151 Artificial Intelligence jobs in the United Arab Emirates

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We're Hiring: Artificial Intelligence - Senior Manager

Responsible for designing, developing, and implementing cutting-edge AI solutions to solve complex business problems. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to drive innovation and deliver AI-driven products and services.

Location: Dubai, United Arab Emirates

Work Mode: Work From Office

Role: Artificial Intelligence - Senior Manager

Salary: 30,000 to 34,000 AED plus Benefits

Experience: 7 to 10 years

• Solid experience in developing and implementing AI models and algorithms using frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in languages such as Python, Java, or C++, with the ability to write clean, efficient, and maintainable code.
• Deep understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep neural networks, and reinforcement learning.
• Proficiency in data manipulation, analysis, and visualization using libraries such as NumPy, Pandas, and Matplotlib.
• Experience with cloud platforms and services, such as AWS, Azure, or Google Cloud, for building and deploying AI solutions.
• Familiarity with big data technologies, such as Hadoop and Spark, for processing and analyzing large-scale datasets.
• Knowledge of software engineering best practices, including version control, unit testing, and agile methodologies.

• AI Model Development and Deployment
• Data Pipeline Development and Preprocessing
• AI Model Evaluation and Testing
• Knowledge Sharing and Mentorship
• AI Strategy and Collaboration

• Artificial Intelligence and Data Science

Ready to make an impact? Apply now and let's innovate together

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Other
• Industries: IT Services and IT Consulting

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Job Title: Head of Artificial Intelligence
Reports to: COO
Location: UAE
Industry: Financial Services Job Purpose:
Lead the Artificial Intelligence (AI) strategy, product development, and AI-driven supervisory solutions. This role is instrumental in transforming how regulatory insights are generated, how risks are detected and supervised, and how operational efficiency is achieved through intelligent automation. Lead the design and implementation of AI systems that are not only scalable and performant but also auditable, explainable, and ethically grounded. Job Responsibilities:
AI Strategy & Execution

• Define and execute an enterprise-wide AI strategy aligned with regulatory priorities, innovation goals, and ethical standards.
• Serve as the central point for AI leadership, ensuring alignment across business, supervisory, and operational functions.

• Evaluate and select appropriate AI/ML models based on the regulatory context, interpretability needs, and risk profile.
• Ensure architectural decisions align with governance standards, data environment, and long-term scalability objectives.

• Oversee hands-on design, prototyping, and scaling of AI models and solutions.
• Collaborate with data, policy, and business teams to deploy AI in production environments.
• Ensure robust performance monitoring, model explainability, and continuous improvement.

• Collaborate with Supervision, Enforcement, and Policy & Legal Divisions to embed AI into business processes.
• Engage with fintechs, AI solution providers, regulatory peers, and academic institutions to co-create innovation.
• Represent the firmin external forums on AI and digital transformation in financial regulation.

• Establish and maintain a comprehensive AI governance framework aligned with regulatory objectives, international AI standards, and ethical best practices.
• Ensure AI system transparency, explainability, and auditability, especially for models used in supervisory, risk, surveillance, or enforcement domains.
• Define and implement model risk management practices for all AI/ML models used, including regular validation, performance monitoring, and drift management.

• Operating within the first line of defence, you will share responsibility for ongoing risk management while promoting a strong risk culture within the division and across the organisation in line with the Risk Management Framework.

• Bachelor's degree in computer science, engineering, information technology, or a related field.
• Hands-on AI solution development and deployment in live production environments.
• Strong understanding of machine learning, NLP, intelligent automation, and associated tech stacks.
• Familiarity with AI use cases in areas such as fraud detection, credit risk, regulatory compliance, or customer intelligence.
• 15+ years of experience in the technology domain, with at least 5 years leading AI initiatives at scale, ideally gained through working within the financial services industry in roles involving technology innovation, digital transformation, or advanced analytics.
• Strategic thinking and executive-level stakeholder management skills.
• Strong leadership with the ability to build and manage cross-functional AI teams.
• Regulatory understanding and ethical foresight to ensure AI systems are deployed safely, responsibly, and with measurable impact.
• Deep technical knowledge combined with practical execution ability.
• Experience in implementing AI responsibly with a risk-aware mindset.
• Excellent communication, collaboration, and change management skills.
• Able to explain complex models to non-expert stakeholders.

Abu Dhabi, United Arab Emirates | Posted on 01/11/2025

Consultz is supporting our client, a well-renowned SWF in the region in their search for Manager of Artificial Intelligence .

To lead the development and implementation of advanced machine learning (ML) models and generative AI solutions. The role involves driving innovation, solving complex business challenges, and seamlessly integrating AI technologies into our existing systems and processes.

To be successful in this role, the candidate should possess a deep technical understanding of AI and ML, with a proven track record of deploying machine learning models in real-world applications. They should demonstrate strong problem-solving capabilities and have experience in collaborating with cross-functional teams. Experience in cloud environments, particularly Azure, is highly desirable to effectively contribute to the organization's strategic objectives.

• Design, develop, and deploy robust machine learning models and generative AI solutions tailored to specific technical and organizational challenges.
• Implement scalable machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
• Optimize and fine-tune ML models for accuracy, performance, and scalability in real-world production environments.
• Develop APIs and integrations to enable seamless interaction between AI models and existing systems or applications.
• Monitor and troubleshoot deployed models to ensure performance, reliability, and compliance with data and ethical standards.
• Conduct research on advancements in AI models and solutions to influence the direction of the organization’s AI roadmap.
• Collaborate with data engineering teams to ensure robust data pipelines and infrastructure to support AI initiatives.
• Implement and maintain version control and CI/CD pipelines for ML model deployment and lifecycle management.
• Utilize Azure cloud services for model training, deployment, and scaling, leveraging tools like Azure Machine Learning Studio, Databricks, and other relevant platforms.
• Ensure adherence to best practices in AI/ML development, including reproducibility, testing, and code quality standards.

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Over 10 years of experience in the field, with a minimum of 5 years of experience as an AI Developer, with a strong focus on building and deploying machine learning models.
• Experience in the implementation of solutions using generative AI models (OpenAI services including GPT and embedding models and other popular open-source models).
• Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks like TensorFlow, Keras, or PyTorch.
• Demonstrated experience in implementing ML models in real-world scenarios, with case studies or portfolio examples.
• Experience in improving model performance including optimization techniques, hyperparameter tuning, performance monitoring.
• Strong understanding of data structures, data modeling, and software architecture.
• Experience with cloud platforms, particularly Microsoft Azure, is highly desirable.
• Good understanding of data management principles, data warehousing, and business intelligence concepts.

cander Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

cander Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

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Job Title: Head of Artificial Intelligence (AI)

Salary: 100,000 - 120,000AED/month + bonus

Role Overview

We are seeking a commercially minded, execution-focused Head of Artificial Intelligence to lead enterprise-wide AI strategy and implementation. This senior leader will design and deploy AI solutions that deliver measurable commercial impact, drive innovation, and support strategic decision-making across all business units.

This role requires deep technical expertise, sharp business acumen, and the ability to influence and align multiple senior stakeholders across a complex organization.

Key Responsibilities

• Define and execute the company’s AI roadmap, aligned with commercial priorities and long-term business objectives.
• Lead the design and implementation of scalable AI/ML solutions including predictive models, process automation, generative AI, and advanced analytics, with a clear focus on delivering tangible business outcomes.
• Stakeholder Engagement
• Collaborate closely with C-suite leaders, department heads, and external partners to identify high-impact AI opportunities, secure buy-in, and drive adoption across business units.
• AI Governance & Risk
• Develop and oversee AI governance frameworks to ensure ethical, transparent, and compliant use of AI technologies.
• Explore and pilot cutting-edge technologies including LLMs, autonomous agents, and intelligent decision systems. Create a rapid experimentation environment for AI prototypes.
• Team & Capability Building
• Build and lead a high-performing AI team comprising data scientists, engineers, and analysts. Mentor talent, establish best practices, and foster a culture of innovation.
• Commercial Alignment
• Work with finance, operations, and strategy teams to quantify the ROI of AI initiatives and ensure alignment with commercial KPIs and investment priorities.

Qualifications & Experience

• Bachelor’s or Master’s in AI, Computer Science, Data Science, or related field; PhD is a plus
• 10+ years of experience in AI/ML with 5+ years in a senior leadership role
• Demonstrated success deploying AI at scale in fast-paced, commercially focused environments
• Expertise in LLMs, MLOps, GenAI, cloud architecture, and data infrastructure
• Exceptional stakeholder management skills with a strong ability to influence, communicate, and align diverse senior stakeholders
• Commercially savvy with the ability to link AI solutions to revenue growth, cost optimization, and strategic differentiation
• Prior experience working across multiple industries or in a diversified business group is preferred
• Entrepreneurial mindset and a bias for execution
• Strategic thinker with a strong grasp of market dynamics and competitive positioning
• Confident communicator, able to translate complex technical concepts into business value
• Agile and adaptable with experience navigating transformation and change

If you're ready to lead commercial AI transformation at scale and influence board-level strategy, we want to hear from you.

• Seniority levelDirector

• Employment typeFull-time

• Job functionInformation Technology
• IndustriesTechnology, Information and Media, Data Infrastructure and Analytics, and Information Services

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Job Title: Head of Artificial Intelligence
Reports to: COO
Location: UAE
Industry: Financial Services
Job Purpose:
Lead the Artificial Intelligence (AI) strategy, product development, and AI-driven supervisory solutions. This role is instrumental in transforming how regulatory insights are generated, how risks are detected and supervised, and how operational efficiency is achieved through intelligent automation. Lead the design and implementation of AI systems that are not only scalable and performant but also auditable, explainable, and ethically grounded.
Job Responsibilities:
AI Strategy & Execution

• Define and execute an enterprise-wide AI strategy aligned with regulatory priorities, innovation goals, and ethical standards.
• Serve as the central point for AI leadership, ensuring alignment across business, supervisory, and operational functions.

• Evaluate and select appropriate AI/ML models based on the regulatory context, interpretability needs, and risk profile.
• Ensure architectural decisions align with governance standards, data environment, and long-term scalability objectives.

• Oversee hands-on design, prototyping, and scaling of AI models and solutions.
• Collaborate with data, policy, and business teams to deploy AI in production environments.
• Ensure robust performance monitoring, model explainability, and continuous improvement.

• Collaborate with Supervision, Enforcement, and Policy & Legal Divisions to embed AI into business processes.
• Engage with fintechs, AI solution providers, regulatory peers, and academic institutions to co-create innovation.
• Represent the firmin external forums on AI and digital transformation in financial regulation.

• Establish and maintain a comprehensive AI governance framework aligned with regulatory objectives, international AI standards, and ethical best practices.
• Ensure AI system transparency, explainability, and auditability, especially for models used in supervisory, risk, surveillance, or enforcement domains.
• Define and implement model risk management practices for all AI/ML models used, including regular validation, performance monitoring, and drift management.

• Operating within the first line of defence, you will share responsibility for ongoing risk management while promoting a strong risk culture within the division and across the organisation in line with the Risk Management Framework.

• Bachelor's degree in computer science, engineering, information technology, or a related field.
• Hands-on AI solution development and deployment in live production environments.
• Strong understanding of machine learning, NLP, intelligent automation, and associated tech stacks.
• Familiarity with AI use cases in areas such as fraud detection, credit risk, regulatory compliance, or customer intelligence.
• 15+ years of experience in the technology domain, with at least 5 years leading AI initiatives at scale, ideally gained through working within the financial services industry in roles involving technology innovation, digital transformation, or advanced analytics.
• Strategic thinking and executive-level stakeholder management skills.
• Strong leadership with the ability to build and manage cross-functional AI teams.
• Regulatory understanding and ethical foresight to ensure AI systems are deployed safely, responsibly, and with measurable impact.
• Deep technical knowledge combined with practical execution ability.
• Experience in implementing AI responsibly with a risk-aware mindset.
• Excellent communication, collaboration, and change management skills.
• Able to explain complex models to non-expert stakeholders.

Bachelor of Technology/Engineering(Computers)

Nationality

Any Nationality

Vacancy

1 Vacancy

Job Description

Davidson Management Consultants have been mandated to recruit a Chief Artificial Intelligence Officer for their client in Dubai which is a large healthcare group which owns and operates hospitals and medical centers across UAE.You will be responsible for driving productivity and innovation through implementation of Artificial Intelligence and have a track record of enabling successful AI innovation programs.As a CAIO you will focus on increasing efficiency of business processes, optimize manpower, reduce waste, enhance TATs, improve patient experience, quality of services and profitability.The ideal candidate will have experience in driving transformation, providing skill training.Must have a proven track track record and excellent understanding of governance frameworks for ethical use of AI.You would work closely with all departments to deliver AI capabilities in order to align existing infrastructure, models and technology with AI and provide guidance on the legal and compliance aspects for responsible use of AI.You are expected to have good knowledge and understanding of Natural Language Processing, Machine Learning, Retrieval Augmented Generation, Data Analytics, Advanced Programming languages, Cloud Computing and Deployment, AI Frameworks (TensorFlow, PyTorch), Predictive Modeling, Risk Management principles, AI compliance, Data Visualization, Statistical analysis and Data Management.AI is a rapidly evolving technology and the CAIO role is not yet fully defined , hence, the client expects the CAIO to have the ability and expertise to keep themselves abreast of the daily developments and innovations within the industry.

Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at

Reports to: Chief Digital Transformation Officer

Location: Abu Dhabi, United Arab Emirates

Grade: SO7 / CG12

Date Published: 13 May 2025

Closing Date for Applications: 4 June 2025 at 16:00 CEST

CGIAR is a global research partnership dedicated to a food-secure future. Its science aims to reduce poverty, enhance food and nutrition security, and improve natural resources and ecosystems. It collaborates with hundreds of partners including research institutes, civil society, academia, development organizations, and the private sector.

CGIAR is advancing the responsible and inclusive use of Artificial Intelligence (AI) to transform food, land, and water systems for a resilient and equitable future. The Practice Lead of AI will be the senior AI leader within CGIAR, responsible for shaping and executing a system-wide AI strategy that fosters innovation, operational effectiveness, and global impact.

The role is based at the AI and Digital Transformation Accelerator Hub in Abu Dhabi, part of CGIAR's P25 portfolio, which is driving digital transformation across the organization. The Hub, supported by the UAE Presidential Court, will provide AI, ML, data, and cybersecurity capacities, and develop agriculture-specific LLMs and phenotyping approaches in collaboration with global tech partners.

The Practice Lead will work closely with ATRC's TII, AI71, and other CGIAR hubs, and lead the development of a CGIAR Center of Excellence on AI to support best practices and responsible AI adoption across CGIAR's network.

• Lead the design, implementation, and governance of CGIAR's AI strategy, integrating it into science, innovation, and operational priorities.
• Promote AI integration into CGIAR research, focusing on predictive analytics, generative AI, NLP, remote sensing, etc.
• Mobilize funding and partnerships to expand AI capabilities and support the AI strategy and Center of Excellence.
• Identify and mitigate AI-related risks in line with CGIAR's risk management framework.

• Manage and grow the Abu Dhabi AI Hub as a global innovation platform and CGIAR's anchor in digital transformation.
• Lead ethical, inclusive, and responsible AI governance, including safeguards and capacity building.
• Support CGIAR Centers and programs in adopting AI solutions across various domains.
• Engage with global and regional partners to strengthen CGIAR's role in AI for development.

• Establish and lead a CGIAR-wide Center of Excellence on AI for knowledge sharing, standards, and responsible AI frameworks.
• Develop workplans and budgets for the Center of Excellence.
• Drive AI adoption in operational functions like MELIA, People & Culture, Finance, and Strategic Planning.
• Build and lead a high-performing AI team aligned with CGIAR's digital transformation goals.
• Ensure timely implementation of the AI strategy across CGIAR.

• Master's or PhD in AI, Machine Learning, Computer Science, Data Science, or related field.
• At least 10 years of leadership in AI initiatives with proven impact.
• Experience in building institutional AI capacity and implementing responsible AI frameworks.
• Experience establishing collaborative platforms or centers of excellence, preferably in international or public-good contexts.
• Knowledge of equity, access, and capacity challenges in digital transformation in low- and middle-income countries.

• Systems leadership connecting AI innovation to science and development challenges.
• Deep technical knowledge of current and emerging AI technologies.
• Strategic thinking with strong organizational and partnership skills.
• Proven leadership of multicultural, cross-functional teams.
• Excellent communication skills, translating AI concepts into strategies and narratives.
• Commitment to responsible, inclusive AI innovation.

• Fluent in English; proficiency in Arabic, French, or other UN languages is desirable.

Employed by the CGIAR System Organization, offering competitive salary, benefits, insurance, retirement, education grant, and relocation support. Contracts are typically for three years, with renewal possible based on performance and funding.

Apply online via the provided link. For assistance, email (HIDDEN TEXT). Ensure your resume and cover letter are in English and exclude personal details like marital status, age, or photo. Applications in other languages will not be considered.

CGIAR is committed to diversity and inclusion, encouraging applicants from all backgrounds. For accommodations due to disability, email your request with 'Diversity and Inclusion Accommodation' in the subject line. Only shortlisted applicants will be contacted. We look forward to your application.

We're seeking an experienced AI professional to lead the development of cutting-edge machine learning systems.

As a key member of our AI deployment team, you will play a crucial role in orchestrating and automating the deployment of cutting-edge AI models in real-world applications.

This is an excellent opportunity to leverage your expertise in MLOps, DevOps, and AI engineering to drive innovation and growth in our organization. We are looking for a highly skilled and experienced individual who can work collaboratively with data scientists and engineers to ensure seamless integration of models into applications.

Key Responsibilities:

• Develop and execute a robust MLOps strategy to enable seamless deployment of AI models.
• Manage and optimize infrastructure required for model deployment, including cloud resources and container orchestration platforms.
• Implement automation for CI/CD pipelines, model versioning, and monitoring to streamline model deployment and maintenance.
• Work on designing and implementing scalable solutions to handle increasing volume of AI models and data.
• Collaborate with cross-functional teams to ensure successful deployment of AI models.

To be successful in this role, you will need:

• A Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of professional experience in MLOps, DevOps, or a related field.
• Proficiency in containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
• Strong expertise in CI/CD pipelines and version control (e.g., Git).
• Experience with orchestration tools like Apache Airflow.
• Solid knowledge of machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).

As a valued member of our team, you can expect:

• Competitive salary and benefits package.
• Opportunities for career growth and professional development.
• Collaborative and dynamic work environment.