111 AI Engineering jobs in the United Arab Emirates

Press Tab to Move to Skip to Content Link

Job Description: AI Engineering Manager - AI Hub

We’re looking for an AI Engineering Manager to join our AI Hub in Dubai. This is a hands-on leadership role where you’ll build AI and Generative AI prototypes (POCs, MVPs) and lead a team of engineers to bring ideas to life. You’ll work on real client problems, using AI to automate processes, cut costs, and make work faster and smarter. If you’re entrepreneurial, thrive on solving problems, and love turning ideas into working solutions, this is the role for you. What You’ll Do

• Lead and deliver AI POCs and MVPs that showcase real value for clients.
• Manage and mentor a distributed engineering team (Dubai, Jordan, Egypt, and beyond).
• Build solutions using LLMs, Generative AI, AI agents, and modern ML frameworks.
• Ensure robust delivery with MLOps, CI/CD, and cloud deployment (AWS, GCP, Azure).
• Work closely with clients and business teams to shape use cases and solutions.
• Drive innovation in the AI Hub, stay ahead of new tools and trends.

• Strong experience in AI/ML development with real-world projects.
• Hands-on skills in Python, FastAPI, TensorFlow, Hugging Face, and LLM toolkits (LangChain, LlamaIndex, LangGraph).
• Background in data engineering and cloud (Databricks, ETL, AWS or GCP).
• Track record of leading teams and delivering in fast-changing environments.
• Clear communicator with client-facing experience.
• Degree in Computer Science, Engineering, or similar (advanced degree a plus).

• Built voice-first AI, ASR/TTS systems, or streaming solutions.
• Worked in start-ups or innovation hubs.
• ML certifications (e.g., Databricks, GCP).

• Be part of a flagship AI team in the Middle East.
• Build real AI products that make an impact.
• Lead top talent across the region.
• Shape how AI is used by some of the biggest organisations.

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

Job Description: AI Engineering Manager - AI Hub

Location: Dubai UAE
Type: Full-time
Team: EY FAAS Data & AI Team
Hiring Director: Yousif Hussain
Hiring Partner: Raffaele Tiberio

Were looking for an AI Engineering Manager to join our AI Hub in Dubai. This is a hands-on leadership role where youll build AI and Generative AI prototypes (POCs MVPs) and lead a team of engineers to bring ideas to life. Youll work on real client problems using AI to automate processes cut costs and make work faster and smarter.
If youre entrepreneurial thrive on solving problems and love turning ideas into working solutions this is the role for you.

• Lead and deliver AI POCs and MVPs that showcase real value for clients.
• Manage and mentor a distributed engineering team (Dubai Jordan Egypt and beyond).
• Build solutions using LLMs Generative AI AI agents and modern ML frameworks.
• Ensure robust delivery with MLOps CI/CD and cloud deployment (AWS GCP Azure).
• Work closely with clients and business teams to shape use cases and solutions.
• Drive innovation in the AI Hub stay ahead of new tools and trends.

• Strong experience in AI/ML development with real-world projects.
• Hands-on skills in Python FastAPI TensorFlow Hugging Face and LLM toolkits (LangChain LlamaIndex LangGraph).
• Background in data engineering and cloud (Databricks ETL AWS or GCP).
• Track record of leading teams and delivering in fast-changing environments.
• Clear communicator with client-facing experience.
• Degree in Computer Science Engineering or similar (advanced degree a plus).

• Built voice-first AI ASR/TTS systems or streaming solutions.
• Worked in start-ups or innovation hubs.
• ML certifications (e.g. Databricks GCP).

• Be part of a flagship AI team in the Middle East.
• Build real AI products that make an impact.
• Lead top talent across the region.
• Shape how AI is used by some of the biggest organisations.

Required Experience:

Manager

Unlock Business Value with AI Engineering and Generative AI

In today's fast-paced digital landscape, businesses face increasing pressure to stay ahead of the competition. Our Data & AI team is at the forefront of this revolution, providing advisory services focused on AI Engineering and Generative AI (GenAI). As an AI Engineering professional, you will be instrumental in helping businesses unlock value by designing, building, and operationalizing scalable AI solutions using modern MLOps pipelines and cloud-native technologies.

You will work on integrating large language models (LLMs), automating workflows with GenAI, and embedding AI capabilities into business processes. Collaboration with data scientists, engineers, and business leaders will ensure that AI-driven solutions are aligned with strategic goals and deliver tangible business impact.

This exciting role will be based in Dubai, with a center of excellence in Jordan and Egypt, and will remotely support MENA client engagements. Travel may be required based on business need.

Are you excited about leading teams to solve complex technical problems and drive digital transformation for customers? As a Cloud & AI Solution Engineering Manager at Microsoft, you will lead a team of Solution Engineers in empowering our enterprise customers to achieve more through Microsoft’s cloud and AI technologies. In this role, you will model Microsoft’s leadership principles of Model, Coach, Care – fostering a culture where your team members grow, succeed, and feel included.

As a manager of Solution Engineers, you will engage with key customer technical decision-makers, leveraging deep technical and industry knowledge to build credibility and ensure technical wins. The role includes orchestrating team resources, maximizing customer engagement impact, accelerating presales activities through deep technical expertise and thought leadership, as well as overseeing solution demonstrations, guiding customers through digital transformation, and identifying new technical and business trends. This is a chance to shape strategy, influence key decision-makers, and be at the forefront of cloud innovation.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering or a related field, or equivalent practical experience.
• 5+ years of people management (direct or indirect) experience in the technology industry, leading technical teams, ideally in pre-sales.

Proven ability to coach talent, build skills and scale teams.

10+ years of technical experience in Cloud and AI, with strong knowledge of Microsoft Azure (or equivalent platforms) across multiple domains.

Preferred Qualifications:

• Experience leading technical conversations with customers, from understanding requirements to presenting solutions and managing objections. Able to translate complex solutions into clear business value.
• Experience developing technical strategies aligned to business goals, including coordination with cross-functional teams such as sales, marketing, engineering, and partners.
• Experience advising senior technical and executive stakeholders, with the ability to explain complex concepts in a clear, accessible way.

• Hire, coach, and develop a diverse team of Solution Engineers. Set clear goals, provide regular feedback, and support professional growth.

Foster an inclusive, high-performing team culture by leading with integrity, enabling success, and investing in people’s aspirations and development.

Guide the team to design effective cloud solutions that address real business needs and deliver measurable outcomes.

Ensure quality and consistency by sharing best practices and encouraging collaboration across teams and functions.

• Sales Accountability & Deal Acceleration: Own your team’s contribution to Azure revenue targets. Lead technical strategy in deal reviews and account planning to convert technical progress into sales velocity. Instill strong pre-sales discipline, opportunity tracking, delivery on commitments, and adherence to sales methodologies.

Promote strong execution through disciplined opportunity management, clear accountability, and follow-through.

Align technical activities with business priorities by working closely with sales, partners, and other stakeholders to focus on what matters most.

Support innovation and solution excellence by coaching architectural design, prototypes, and pilots that accelerate customer adoption.

Encourage modern, consultative sales approaches to position solutions with credibility and insight.

Extend reach through partner collaboration, enabling engineers to work effectively with partners to deliver complete, scalable solutions and overcome challenges.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Industry leading healthcare

Educational resources

Discounts on products and services

Savings and investments

Maternity and paternity leave

Generous time away

Giving programs

Opportunities to network and connect

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Get AI-powered advice on this job and more exclusive features.

*This role requires relocation to Dubai*

We're seeking an entrepreneurial and hands-on VP of Software Engineering to lead the technical vision, team, and execution of our client's venture studio. — This is a unique opportunity to build and scale an engineering organisation at the forefront of AI, product experimentation, and disruptive technologies.

You'll define and drive the technology strategy, shape the engineering culture, and lead cross-functional teams in delivering high-impact, AI-powered products from the ground up. If you're a visionary leader with a startup mindset and a passion for building bold, transformative solutions, we'd love to hear from you.

Responsible for:

• Hands-on and entrepreneurial tech leader to drive AI-first tech vision , strategy and execution of a world-class startup foundry to build and scale multiple AI-first category-defining startups
• Hire, mentor, and allocate top-tier engineers, tech leads, and venture leaders to deliver high-quality products quickly and efficiently, while building empowered, engaged, and mission-driven tech teams for each venture.
• Nurture a culture of bias for action, speed of execution, extreme ownership, rapid experimentation, learning and innovation, bold thinking with humility
• Drive an AI-first engineering culture and strategy to dramatically increase the productivity leverage per engineer, build capital-efficient startups and achieve outcomes that were impossible before AI.
• Define the common engineering best practices/processes, choice of AI/tech frameworks, workflows, tech stack, cloud, and data and AI architecture for all new ventures. Includes building reusable components (e.g. auth, billing) to reduce time to validation and market
• Continuously reduce the time to validation, time to acceleration and time to kill by partnering with the product on our playbook and building a self-learning venture engine that compounds knowledge over time
• Partner with labs leadership and founders on investment thesis, roadmaps, and resource planning.
• Own technical due diligence, code reviews, and compliance before external fundraising or onboarding co-build founders

Experience:

• 10+ years of experience building and scaling early-stage startups.
• Proven experience building -1 to 0 to 1 MVPs, ideally across multiple domains.
• Strong hands-on skills with modern tech, data and AI stacks
• Experience building and leading high-performance engineering teams and working with cross-functional teams.
• Clear, fast communicator with a bias for action.
• Startup DNA: scrappy, curious, and results-driven

• Seniority level Executive

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting and Financial Services

Referrals increase your chances of interviewing at Talent Seed by 2x

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Data Science Lead – Artificial Intelligence role at Dicetek LLC

• Lead AI-driven projects, overseeing the development and deployment of advanced machine learning models and algorithms.
• Collaborate with cross-functional teams to integrate AI solutions into business processes.
• Research and implement cutting-edge AI techniques, including deep learning, NLP, and generative models.
• Mentor junior team members and promote best practices in AI development.

• Master's degree or higher in Data Science, Computer Science, Statistics, or a related field; PhD preferred.
• Experience in Generative AI, Machine Learning, or NLP, especially in academic or financial sectors.
• Proven research record with publications and significant project contributions involving AI technologies.

• Expertise in machine learning, deep learning (CNNs, RNNs, GANs), and transformer models for NLP.
• Experience with algorithms like RAG, LoRA, and ensemble methods; optimizing for performance and scalability.
• Strong knowledge of data architecture, data pipelines, and cloud deployment (AWS, Azure, GCP).
• Proficiency in NLP libraries such as NLTK, spaCy, Hugging Face Transformers.

• Seniority level: Not Applicable
• Employment type: Contract
• Job function: Engineering and IT
• Industries: IT Services and Consulting

This job posting is active and not expired.

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

Log In Only registered users can open employer contacts.

Join to apply for the Senior Specialist - Data Science role at Department of Finance - Abu Dhabi

Join to apply for the Senior Specialist - Data Science role at Department of Finance - Abu Dhabi

About the Department of Finance – Abu Dhabi

Established in 1966 with the objective of strengthening the financial sustainability of the Emirate, DoF is responsible for the development and execution of the Abu Dhabi government’s annual budget and for overseeing government returns, expenditures, funding and liquidity. DoF does this by working closely in partnership with the relevant local government entities and the Abu Dhabi Executive Council.

Job purpose:

Under general directions, Data Scientist is primarily responsible to mine, clean, model, and interpret data to deliver business insights to DoF’s business users through relevant tools, dashboards and reports.

Key objectives for the role include (but not limited to):

• Collaborate with product design and engineering to develop an understand business users’ needs

• Research and devise innovative statistical models for data analysis using advanced Machine Learning, NLP and AI technologies

• Design, develop and implement end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building and performance evaluation)

• Enable smarter business processes and implement advanced analytics solutions for meaningful insights

• Desing and implement databases integrations to enrich existing data sources

• Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through DoF’s business capabilities and work closely with the engineering team to strategize and execute the development of data products

• Execute analytical experiments methodically to help solve problems and make true impact across the organisation

• Identify relevant data sources and sets to mine for business needs, and collect large structured and unstructured datasets and variables

• Devise and utilize advanced algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy

• Analyse data for trends, patterns and interpret data and develop advanced and accurate prediction algorithms with a clear business objective

• Implement advanced analytical models into production by collaborating with other software developers

• Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems

• Develop agentic AI solutions using AI models (SLM, LLM) and other AI specific workflow automation tools

Generic Accountabilities:

Supervision

• Plan, supervise and coordinate all activities in the assigned area to meet functional objectives

• When necessary, train and develop the direct reporting staff on relevant skills to enable them to become proficient on the job and deliver the respective section objectives

Budgets

• Provide input for preparation of the department budgets and assist in the implementation of the approved budget and work plans to deliver department objectives

• Investigate and highlight any significant variances to support effective performance and cost control

• Implement approved department policies, processes, systems, standards and procedures to support execution of the work programs in line with DoF and best international standards

• Comply with all applicable legislation and legal regulations

Performance Management

• Contribute to the achievement of the approved Performance Objectives for the department in line with the organization performance framework

Innovation and Continuous Improvement

• Design and implement new tools and techniques to improve the quality and efficiency of operational processes

• Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with industry best standards to define intelligent solutions

Health, Safety, Environment (HSE) and Sustainability

• Comply with relevant HSE policies, procedures & controls and applicable legislation and sustainability guidelines in line with international standards, best practices and DoF Code of Practices

Reports

• Provide inputs and prepare progress reports

Communications & Working Relationships:

Internal

• Daily interaction with business users, peers, IT staff, and other focal points to discuss and implement Machine Learning/AI solutions and other related projects

External

• Federal and Local Entities at equivalent level to coordinate/participate on API and data integration

• Vendors and business solution providers for exchange of information & technical/commercial clarifications

Qualifications, Experience, Knowledge & Skills:

• Bachelor’s degree in statistics, applied mathematics, or related discipline

• Master’s degree in stats, applied math, or related discipline

• 7+ years of solid experience in data science

• Proficiency with data mining, mathematics, and advanced statistical analysis

• Advanced pattern recognition and predictive modelling experience

• Experience with Machine Learning and Python for forecasting, predictions and optimization

• Strong experience with SQL, Phyton, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, SciPy, NumPy, Anaconda, Jupyter Notebook, PyTorch and other similar tools

• Familiar with Spark, TensorFlow, Analysis Services, GitLab

• Comfortable working in a very dynamic environment with several ongoing concurrent projects

Other Technical Competencies:

• Experience in developing and documenting Standards and Processes

• Strong Communication, interpersonal and people management skills

• Seniority levelAssociate

• Employment typeFull-time

• Job functionConsulting
• IndustriesSoftware Development, Data Security Software Products, and IT System Data Services

Referrals increase your chances of interviewing at Department of Finance - Abu Dhabi by 2x

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 5 days ago

Abu Dhabi Emirate, United Arab Emirates 3 days ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 year ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 3 days ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 10 months ago

Abu Dhabi Emirate, United Arab Emirates 2 weeks ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 month ago

Abu Dhabi Emirate, United Arab Emirates 2 weeks ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 6 months ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 month ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 3 months ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 month ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 3 days ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates $400.00-$50.00 11 hours ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 3 days ago

Abu Dhabi Emirate, United Arab Emirates 3 weeks ago

Abu Dhabi Emirate, United Arab Emirates 3 days ago

Abu Dhabi Emirate, United Arab Emirates 3 weeks ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 day ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 10 months ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 400.00- 450.00 17 hours ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 5 days ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 3 months ago

Abu Dhabi Emirate, United Arab Emirates 2 weeks ago

Abu Dhabi Emirate, United Arab Emirates 3 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.