sales engineer

senior architect

technical account manager

it support engineer

qs engineer

ai solutions architect

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
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.<br>
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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&rsquo;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.<br>
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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.<br>
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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.<br>
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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.<br>
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Key job responsibilities<br>
<ul><li>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.</li><li>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&rsquo; technology.</li><li>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).</li><li>Evangelize and educate about AWS technology (e.g. workshops, user groups, meetups, public speaking, online videos or conferences).</li><li>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&rsquo; 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.</li></ul><br>
A day in the life<br>
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&rsquo;ll craft highly-scalable, flexible, and resilient cloud architectures that address our customers&rsquo; business problems. As part of our team, you&rsquo;ll have the opportunity to continuously learn and innovate daily.<br>
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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&rsquo;re here to make sure that they can deploy the best, most scalable, and most secure architectures possible &ndash; 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&rsquo;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.<br>
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About the team<br>
Diverse Experiences<br>
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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
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Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
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Work/Life Balance<br>
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&rsquo;s nothing we can&rsquo;t achieve.<br>
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Inclusive Team Culture<br>
Here at AWS, it&rsquo;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.<br>
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Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience with building, validating and deploying GenAI models and applications on cloud infrastructure.</li><li>Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet.</li><li>Knowledge of MLOps tools and workflows for model development, validation, and deployment.</li><li>High level of communicating effectively across internal and external organizations, with both technical and non-technical audiences.</li><li>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</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>UAE Nationals with a family book</li><li>Professional experience architecting/operating solutions built on AWS and/or AWS certification (e.g. AWS Solutions Architect Associate or Professional)</li><li>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.</li><li>Understanding of technical details and techniques used in tuning generative AI foundation models using techniques like RAG, PEFT, RLHF, DPO</li><li>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</li></ul><br>
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Senior Solutions Architect, Generative AI, Startups, AWS

Techies Infotech

<div>  Design, develop, and deploy AI/ML models to solve business problems.  </div> <div> <span> Collaborate with cross-functional teams to identify opportunities for AI integration. </span> </div> <div> <span> Translate client requirements into scalable AI-powered solutions. </span> </div> <div> <span> Provide consulting expertise on AI strategies, tools, and implementation. </span> </div> <div> <span> Stay up to date with the latest AI/ML frameworks, tools, and industry trends. </span> </div> <div> <span> Ensure solutions are robust, scalable, and aligned with business goals. </span> </div> <div> <span> </span> </div> <div> <span> </span> </div> <div> <span> </span> </div> <div> <span> </span> </div> <span> Requirements <ul> <li> <span>Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or related field. </span> </li> <li> <span>Proven experience in AI/ML model development &amp; deployment. </span> </li> <li> <span>Strong programming skills in Python, R, or similar languages. </span> </li> <li> <span>Experience with TensorFlow, PyTorch, Keras, or other AI frameworks. </span> </li> <li> <span>Knowledge of cloud platforms (AWS, Azure, GCP) for AI/ML solutions. </span> </li> <li> <span>Excellent problem-solving and consulting skills. </span> </li> <li> <span> Strong communication and ability to present AI solutions to non-technical stakeholders. </span> </li> <li> <span> </span> </li> </ul> <div> </div> </span> <div> </div>

AI Software Development Consultant

Glow Beauty On Demand

<br>Job Title<br>Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE<br>Job Description<br>Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE<br> <br>Role Summary<br>MetLife Gulf is seeking a talented Data Scientist to join its Data Analytics team, driving innovation and business transformation through advanced analytics and AI solutions. This role is central to MetLife s data-first strategy, helping shape predictive models, optimize decision-making, and elevate customer experience across insurance and financial services.<br> <br>Employment Overview<br>Job Location: Dubai, UAE<br>Industry: Insurance<br>Function: Data Science / Analytics<br>Salary: 25000-32000 monthly (Market estimated)<br>Gender: Any<br>Candidate Nationality: Any<br>Job Type: Full-time (Hybrid)<br> <br>What You ll Do<br> <br>* Lead the design and execution of advanced data science projects, including predictive modeling, AI, and machine learning initiatives<br>* Build and deploy data pipelines, backend models, and scalable analytics solutions<br>* Collaborate with stakeholders to align data projects with strategic objectives<br>* Develop visually impactful dashboards and reports using Power BI<br>* Perform data mining, feature engineering, and statistical analysis for actionable insights<br>* Integrate advanced analytics solutions across business units for pricing, claims, and sales optimization<br>* Mentor and coach team members to enhance analytics and AI capabilities<br>* Drive continuous innovation through experimentation with emerging technologies<br>* Ensure data governance, model validation, and compliance with organizational standards<br> <br>Ideal Profile<br> <br>* Master s degree preferred; Bachelor s in Data Science, Computer Science, or related field<br>* 3+ years of experience in machine learning, deep learning, and predictive analytics<br>* Strong programming skills in Python or R and experience building data pipelines<br>* Expertise in NLP, hypothesis testing, and conceptual modeling<br>* Proficiency in Power BI and knowledge of Alteryx or similar visualization tools<br>* Familiarity with Microsoft Azure or cloud-based environments<br>* Strong storytelling and data visualization skills for non-technical audiences<br>* Business acumen with ability to translate insights into impactful business strategies<br> <br>Why Join Us<br>MetLife offers an inclusive, purpose-driven work culture recognized globally for excellence. Enjoy competitive compensation, hybrid work flexibility, and career growth opportunities in an organization committed to innovation, customer experience, and sustainable business practices.<br> <br><br>

Data Scientist

Ghobash Group

<p><strong>1. Digital Platforms</strong></p> <ul> <li>Oversee the end-to-end development of in-house applications that support business operations and process optimization. Note: these support applications may integrate with core business technologies/applications.</li> <li>Lead the implementation of digital automation solutions using Robotic Process Automation (RPA) and low-code/no-code platforms.</li> <li>Work closely with business units to identify automation opportunities and translate them into scalable digital solutions.</li> <li>Ensure digital platforms are secure, user-centric, and aligned with enterprise architecture and governance standards.</li> <li>Manage cross-functional development teams and external technology partners to deliver high-impact solutions.</li> </ul> <p><strong>2. Data &amp; Analytics</strong></p> <ul> <li>Support the development of a unified data strategy, including data governance, architecture, and lifecycle management.</li> <li>Oversee the group s data lake &amp; warehouse ecosystem, ensuring data integrity and seamless integration with data source systems.</li> <li>Drive the adoption of business intelligence tools and self-service analytics across group companies.</li> <li>Collaborate with stakeholders to define KPIs and build dashboards that enable data-driven decision-making.</li> <li>Manage the data science team to ensure data quality, consistency, and accessibility across platforms.</li> <li>Develop a roadmap for the introduction of AI into business intelligence tools</li> </ul> <p><strong>3. Artificial Intelligence</strong></p> <ul> <li>Develop AI strategies aligned to group/business unit goals, with clear project roadmaps &amp; implementation plans.</li> <li>Identify and lead AI initiatives that enhance operational efficiency, customer experience, and strategic insights.</li> <li>Work with internal teams and external partners to pilot and scale AI solutions (e.g., predictive analytics, agentic AI, etc).</li> <li>Promote responsible AI practices, including model governance and ethical considerations.</li> <li>Stay current with AI trends and assess their relevance to business needs.</li> <li>Drive awareness and education initiatives to increase understanding and adoption of AI solutions across group businesses.</li> </ul>

Senior Manager Digital Platforms, Data and AI

DataRobot

<div><div>Job Description:</div><div></div><div>
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business &mdash; today and in the future.</div><div></div><div>
As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers. You'll be a trusted advisor and hands-on builder, translating complex business challenges into cutting-edge AI solutions that deliver tangible business value.</div><div></div><div>
This is a unique opportunity to design, build, and deploy a wide range of applications&mdash;from powerful predictive models to sophisticated Generative AI agents and chatbots. If you thrive on solving real-world problems and want to work with the latest in AI technology, this role is for you.</div><div></div><div>
This role is based in Dubai, United Arab Emirates.</div><div></div><div>
This is a fully remote position with no requirement to go into an office on a regular basis. There will be travel requirements associated with this position to visit clients onsite up to 25% - 50% of the time.</div><div></div><div><br>
Key Responsibilities:</div><ul><li><div>
Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions.</div></li><li><div>
Build &amp; Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes:</div></li><li><div>
Agentic AI: Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index</div></li><li><div>
Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.</div></li><li><div>
Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.</div></li><li><div>
Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives.</div></li><li><div>
Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.</div></li><li><div>
Communicate &amp; Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives.</div></li></ul><div></div><div><br>
Knowledge, Skills and Abilities:</div><div></div><div>
AI &amp; Machine Learning Expertise:</div><ul><li><div>
Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).</div></li><li><div>
Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,</div></li><li><div>
Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring.</div></li></ul><div></div><div>
Application Development &amp; Operations:</div><ul><li><div>
Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.</div></li><li><div>
Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).</div></li><li><div>
Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.</div></li><li><div>
Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.</div></li><li><div>
Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.</div></li></ul><div></div><div><br>
Requisite Education and Experience / Minimum Qualifications:</div><ul><li><div>
Experience: Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production.</div></li><li><div>
Education: A Master&rsquo;s Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.</div></li><li><div>
Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP).</div></li><li><div>
DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus.</div></li><li><div>
MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.</div></li><li><div>
Fluency in English and Arabic</div></li><li><div>
Willingness to travel onsite with clients up to 40% of the time</div></li></ul><div></div><div><br>
The talent and dedication of our employees are at the core of DataRobot&rsquo;s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees&rsquo; well-being at the core. Here&rsquo;s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!</div><div></div><div>
DataRobot Operating Principles:</div><ul><li>
Wow Our Customers</li><li>
Set High Standards</li><li>
Be Better Than Yesterday</li><li>
Be Rigorous</li><li>
Assume Positive Intent</li><li>
Have the Tough Conversations</li><li>
Be Better Together</li><li>
Debate, Decide, Commit</li><li>
Deliver Results</li><li>
Overcommunicate</li></ul><div><br>
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We&rsquo;d love to have a conversation with you and see if you might be a great fit.</div><div></div><div>
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor&rsquo;s EEO poster and EEO poster supplement for additional information.</div><div></div><div>
All applicant data submitted is handled in accordance with our <div>Applicant Privacy Policy</div>.</div></div>

Senior AI Engineer - Professional Services - UAE

Client of Involved Solutions

<p>Design and implement Generative AI applications across customer service, onboarding, and compliance.</p> <ul> <li>Collaborate with product and engineering teams to integrate LLMs into existing platforms.</li> <li>Build scalable and secure architectures for AI solutions, ensuring data privacy and regulatory alignment.</li> <li>Drive innovation by staying ahead of developments in GenAI and adapting them for business impact.</li> </ul>

Generative AI Specialist

PwC Middle East

<p>We are seeking a GenAI Senior Solution Architect to lead the design, development, and deployment of Generative AI-powered applications. This role will focus on architecting scalable AI solutions for cloud-based and hybrid environments, defining AI adoption strategies and best practices, and collaborating with cross-functional teams to drive AI-driven digital transformation. You will play a pivotal role in integrating cutting-edge AI models into enterprise and government systems, ensuring seamless integration into enterprise systems.</p><p>This role requires expertise in AI architecture, model hosting, MLOps, and full-stack AI application development, with a focus on security, scalability, and performance.</p><p><strong>Roles And Responsibilities:</strong></p><ul><li>Architect and implement Generative AI (GenAI) applications cross functionally and across industries such as government, banking, real estate, and telecommunications.</li><li>Define AI adoption strategies and design scalable AI architectures for both cloud-based and hybrid environments.</li><li>Develop AI-driven automation solutions leveraging CoPilot Studio, Power Automate, and other orchestration tools.</li><li>Build and optimize GenAI frameworks using Retrieval-Augmented Generation (RAG), prompt engineering, and LLM integration.</li><li>Deploy offline and cloud-based LLMs using Nvidia Triton, HuggingFace TGI, vLLM, LiteLLM, and other inference layers.</li><li>Lead full-stack AI application development, ensuring high availability, scalability, and security.</li><li>Collaborate with stakeholders to translate business requirements into AI-enabled solutions.</li><li>Implement MLOps best practices, ensuring efficient model training, deployment, and monitoring.</li><li>Manage CI/CD pipelines, containerization (Docker), and DevOps for AI applications.</li><li>Ensure compliance with AI governance, privacy, and security standards in AI Implementations.</li><li>Provide mentorship and technical leadership to AI engineering teams.</li></ul><p><strong>Required Competencies:</strong></p><ul><li>Ability to lead cross-country/regional engineering teams.</li><li>Strong business acumen, with the ability to translate business needs into scalable and cost effective AI-enables solutions.</li><li>Experience in AI solution lifecycle management from ideation assessment to production deployment.</li><li>Experience in mitigating AI risks following AI governance, ethics, security and compliance standards.</li><li>Strong problem-solving skills and ability to work in a fast-paced environment.</li></ul><p><strong>Required Skills:</strong></p><ul><li>AI expertise: Building RAG models, OpenAI agents, Prompt Engineering, Copilot Studio, Python FastAPI Apps, LangChain, CrewAI</li><li>Proven track record of deploying AI solutions at an enterprise level.</li><li>Ability to build applications and expertise in different technology stacks.</li><li>Expertise in Python, FastAPI, Langchain, Langfuse, LlamaIndex.</li><li>Strong experience with AI model hosting, fine-tuning, and API integration.</li><li>Hands-on experience with Cloud Platforms (Azure, AWS, GCP) for AI/ML workloads.</li><li>Proficiency in MLOps, AI Infrastructure Engineering, and Data Engineering.</li><li>Experience in containerization, CI/CD pipelines, and DevOps practices.</li><li>Deep knowledge in LLM architecture, RAG, and inference optimization.</li><li>Knowledge of data privacy, security and ethical AI governance frameworks.</li><li>Understanding of AI governance frameworks and best practices for ethical AI.</li><li>Experience with full-stack development for AI applications if preferable.</li><li>Strong problem-solving skills and ability to work in a fast-paced environment.</li><li>Experience working with government entities and large enterprises is a plus.</li></ul>

GenAI Solution Architect

Explore 3612+ Ai solutions architect in Dubai this October. Find roles across top companies and apply now to boost your career.