89 AI Architect jobs in the United Arab Emirates

Entangle is reshaping the blockchain landscape with advanced interoperability and data connectivity solutions. By creating a seamless framework for DApps to interact across various networks, we’re solving one of blockchain’s biggest challenges: the barriers between fragmented ecosystems. Our Photon Messaging Protocol, universal data feeds, and customizable agent network bring high-performance, scalable infrastructure to developers in the DeFi space and beyond.

Position Overview:

We are seeking an experienced AI Solution Architect with a strong background in Web3 projects to join our team. The ideal candidate will be responsible for designing and implementing scalable AI solutions that leverage blockchain technologies, ensuring alignment with business objectives and compliance with ethical standards. This role requires a blend of technical expertise, strategic thinking, and hands-on leadership.

Key Responsibilities:

- Architectural Design: Develop and oversee the architecture of AI systems that integrate with blockchain technologies, ensuring they are scalable, secure, and efficient.

- Implementation Leadership: Lead cross-functional teams in the design and deployment of AI solutions within Web3 environments, from conception through to production release.

- Technical Documentation: Create comprehensive documentation detailing the architecture, components, and methodologies used in AI solutions.

- Collaboration: Work closely with software developers, product managers, and other stakeholders to ensure AI initiatives meet organizational needs and objectives.

- Compliance Oversight: Ensure all AI implementations adhere to ethical guidelines and industry regulations, particularly in relation to data privacy and algorithmic bias.

- Continuous Learning: Stay updated on advancements in AI, machine learning, blockchain technologies, and Web3 trends to drive innovation within the organization.

Required Qualifications:

- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.

- Experience: Minimum of 3 years in AI architecture roles, with significant experience in Web3 projects and blockchain technologies (e.g., Ethereum, smart contracts).

- Technical Skills:

- Proficiency in programming languages such as Python, R, or Java.

- Experience with AI frameworks (e.g., TensorFlow, PyTorch) and tools for machine learning model development.

- Familiarity with microservices architecture and cloud infrastructure design.

- Knowledge of identity management protocols and serverless functions.

- Soft Skills: Excellent communication skills for stakeholder engagement; strong leadership capabilities to mentor junior team members.

Preferred Qualifications:

- Experience with decentralized applications (dApps) and cross-platform mobile app development.

- Familiarity with Agile methodologies and DevOps practices.

- Understanding of enterprise service bus architectures.

What we offer:

- Exciting growing international start-up with ambitious goals of making headways in a revolutionary, multi-billion dollar industry

- Pay in USDT

- Scrum/agile environment

- Highly skilled engineering team

- Attractive compensation plus token allocations

- Remote work in a timezone that corresponds well with the UAE time

- Paid vacation and public holidays.

Entangle is reshaping the blockchain landscape with advanced interoperability and data connectivity solutions. By creating a seamless framework for DApps to interact across various networks, we’re solving one of blockchain’s biggest challenges: the barriers between fragmented ecosystems. Our Photon Messaging Protocol, universal data feeds, and customizable agent network bring high-performance, scalable infrastructure to developers in the DeFi space and beyond.

Position Overview:

We are seeking an experienced AI Solution Architect with a strong background in Web3 projects to join our team. The ideal candidate will be responsible for designing and implementing scalable AI solutions that leverage blockchain technologies, ensuring alignment with business objectives and compliance with ethical standards. This role requires a blend of technical expertise, strategic thinking, and hands-on leadership.

Key Responsibilities:

- Architectural Design: Develop and oversee the architecture of AI systems that integrate with blockchain technologies, ensuring they are scalable, secure, and efficient.

- Implementation Leadership: Lead cross-functional teams in the design and deployment of AI solutions within Web3 environments, from conception through to production release.

- Technical Documentation: Create comprehensive documentation detailing the architecture, components, and methodologies used in AI solutions.

- Collaboration: Work closely with software developers, product managers, and other stakeholders to ensure AI initiatives meet organizational needs and objectives.

- Compliance Oversight: Ensure all AI implementations adhere to ethical guidelines and industry regulations, particularly in relation to data privacy and algorithmic bias.

- Continuous Learning: Stay updated on advancements in AI, machine learning, blockchain technologies, and Web3 trends to drive innovation within the organization.

Required Qualifications:

- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.

- Experience: Minimum of 3 years in AI architecture roles, with significant experience in Web3 projects and blockchain technologies (e.g., Ethereum, smart contracts).

- Technical Skills:

- Proficiency in programming languages such as Python, R, or Java.

- Experience with AI frameworks (e.g., TensorFlow, PyTorch) and tools for machine learning model development.

- Familiarity with microservices architecture and cloud infrastructure design.

- Knowledge of identity management protocols and serverless functions.

- Soft Skills: Excellent communication skills for stakeholder engagement; strong leadership capabilities to mentor junior team members.

Preferred Qualifications:

- Experience with decentralized applications (dApps) and cross-platform mobile app development.

- Familiarity with Agile methodologies and DevOps practices.

- Understanding of enterprise service bus architectures.

What we offer:

- Exciting growing international start-up with ambitious goals of making headways in a revolutionary, multi-billion dollar industry

- Pay in USDT

- Scrum/agile environment

- Highly skilled engineering team

- Attractive compensation plus token allocations

- Remote work in a timezone that corresponds well with the UAE time

- Paid vacation and public holidays.

• Architect end-to-end GenAI systems, including prompt chaining, memory strategies, token budgeting, and embedding pipelines
• Design and optimize RAG (Retrieval-Augmented Generation) workflows using tools like LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, Qdrant)
• Evaluate tradeoffs between zero-shot prompting, fine-tuning, LoRA/QLoRA, and hybrid approaches, aligning solutions with user goals and constraints
• Integrate LLMs and APIs (OpenAI, Anthropic, Cohere, Hugging Face) into real-time products and services with latency, scalability, and observability in mind
• Collaborate with cross-functional teams—translating complex GenAI architectures into stable, maintainable features that support product delivery
• Write and review technical design documents and remain actively involved in implementation decisions
• Deploy to production with industry best practices around version control, API lifecycle management, and monitoring (e.g., hallucination detection, prompt drift)
  

• Proven experience building and deploying GenAI-powered applications, ideally in enterprise or regulated environments
• Deep understanding of LLMs, vector search, embeddings, and GenAI design patterns (e.g., RAG, prompt injection protection, tool use with agents)
• Proficiency in Python and fluency with frameworks and libraries like LangChain, Transformers, Hugging Face, and OpenAI SDKs
• Experience with vector databases such as FAISS, Qdrant, or Pinecone
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and core MLOps concepts (CI/CD, monitoring, containerization)
• A delivery mindset—you know how to balance speed, quality, and feasibility in fast-moving projects
  

• Experience building multi-tenant GenAI platforms
• Exposure to enterprise-grade AI governance and security standards
• Familiarity with multi-modal architectures (e.g., text + image or audio)
• Knowledge of cost-optimization strategies for LLM inference and token usage
  

• ML researchers focused on academic model development without delivery experience
• Data scientists unfamiliar with vector search, LLM prompt engineering, or system architecture
• Engineers who haven't shipped GenAI products into production environments
  

• Competitive salary and performance bonuses
• Comprehensive health insurance
• Professional development and certification support
• Opportunity to work on cutting-edge AI projects
• International exposure and travel opportunities
• Flexible working arrangements
• Career advancement opportunities in a rapidly growing AI company
  

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

About DeepLight AI: DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries. Our team combines deep expertise in AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
We are seeking an experienced AI/ML Architect to lead the design, development, and deployment of scalable, high-impact machine learning systems. This role sits at the core of our AI initiatives, guiding both strategy and implementation across advanced models, cloud infrastructure, and MLOps practices.
You'll work cross-functionally with data scientists, engineers, and stakeholders to architect production-ready AI solutions using the latest in deep learning, large language models, and retrieval-augmented generation. This is a leadership opportunity to shape the AI roadmap and drive innovation within a fast-paced environment.
Requirements

• 7+ years of experience in machine learning, data science, or AI solution architecture
• Proven track record deploying ML systems into production at scale
• Deep understanding of ML algorithms, statistical methods, and LLM architectures
• Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
• Experience with MLOps tools and cloud services (AWS/GCP/Azure)
• Strong grasp of vector databases (FAISS, Pinecone, Weaviate) and prompt engineering
• Experience with LoRA, QLoRA, or other fine-tuning strategies for foundation models
  

• Architect end-to-end AI/ML pipelines from data ingestion to deployment and monitoring
• Design and integrate scalable LLM and deep learning systems across cloud and hybrid platforms
• Evaluate ML model approaches including fine-tuning (LoRA, QLoRA) and pre-training methodologies
• Lead MLOps strategy (CI/CD for models, monitoring, retraining pipelines) using modern tools (e.g., MLflow, Kubeflow)
• Guide adoption of vector databases and RAG frameworks for real-time inference at scale
• Partner with product and engineering to convert business needs into AI solutions
• Set technical direction, mentor team members, and evangelize best practices in model development
• Ensure ethical AI deployment, data governance, and regulatory compliance
  

• Competitive salary and performance bonuses
• Comprehensive health insurance
• Professional development and certification support
• Opportunity to work on cutting-edge AI projects
• International exposure and travel opportunities
• Flexible working arrangements
• Career advancement opportunities in a rapidly growing AI company
  

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionOther
• IndustriesIT Services and IT Consulting

Referrals increase your chances of interviewing at Deeplight AI by 2x

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

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

Abu Dhabi Emirate, United Arab Emirates 3 weeks ago

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

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

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

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

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

Abu Dhabi Emirate, United Arab Emirates 5 days ago

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

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

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

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 8 months ago

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

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 9 months ago

Abu Dhabi Emirate, United Arab Emirates 3 days ago

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

Abu Dhabi Emirate, United Arab Emirates 3 days ago

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

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

· Design the overall architecture for GenAI tools, including the enterprise AI knowledge platform, data, models, and UI integration.

· Define standards for AI governance, scalability, and security.

· Ensure interoperability with existing enterprise systems.

· Collaborate with all stakeholders to design and develop a technology strategy that aligns with the organization's objectives.

· Analyze requirements, create architectural designs, and ensure technical solutions align with organizational goals.

Skills:

· Experience with AWS and Azure, including compute, storage, networking, IAM, monitoring, and DevOps pipelines.

· Strong understanding of integration patterns (messaging queues, APIs, etc.).

· Understanding of security principles including encryption, authentication, authorization, etc.

· Familiarity with regulatory standards and security frameworks.

· Understanding of data architecture and related concepts.

· Experience with CI/CD pipelines, containerization, and orchestration tools (Docker, Kubernetes).

· Experience with RAG systems, LLM architecture, and enterprise integration.

· Experience designing Gen AI systems.

· Proficient in architectural modeling tools and frameworks.

Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bona fides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advise 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

We are currently looking for AI Solutions Architect forour UAE operations with the following Skill set and terms & conditions.

Skill Sets : Qualifications :

Education : Bachelors or Masters degree in Computer Science Engineering Artificial Intelligence or related field.

Experience :

o Good years of experience in AI machine learning and solution architecture with a proven track record of designing and deploying AI solutions.

o Hands-on experience with AI tools and platforms and cloud services like AWS Google Cloud or Microsoft Azure.

o Strong background in machine learning algorithms deep learning data processing and systems integration.

Technical Skills :

o Proficient in programming languages such as Python Java or C.

o Familiarity with data pipeline tools and frameworks

o Experience with cloud infrastructure containerization (Docker Kubernetes) and DevOps practices.

o Solid understanding of data architecture data science security and privacy considerations in AI systems.

Soft Skills :

o Strong analytical and problem-solving skills.

o Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.

o Leadership experience and the ability to work effectively in cross-functional teams.

o Detail-oriented and focused on delivering high-quality scalable solutions.

Preferred Qualifications :

Certifications in AI technologies or cloud platforms (e.g. AWS Certified Solutions Architect Google Cloud Professional Machine Learning Engineer).

Experience with advanced AI techniques such as reinforcement learning natural language processing or computer vision.

Knowledge of AI ethics and bias mitigation strategies.

Personal Attributes :

Ability to innovate and think critically about solving complex business problems with AI.

Strong interpersonal and communication skills for collaboration with stakeholders at all levels.

Self-motivated proactive and comfortable working in a dynamic and fast-paced environment.

6 to 8 Years.

Joining time frame : 2 weeks (maximum 1 month)

Additional Information :

Terms and conditions :

Joining time frame : maximum 4 weeks

Remote Work : Employment Type :

Full-time

J-18808-Ljbffr

Entangle is reshaping the blockchain landscape with advanced interoperability and data connectivity solutions. By creating a seamless framework for DApps to interact across various networks, we're solving one of blockchain's biggest challenges: the barriers between fragmented ecosystems. Our Photon Messaging Protocol, universal data feeds, and customizable agent network bring high-performance, scalable infrastructure to developers in the DeFi space and beyond.

Position Overview:

We are seeking an experienced AI Solution Architect with a strong background in Web3 projects to join our team. The ideal candidate will be responsible for designing and implementing scalable AI solutions that leverage blockchain technologies, ensuring alignment with business objectives and compliance with ethical standards. This role requires a blend of technical expertise, strategic thinking, and hands-on leadership.

Key Responsibilities:

- Architectural Design: Develop and oversee the architecture of AI systems that integrate with blockchain technologies, ensuring they are scalable, secure, and efficient.

- Implementation Leadership: Lead cross-functional teams in the design and deployment of AI solutions within Web3 environments, from conception through to production release.

- Technical Documentation: Create comprehensive documentation detailing the architecture, components, and methodologies used in AI solutions.

- Collaboration: Work closely with software developers, product managers, and other stakeholders to ensure AI initiatives meet organizational needs and objectives.

- Compliance Oversight: Ensure all AI implementations adhere to ethical guidelines and industry regulations, particularly in relation to data privacy and algorithmic bias.

- Continuous Learning: Stay updated on advancements in AI, machine learning, blockchain technologies, and Web3 trends to drive innovation within the organization.

Required Qualifications:

- Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

- Experience: Minimum of 3 years in AI architecture roles, with significant experience in Web3 projects and blockchain technologies (e.g., Ethereum, smart contracts).

- Technical Skills:

- Proficiency in programming languages such as Python, R, or Java.

- Experience with AI frameworks (e.g., TensorFlow, PyTorch) and tools for machine learning model development.

- Familiarity with microservices architecture and cloud infrastructure design.

- Knowledge of identity management protocols and serverless functions.

- Soft Skills: Excellent communication skills for stakeholder engagement; strong leadership capabilities to mentor junior team members.

Preferred Qualifications:

- Experience with decentralized applications (dApps) and cross-platform mobile app development.

- Familiarity with Agile methodologies and DevOps practices.

- Understanding of enterprise service bus architectures.

What we offer:

- Exciting growing international start-up with ambitious goals of making headways in a revolutionary, multi-billion dollar industry

- Pay in USDT

- Scrum/agile environment

- Highly skilled engineering team

- Attractive compensation plus token allocations

- Remote work in a timezone that corresponds well with the UAE time

- Paid vacation and public holidays.

We are seeking an experienced AI Engineering Manager to lead our flagship AI team in the Middle East.

This is a hands-on leadership position where you will build and deploy AI prototypes (POCs, MVPs) and oversee a team of engineers to bring innovative ideas to life. You will work on real-world client projects using AI to automate processes, reduce costs, and enhance productivity.

• Design and deliver AI POCs and MVPs that showcase tangible value for clients.
• Manage and mentor a distributed engineering team across various locations.
• Develop solutions using Large Language Models (LLMs), Generative AI, AI agents, and modern Machine Learning (ML) frameworks.
• Evaluate and ensure robust delivery with MLOps, Continuous Integration/Continuous Deployment (CI/CD), and cloud deployment (AWS, GCP, Azure).
• Collaborate closely with clients and business teams to define use cases and solutions.
• Promote innovation within the AI Hub, staying at the forefront 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 computing (Databricks, ETL, AWS or GCP).
• A proven track record of leading teams and delivering results in fast-paced environments.
• Clear communication skills with client-facing experience.
• Degree in Computer Science, Engineering, or related field (advanced degree a plus).

Bonus points if you have expertise in voice-first AI ASR/TTS systems or streaming solutions, worked in start-ups or innovation hubs, or hold ML certifications (e.g., Databricks, GCP).

Location: Dubai, UAE

About the Role

We are seeking a seasoned Data & AI Solutions Architect with 12+ years of experience to lead the design and integration of a cutting-edge, scalable data platform. This role requires deep expertise in Azure technologies, data architecture, and modern AI capabilities. The ideal candidate will define the platform’s strategic roadmap, oversee the seamless integration of ingestion, processing, storage, and AI/ML layers, and provide technical leadership across teams. You will bearchitecting robust, intelligent data ecosystems that power enterprise-grade AI solutions

Key Responsibilities

• Define the architectural blueprint and strategic roadmap for the Data Platform, integrating data ingestion, processing, storage, and AI/ML layers
• Design optimal data models for OneLake Delta Tables (Raw, Silver, Gold) and define strategies for data storage solutions (Graph Database, Vector Database, Elastic Search)
• Oversee the seamless integration of all platform components, including Azure Data Factory, OneLake, Azure AI services (Document Intelligence, OpenAI, AI Search), and the Data Store
• Ensure the scalability, performance, security, and cost-effectiveness of the entire data platform
• Define data governance, quality, and retention policies across the platform
• Collaborate with development teams and stakeholders to ensure data is optimized for AI/ML consumption and vectorization processes
• Provide technical leadership, guidance, and mentorship to engineering teams.
• Stay current with emerging trends and technologies in data architecture, big data, cloud-native services, and AI/ML

Candidate Requirements

• 12–15 years of overall relevant experience
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, Artificial Intelligence, or a related field
• Proven experience as a Solutions/Data Architect designing and implementing large-scale data platform
• Hands-on experience with Microsoft Azure cloud services, especially in Data Factory, OneLake, Delta Lake, ADLS Gen2, Azure AI/OpenAI, and Azure AI Search
• Experience with data modeling (Raw/Silver/Gold), Medallion architecture, and data governance
• Track record in integrating AI/ML layers into data platforms and building data pipelines ready for cognitive services or search-based applications
• Familiarity with graph databases, vector databases, Elastic Search, AKS, and retrieval-augmented generation (RAG) framework
• Additional certifications in cloud architecture, data engineering, or AI/ML (e.g., Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer, or Azure AI Engineer) are a strong plus

Disclaimer:

This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.