Required Skills & Experience

• 8–12+ years of experience in IT project/program management with at least 3–5 years in AI/ML-related projects .

• Proven track record of managing Generative AI, NLP, LLM, or ML projects in enterprise environments.

• Strong understanding of AI/ML lifecycle (model development, training, fine-tuning, deployment, monitoring).

• Experience with cloud platforms (AWS, Azure, GCP) and AI/ML services.

• Familiarity with tools such as LangChain, Hugging Face, OpenAI APIs, vector databases, RAG pipelines is a strong plus.

• Demonstrated experience in Agile/Scrum methodologies, Jira/Confluence .

• Strong leadership, communication, and stakeholder management skills.

• Knowledge of AI governance, data privacy, and ethical AI practices .

• PMP/PRINCE2/Agile certifications preferred.

Educational Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field .

• Certifications in Project Management (PMP, PRINCE2, Agile) .

• AI/ML certifications (AWS, Azure, GCP AI, or equivalent) preferred.

What We Offer

• Opportunity to lead cutting-edge Generative AI projects at enterprise scale.

• Work in a collaborative and innovative environment in Abu Dhabi, UAE .

• Competitive compensation package with benefits.

• Professional development and growth opportunities in AI/ML leadership.

#J-18808-Ljbffr

Technical Project Manager – Generative AI

Location: Abu Dhabi, UAE (On-site, Full-time)
Experience Required: 8–12+ years
Role Type: Full-Time

About the Role

We are seeking a Technical Project Manager – Generative AI with deep expertise in managing AI/ML-driven projects, particularly in Generative AI solutions . The ideal candidate will bridge the gap between business stakeholders, data scientists, AI engineers, and software teams, ensuring timely and high-quality delivery of AI initiatives. You will oversee project execution, manage cross-functional teams, and drive the implementation of cutting-edge AI-powered solutions for enterprise-scale use cases.

Key Responsibilities

• Lead and manage end-to-end Generative AI projects , from requirements gathering to deployment and adoption.

• Collaborate with stakeholders to define project scope, objectives, timelines, and deliverables.

• Translate business needs into technical project requirements and align with AI/ML teams.

• Oversee solution design and implementation in Generative AI models (LLMs, NLP, multimodal AI) .

• Manage project risks, budgets, and dependencies, ensuring on-time and within-budget delivery .

• Ensure compliance with AI governance, security, and ethical frameworks .

• Drive Agile project management practices , including sprint planning, backlog grooming, and stand-ups.

• Act as the liaison between business, product, data science, and engineering teams .

• Track and report project progress, KPIs, and delivery milestones to leadership.

• Support pre-sales, proposals, and client presentations when required.

Required Skills & Experience

• 8–12+ years of experience in IT project/program management with at least 3–5 years in AI/ML-related projects .

• Proven track record of managing Generative AI, NLP, LLM, or ML projects in enterprise environments.

• Strong understanding of AI/ML lifecycle (model development, training, fine-tuning, deployment, monitoring).

• Experience with cloud platforms (AWS, Azure, GCP) and AI/ML services.

• Familiarity with tools such as LangChain, Hugging Face, OpenAI APIs, vector databases, RAG pipelines is a strong plus.

• Demonstrated experience in Agile/Scrum methodologies, Jira/Confluence .

• Strong leadership, communication, and stakeholder management skills.

• Knowledge of AI governance, data privacy, and ethical AI practices .

• PMP/PRINCE2/Agile certifications preferred.

Educational Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field .

• Certifications in Project Management (PMP, PRINCE2, Agile) .

• AI/ML certifications (AWS, Azure, GCP AI, or equivalent) preferred.

What We Offer

• Opportunity to lead cutting-edge Generative AI projects at enterprise scale.

• Work in a collaborative and innovative environment in Abu Dhabi, UAE .

• Competitive compensation package with benefits.

• Professional development and growth opportunities in AI/ML leadership.

#J-18808-Ljbffr

Description
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
Trusted by more startups around the world, AWS makes the power of cloud computing accessible for all by giving founders everywhere access to the same technology that powers the world's largest companies. With experience gained from supporting hundreds of thousands of startups that have come before, we help founders prove that their world-changing ideas are possible, at any stage of growth or level of funding. This is why more startups, and over 80% of unicorns, build on AWS.
Startup Solutions Architects work hand in hand with AWS customers to help them make the most of the Cloud. They are at the crossroads of business and technology and engage with startups of different stages. Supporting the overall technical relationship between customers and AWS, they work to understand the customer's business needs and give prescriptive guidance on how to create business value with technology. Solutions Architects also have broader impact at scale, taking a supporting role in creating and presenting technical content and best practices.
In this role you will get to practice your creativity, linking technology to tangible solutions and educating AWS customers about the art of the possible. You will have the opportunity to refine cloud-native reference architectures for a variety of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will be learning something new from your customers, your peers and your own experiments.
You will be part of a team that is responsible for driving adoption of AWS technologies while bringing differentiated value to customers. This is a team dedicated to Startups, an important and growing subset of customers for AWS. Startups follow unique technology adoption patterns and growth trajectories that distinguish them from traditional businesses, so you will be employing engagement strategies and programs tailored to their business needs and technical preferences.
Key job responsibilities
- As a Solutions Architect, you will work directly with customers to accelerate their challenging projects and recommend best-practice architectures in line with their long-term business outcomes.
- You operate as a trusted advisor for startups. The best interests of the customer will shape the guidance you provide. You work backwards from their priorities and find inventive ways to add value with solutions utilizing AWS and its Partners' technology.
- You capture and share the voice of the customer to influence the roadmap of new features and services for AWS. You use your customer understanding to participate in the creation or updates of technical content and reference architectures (e.g. white papers, code samples, blog posts).
- Evangelize and educate about AWS technology (e.g. workshops, user groups, meetups, public speaking, online videos or conferences).
- To be successful in this role you need to be passionate about startups and cloud architectures. You are a builder with genuine curiosity about how technology can support your customers' business models and objectives. You are a lifetime learner that develops areas of depth in technical domains relevant to your interests and your customer's outcomes. You are prepared to work in a fast-paced environment, where you will be positively challenged and consistently embrace the Amazon Culture.
A day in the life
The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. In a typical week you will meet multiple customers and you will collaborate with them on designing and operating well-architected solutions. You will earn their trust and show them the art of the possible, educating them around the capabilities of AWS. Partnering with internal teams and experts, leveraging a deep knowledge of our tools and products, you'll craft highly-scalable, flexible, and resilient cloud architectures that address our customers' business problems. As part of our team, you'll have the opportunity to continuously learn and innovate daily.
The startup organization at AWS comprises experts from across the global ecosystem, including former founders and CTOs, venture capitalists, angel investors, and mentors who upskill today's founders to navigate challenges and opportunities as they build their business, and our Startup Solutions Architect team is where the magic happens. is dedicated to working with startup companies as they build and scale their businesses. We're here to make sure that they can deploy the best, most scalable, and most secure architectures possible - and that they spend as little time and money as possible doing so. We are a group of technologists with varied backgrounds; from fresh graduates to ex-CTOs, all growing our skills and startup expertise, while working on latest technology use-cases with some of the world's most innovative companies. For Solutions Architect who like to invent, there's no better place to build than on the AWS Startup SA team.
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?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship 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.
Basic Qualifications
- Experience with building, validating and deploying GenAI models and applications on cloud infrastructure.
- Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet.
- Knowledge of MLOps tools and workflows for model development, validation, and deployment.
- High level of communicating effectively across internal and external organizations, with both technical and non-technical audiences.
- Fluent written and verbal communications skills in English (local language is a plus) with demonstrated ability to communicate technical choices to business and technology stakeholders
Preferred Qualifications
- UAE Nationals with a family book
- Professional experience architecting/operating solutions built on AWS and/or AWS certification (e.g. AWS Solutions Architect Associate or Professional)
- Hands-on experience benchmarking and optimizing performance of models on accelerated computing (GPUs, Trainium/Inferentia, TPU and/or AI ASICs) clusters with high-speed networking.
- Understanding of technical details and techniques used in tuning generative AI foundation models using techniques like RAG, PEFT, RLHF, DPO
- Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker, experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Senior Software Engineer, Google Cloud Generative AI Blackbelt
_corporate_fare_ Google _place_ Dubai - United Arab Emirates
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
**Minimum qualifications:**
+ Bachelor's degree in Computer Science, Information Technology, Engineering, a related technical field, or equivalent practical experience.
+ 5 years of experience in software development.
+ Experience programming with Python.
+ Experience with data science or machine learning.
**Preferred qualifications:**
+ 5 years of experience with data structures/algorithms.
+ Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
+ Experience with GenAI, AI Agents, or related technologies.
+ Experience building scalable end to end software architectures that use agentic or GenAI driven capabilities.
+ Understanding of Responsible AI practices.
**About the job**
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Google Cloud Platform Generative AI Blackbelt team helps customers unlock their potential with AI. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes using AI and ML.
Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.
**Responsibilities**
+ Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
+ Provide AI expertise to support the technical relationship with Google's customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
+ Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.
+ Support developers, creators, and enterprises to leverage Google's Generative Language APIs so they can build their own AI products in the future.
+ Travel to customer sites, conferences, and other related events as needed.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Senior Software Engineer, Google Cloud Generative AI Blackbelt

Apply

• Bachelor's degree in Computer Science, Information Technology, Engineering, a related technical field, or equivalent practical experience.
  
• 5 years of experience in software development.
• Experience programming with Python.
• Experience with data science or machine learning.

Preferred qualifications:

• 5 years of experience with data structures/algorithms.
• Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
  
• Experience with GenAI, AI Agents, or related technologies.
• Experience building scalable end to end software architectures that use agentic or GenAI driven capabilities.
• Understanding of Responsible AI practices.
  

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Google Cloud Platform Generative AI Blackbelt team helps customers unlock their potential with AI. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes using AI and ML.

Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.

Responsibilities

• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.
• Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future.
• Travel to customer sites, conferences, and other related events as needed.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

#J-18808-Ljbffr

Description
Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of generative AI to solve business and operational problems and promote innovation in their organization. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. ( generative-ai-innovation-center).
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 will
- Collaborate with AI/ML scientists, engineers, and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges
- Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to Product and Engineering teams to help define product direction
About the team
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train or fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The Generative AI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
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?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 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
Preferred Qualifications
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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.