454 AI & Emerging Technologies jobs in the United Arab Emirates

• Develop and maintain the Digital and AI Design Philosophy and Design Basis in alignment with ADNOC standards.
• Prepare and issue digital design documentation including specifications, data sheets, and functional requirement catalogues.
• Identify and select appropriate digital and AI technologies for implementation.

• Define and implement integration strategies with existing ADNOC systems such as Panorama .
• Ensure seamless integration of various digital solutions into a common user-friendly platform .
• Design plant facilities to accommodate selected digital and AI technologies.

• Identify required IT infrastructure and ensure compliance with:
  • Wireless Infrastructure (AGES-SP-12-003)
  • Wireless Instrumentation System (AGES-SP-04-019)
• Ensure cybersecurity compliance for autonomous operations with Cyber Security Design (CSD) .

• Oversee procurement, installation, testing, and commissioning of digital and AI solutions.
• Prepare and manage detailed implementation schedules including PO placements, FAT/SAT, and site installation timelines.

• Promote adoption of edge computing and autonomous operation programs .
• Interface with AIQ products, RoboWell (AWC), ESP, AR360, Machinery Lab, and Neuron Project.
• Integrate drones and robotics as part of the digitalization scope.

• Ensure adherence to ADNOC's AI P5 Guidelines and instrumentation standards:
  • Wells & Surface Facilities Instrumentation
  • Real-time Data Mapping
  • Domain Data Requirements
  • Collaborative Working Environment
  • Change Management & Communication
  • Telecommunication Infrastructure

• Bachelor's or Master's degree in Engineering, Computer Science, or related field.
• Minimum 8 years of experience in digitalization, AI integration, or smart plant technologies within oil & gas or industrial sectors.
• Proven experience in EPC project environments and multi-disciplinary coordination.
• Strong knowledge of industrial automation, edge computing, and AI platforms.
• Familiarity with ADNOC systems and standards is highly desirable.

• Strong analytical and problem-solving skills.
• Excellent communication and documentation abilities.
• Project management and scheduling expertise.
• Ability to work collaboratively across disciplines and with subcontractors.
• Cybersecurity awareness and data governance understanding.

MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative, and multicultural environment.

Mohamed bin Zayed University of Artificial Intelligence: Academic Affairs Division: Masters in Applied AI

Location

Open Date

Oct 24, 2025

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking passionate and highly motivated faculty members in the field of Artificial Intelligence. Responsibilities include delivering high-quality instruction, mentoring students, contributing to curriculum development, and engaging in interdisciplinary research. Faculty will have opportunities to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.

The Master in Applied Artificial Intelligence (MAAI) program aims to address the skills gap in AI applications within industry, both in the UAE and globally. It combines theoretical knowledge with practical experience, preparing students to implement AI technologies across industry, research, and government sectors.

Aligned with Abu Dhabi’s vision for a knowledge-based economy, the program educates future leaders in AI applications, supporting national strategies and societal development. Its industry-focused, project-based curriculum emphasizes applied and entrepreneurial skills to foster AI innovations with societal, economic, and environmental impacts.

About MBZUAI – A Global Leader in AI Research and Education

Established in 2020, MBZUAI is the world’s first university dedicated solely to AI. It has quickly become a top-ranked AI institution, hosting over 80 faculty members and 330+ graduate students, and ranking among the top 10 AI universities worldwide.

The university plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030. MBZUAI promotes collaboration among academia, industry, and government to drive AI innovation addressing real-world challenges in healthcare, sustainability, and beyond.

Upcoming initiatives include launching undergraduate degree programs next year and expanding Master’s and PhD programs with new specializations in Statistics and Data Science, Computational Biology, and Human-Computer Interaction.

Why Join MBZUAI?

• Top-tier compensation aligned with leading global academic institutions
• Research funding and academic freedom to foster groundbreaking AI advancements
• Exceptional benefits, including relocation support for international faculty
• State-of-the-art research facilities with advanced AI labs and high-performance computing
• Living in Abu Dhabi: a safe city with year-round sunshine, rich culture, and modern amenities
• Opportunities to collaborate with top AI researchers, tech firms, and policymakers

Qualifications

Applicants should hold a PhD in Computer Science or a related field with a strong focus on AI. Candidates must demonstrate excellence in impactful research and show an interest in mentoring students.

Application Instructions

To apply, please submit:

• Curriculum Vitae with key publications and teaching experience
• A statement of teaching philosophy, vision, and interests
• Contact details for three referees (reference letters will be uploaded via Interfolio)

MBZUAI values diversity and is an equal opportunity employer. We actively seek to recruit faculty from around the world to foster an inclusive, multicultural environment.

Join us in shaping the future of AI – apply today at MBZUAI!

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.

Job Description Summary

Job Description

Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!

For over 40 years, GE Aerospace has had a significant presence on the ground in the United Arab Emirates. With offices in Abu Dhabi and Dubai Airport Freezone; an On Wing Support Center; partnership engineering, testing, and Maintenance, Repair, and Overhaul facilities across the country; and the Middle East Technology Center focused on solutions for the region’s hot & harsh environment. In addition to career opportunities, our sites offer a culture focused on respect for people and giving back to the community through grants and philanthropic programming.

Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.

At GE Aerospace Technology & Operations, our customers challenge us to tackle some of the world’s most complex engineering problems that require innovative approach using new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies, like cloud and AI, to unlock new possibilities and shape the future of flight.

• Develop technical solutions for engineers to evaluate and adopt data and AI solutions.
• Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems
• Build and present product architectures, write technical code, and demo applications to stakeholders.
• Gain hands-on experience with the Innovator Method and turn customer insights into solution that deliver real business value
• Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods
• Use your strengths to support team members and build cross-functional relationships across the company.
• Work to ship solutions to production that meet business needs and drive impact.

Our culture thrives on innovation, diversity, and deep collaboration. You’ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.

• Graduate or pursuing a bachelor’s degree in computer science, Aerospace Engineering, Mechanical Engineering or a related field at an accredited university or credentialed software accelerator program.
• Minimum 3.7 cumulative GPA off a 4.0 scale without rounding
• Strong academic performance in Computer Science or other STEM disciplines
• Experience designing AI solutions and architecting distributed data systems
• Proficiency in programming and debugging with Python, C#, C++, and SQL
• Customer-centric mindset with ability to lead design thinking workshops
• Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision
• Experience building solutions using public cloud platforms such as AWS or Azure
• Preferred but not required: AWS and/or Azure certification
• No prior work experience required

• Time: Winter (Full-time) and Spring (Part-time)
• Location: Remote
• Paid Internship
• Travel Opportunities
• Real-world project ownership
• Mentorship from experienced engineers
• Opportunity for return offers

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.

Relocation Assistance Provided: No

Remote position: #LI-Remote

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.

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.