591 AI & Emerging Technologies jobs in the United Arab Emirates

Sandan is a high-performance AI Automation Consultancy . We design, build, and deploy custom automation systems that actually work . Our clients range from hyper-growth e-commerce brands to complex enterprise teams, all og whom trust us to streamline the workflows that drive revenue, reclaim time, and unlock scale.

To keep pushing those boundaries, we’re looking for genuine A-Team players —people with an owner’s mindset who thrive on innovation and continuous improvement. If you want to grow inside a flexible, people-first culture and help us build the future of AI automation, we’d love to hear from you.

– Design and ship end-to-end automation workflows in n8n (primary)
– Integrate AI services (OpenAI, Claude, Gemini, Cohere, etc.) for classification, extraction, generation, RAG pipelines
– Build tools such as B-roll video taggers , Amazon review sentiment trackers , AI lead-scoring engines, and agent-based integrations
– Occasionally create or tweak lightweight React dashboards/front-ends
– Document clearly, test thoroughly, and deliver on time

– 2 + production-grade projects built in n8n (or similar)
– Strong grasp of REST/GraphQL, webhooks, OAuth, pagination & retries
– Hands-on with at least one major AI API (OpenAI, Anthropic, Google, etc.)
– JavaScript/TypeScript basics; comfortable working with JSON
– Bonus: Make.com, Zapier, Pipedream, Supabase, Firebase, Vercel, LangChain
– Operator mindset: reliable, autonomous, outcome-obsessed
– English B2+

Big Plus:

- Built internal stuff in Retool

– 100 % remote (EMEA ±3 h preferred) or Dubai HQ desk
– Flexible hours, async culture
– Direct impact: you own projects end-to-end
– Option to switch between freelance and full-time contract
– Small team, zero bureaucracy, rapid decision cycles

Sounds like your playground? Apply below.

Sandan is a high-performance AI Automation Consultancy . We design, build, and deploy custom automation systems that actually work . Our clients range from hyper-growth e-commerce brands to complex enterprise teams, all og whom trust us to streamline the workflows that drive revenue, reclaim time, and unlock scale.

To keep pushing those boundaries, we’re looking for genuine A-Team players —people with an owner’s mindset who thrive on innovation and continuous improvement. If you want to grow inside a flexible, people-first culture and help us build the future of AI automation, we’d love to hear from you.

– Design and ship end-to-end automation workflows in n8n (primary)
– Integrate AI services (OpenAI, Claude, Gemini, Cohere, etc.) for classification, extraction, generation, RAG pipelines
– Build tools such as B-roll video taggers , Amazon review sentiment trackers , AI lead-scoring engines, and agent-based integrations
– Occasionally create or tweak lightweight React dashboards/front-ends
– Document clearly, test thoroughly, and deliver on time

– 2 + production-grade projects built in n8n (or similar)
– Strong grasp of REST/GraphQL, webhooks, OAuth, pagination & retries
– Hands-on with at least one major AI API (OpenAI, Anthropic, Google, etc.)
– JavaScript/TypeScript basics; comfortable working with JSON
– Bonus: Make.com, Zapier, Pipedream, Supabase, Firebase, Vercel, LangChain
– Operator mindset: reliable, autonomous, outcome-obsessed
– English B2+

Big Plus:

- Built internal stuff in Retool

– 100 % remote (EMEA ±3 h preferred) or Dubai HQ desk
– Flexible hours, async culture
– Direct impact: you own projects end-to-end
– Option to switch between freelance and full-time contract
– Small team, zero bureaucracy, rapid decision cycles

Sounds like your playground? Apply below.

Job Title: Product Manager – Generative AI Solutions
Location: Lahore / Karachi / Islamabad (Hybrid)
Travel Requirement: Must be flexible to travel to UAE for 2 to 3 months as needed
Experience Required: 8 to 12+ Years
Employment Type: Full-Time

We are looking for an experienced Product Manager with a strong background in Generative AI (GenAI) product development to lead the vision, strategy, and execution of AI-powered solutions. The ideal candidate has experience working closely with engineering, data science, and business teams to bring innovative AI features and platforms to life. This is a hybrid role based in Lahore, Karachi, or Islamabad , with required flexibility to travel to the UAE for short-term (2–3 months) client engagement .

• Define and lead the product vision, roadmap, and success metrics for GenAI-powered solutions.

• Align product direction with market opportunities, customer needs, and business objectives.

• Collaborate with internal teams and clients to gather, prioritize, and define clear product requirements.

• Conduct competitive analysis and stay current on GenAI trends and emerging use cases.

• Partner with engineering, design, and data science teams to ensure seamless development and delivery of GenAI features.

• Facilitate clear communication among stakeholders and ensure alignment across departments.

• Ensure that GenAI solutions offer intuitive, efficient, and responsible user experiences.

• Balance innovation with usability, customer feedback, and performance insights.

• Track product KPIs, user behavior, and engagement metrics to drive continuous improvement.

• Make data-informed decisions and adjust the roadmap based on user and market feedback.

• Act as the primary liaison for internal stakeholders and external clients, especially during UAE-based project phases.

• Communicate product strategy, status, and results clearly to all levels of the organization.

• Collaborate with legal and compliance teams to ensure products align with responsible AI, data privacy, and security standards.

• Bachelor’s or Master’s degree in Business, Computer Science, Product Management, or related field.

• 8 to 12+ years of experience , including hands-on product management of GenAI or AI/ML-powered solutions .

• Strong understanding of Generative AI tools and platforms (LLMs, prompt engineering, RAG, embeddings, etc.).

• Proven track record of launching successful AI-driven products across web or enterprise platforms.

• Strong leadership, communication, and stakeholder management skills.

• Experience working with Agile/Scrum methodologies and tools (e.g., Jira, Confluence).

• Ability to work in a fast-paced, cross-functional, and client-facing environment.

• Hybrid work model – based in Lahore, Karachi, or Islamabad .

• Must be willing to travel to UAE for short-term (2 to 3 months) assignments as per project needs.

Overview

Design, develop, and deploy AI/ML models to solve business problems. Collaborate with cross-functional teams to identify opportunities for AI integration , translate client requirements into scalable AI-powered solutions , and provide consulting expertise on AI strategies, tools, and implementation. Stay up to date with the latest AI/ML frameworks, tools, and industry trends , ensuring solutions are robust, scalable, and aligned with business goals.

• Design, develop, and deploy AI/ML models to solve business problems.
• Collaborate with cross-functional teams to identify opportunities for AI integration .
• Translate client requirements into scalable AI-powered solutions .
• Provide consulting expertise on AI strategies, tools, and implementation.
• Stay up to date with the latest AI/ML frameworks, tools, and industry trends .
• Ensure solutions are robust, scalable, and aligned with business goals.

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field .
• Strong programming skills in Python, R, or similar languages .
• Experience with TensorFlow, PyTorch, Keras, or other AI frameworks .
• Knowledge of cloud platforms (AWS, Azure, GCP) for AI/ML solutions.
• Excellent problem-solving and consulting skills .
• Strong communication and ability to present AI solutions to non-technical stakeholders.

• Opportunity to work on cutting-edge AI projects .
• Collaborative and innovative work environment .
• Career growth and continuous learning opportunities .
• Be part of an international, forward-thinking team .

Lead AI Business Consultant – AI, Consultancy, Digital Transformation, Solution Architecture, Pre-Sales, Enterprise Account, Stakeholder Management, Thought Leader, Abu Dhabi (UAE)

Very Attractive Salary + Excellent Bonus + Benefits

This is a fantastic Lead AI Business Consultant opportunity to work with a leading technology services organisation, driving AI thought leadership and strategic solutions for a key customer.

The Lead AI Business Consultant is an onsite working role, based in Abu Dhabi, UAE, with some flexibility to work remotely.

As a Lead AI Business Consultant, you will be taking ownership of regional strategic AI consultancy practices, supporting pre-sales and solution architecture across key digital transformation projects. Credible pre-sales and solution architecture experience for large enterprise accounts is essential for this role, as well as sound knowledge of AI market developments and technology advancements. The Lead AI Business Consultant will have excellent stakeholder management skills, influential and empathic to customer requirements, with excellent presentation skills. Excellent communication and stakeholder management skills are critical for the Lead AI Business Consultant, as well as leadership and collaborative characteristics.

Key Skills as Lead AI Business Consultant:

• 10+ years’ experience in enterprise-level pre-sales and solution architecture.
• Sound AI software market knowledge.
• Experience in client-side technical consultancy.
• Solution-led attitude.
• Ability to create value in complex technical transformations.

This is an exceptional Lead AI Business Consultant opportunity, with exciting opportunities to drive AI transformation projects for a key global customer.

*PLEASE READ BEFORE APPLYING*

Previous experience in technical Pre-Sales and/or Solution Architecture is essential for this role, with expertise in AI software transformation.

Customer Engineer, AI/ML, Google Cloud (Arabic) Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Riyadh Saudi Arabia; Dubai - United Arab Emirates; Kuwait City, Kuwait; Doha, Qatar .

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with Machine Learning model development and deployment.
• Experience with frameworks for deep learning (e.g., PyTorch, TensorFlow, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Ability to communicate in Arabic fluently to support client relationship management in this region.

• Master's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.
• Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
• Experience in architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in data and information management as it relates to big data trends and issues within businesses.
• Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will use your excellent technical, communication and organizational skills. You will partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply your impact and the impact of the team as a whole.

You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure.
• Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and benchmarking.
• Build repeatable assets to enable other customers and internal teams.
• Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
• Be responsible for business and workload acceleration on AI Infrastructure products and solutions for Google Cloud Platform (GCP).

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.

Dubai, AE

Senior

Salary Range: To be discussed

Summary

Join Tether's global team to pioneer fintech innovations. AI Developer role requires 6+ years in Node.js, AI, databases, and security.

Description

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future?

Overview

Job Title: Senior QA Engineer – AI Platform Testing. Location: Abu Dhabi. Experience: 7+ Years. Company: NorthBay Solutions.

Note: This is a full-time onsite role based in Abu Dhabi, UAE. Candidates must be willing to relocate for long-term client engagements.

NorthBay Solutions is looking for a Senior QA Engineer with strong automation skills to support testing efforts across our AI-driven platforms. In this role, you will ensure the functional accuracy, performance, and quality of features while also contributing to validation of AI model outputs, training data quality, and overall user experience across web and API-based systems.

• Design, write, and execute test cases to validate features, APIs, and end-to-end system integrations.


• Develop and maintain automated test scripts using Java-based frameworks (e.g., Selenium, TestNG, or similar).


• Conduct manual and exploratory testing for AI model outputs and user workflows.


• Validate training datasets, detect anomalies, and evaluate model-generated content.


• Log and track defects with comprehensive documentation using bug tracking tools.


• Collaborate closely with Machine Learning, Development, and Automation teams to define test strategies and acceptance criteria.


• Contribute to regression testing cycles and final release validations.

• 7+ years of professional experience in QA or software testing.


• Proven experience in QA automation using Java.


• Solid understanding of Agile methodologies, QA processes, and test lifecycle management.


• Hands-on experience with test management tools (TestRail, Zephyr) and defect tracking tools (JIRA, Azure DevOps).


• Strong experience with API testing tools such as Postman.


• Excellent analytical skills and attention to detail.

• Exposure to AI/ML concepts, particularly around testing LLM outputs, computer vision, or NLP systems.


• Experience validating training data quality and evaluating model behavior in production environments.

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our solutions enable seamless integration of reserve-backed tokens across blockchains, empowering businesses worldwide. Transparency and trust are at the core of everything we do.

Innovate with Tether

Tether Finance: Our product suite features the trusted stablecoin USDT and digital asset tokenization services.

Tether Power: We promote sustainable Bitcoin mining using eco-friendly practices.

Tether Data: We develop AI and P2P solutions like KEET for secure data sharing.

Tether Education: We democratize digital learning to empower individuals globally.

Tether Evolution: We push technological boundaries to merge innovation with human potential.

Why Join Us?

Our remote, global team is passionate about fintech innovation. If you have excellent English skills and want to contribute to a leading platform, Tether is your place.

Are you ready to be part of the future?

About the job:

As part of our AI model team, you will develop evaluation frameworks for AI models across their lifecycle, focusing on metrics like accuracy, latency, and robustness. You will work on models from resource-efficient to multi-modal architectures, collaborating with cross-functional teams to implement evaluation pipelines and dashboards, setting industry standards for AI model quality.

Responsibilities:

• Develop and deploy evaluation frameworks assessing models during pre-training, post-training, and inference, tracking KPIs such as accuracy, latency, and memory usage.
• Curate datasets and design benchmarks to measure model robustness and improvements.
• Collaborate with product, engineering, and operations teams to align evaluation metrics with business goals, presenting findings via dashboards and reports.
• Analyze evaluation data to identify bottlenecks, proposing optimizations for performance and resource efficiency.
• Conduct experiments to refine evaluation methodologies, staying updated with emerging techniques to enhance model reliability.

Minimum requirements:

• A degree in Computer Science or related field; PhD in NLP, Machine Learning, or similar is preferred, with a strong R&D record.
• Experience designing and evaluating AI models at various stages, proficient in evaluation frameworks assessing accuracy, convergence, and robustness.
• Strong programming skills and experience building scalable evaluation pipelines, familiar with performance metrics like latency, throughput, and memory footprint.
• Ability to conduct iterative experiments, staying current with new techniques to improve benchmarking practices.
• Experience working with cross-functional teams, translating technical insights into actionable recommendations.