455 AI Architect jobs in the United Arab Emirates

Job Summary/Mission

As an AI Solution Architect at GovDigital AI Factory, you will be a pivotal leader in conceptualizing, designing, and overseeing the implementation of advanced AI solutions, with a strong emphasis on Generative AI technologies. You will translate complex government challenges and business requirements into robust, scalable, and secure AI architectures. You will be instrumental in guiding the technical direction for AI projects, ensuring the strategic application of cutting-edge GenAI tools and methodologies to deliver transformative government services. You will collaborate extensively with Business Subject Matter Experts (SMEs), Data Scientists, AI/ML Engineers, Data Engineers, and Software Engineers to build impactful AI-powered products benefiting the citizens, residents, and visitors of Abu Dhabi.

Key Responsibilities

·   Lead the architectural design and development of sophisticated AI solutions, with a primary focus on Generative AI applications, including those leveraging Large Language Models (LLMs), photo-realistic diffusion models, and Generative Adversarial Networks (GANs).

·   Define and implement end-to-end solution architectures for AI systems, ensuring scalability, reliability, security, and seamless integration with existing government technology ecosystems.

·   Champion the use of state-of-the-art GenAI frameworks and tools such as Langchain, LlamaIndex, LangSmith, LangFlow, LangGraph and other specialized GenAI libraries for rapid prototyping and production deployment.

·   Architect and oversee the development of robust data pipelines for training, fine-tuning, and evaluating GenAI models, working with complex and sensitive government datasets.

·   Design and implement strategies for deploying, monitoring, and managing AI/ML models in production, with a focus on MLOps and AIOps practices for GenAI solutions, utilizing tools like Kubeflow, MLflow, and Airflow.

·   Provide expert guidance on the selection and integration of various database technologies, including relational databases (e.g., PostgreSQL), vector databases (e.g., Milvus), and graph databases (e.g., Neo4j) to support advanced AI and GenAI capabilities.

·   Collaborate closely with cross-functional teams to define problem statements, architect innovative AI solutions, and ensure the successful delivery and adoption of AI-powered systems.

·   Stay at the forefront of the latest advancements in AI, particularly in Generative AI, evaluating and recommending new technologies, tools, and techniques to enhance our AI capabilities.

·   Ensure all AI solutions adhere to ethical guidelines, transparency principles, and government regulations, implementing robust AI safeguard strategies.

·   Develop and maintain comprehensive architectural documentation and effectively communicate complex technical concepts to both technical and non-technical stakeholders.

·   Lead the troubleshooting and resolution of complex architectural issues related to AI/ML models and pipelines in production environments.

Qualifications/Skills

·   Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.

·   Proven experience (ideally 5+ years) as a Solution Architect, Technical Architect, or similar role, with a significant focus on designing and implementing AI/ML and GenAI solutions in production environments.

·   Deep understanding and extensive hands-on experience in architecting solutions using a broad spectrum of Generative AI models and techniques, including practical application of LLMs (e.g., retrieval augmented generation, fine-tuning), diffusion models, and GANs.

·   Strong expertise in GenAI frameworks and tools such as Langchain, LlamaIndex, LangSmith, LangFlow, LangGraph and other specialized GenAI libraries.

·   Demonstrable experience in designing and deploying AI pipelines using orchestration, deployment, and monitoring tools (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes), with a strong emphasis on security and scalability for GenAI applications.

·   Proficiency in Python and a strong understanding of software engineering best practices.

·   Solid understanding of data engineering principles and experience architecting solutions for large, complex datasets, including experience with cloud-based data platforms (e.g., Azure).

·   In-depth knowledge of various database systems, particularly vector databases (e.g., Milvus) and their application in GenAI solutions (e.g., semantic search, RAG, Knowledge Gaphs).

·   Exceptional problem-solving and analytical skills, with the ability to translate complex business requirements into innovative and scalable AI architectures.

·   Outstanding communication, presentation, and collaboration skills, with the ability to articulate complex AI architectural concepts to diverse audiences.

·   Hands-on experience with distributed training and efficient inference techniques for large-scale GenAI models, particularly on on-premise GPU infrastructure.

·   A proactive, self-driven, and results-oriented mindset with a passion for continuous learning and staying at the cutting edge of AI and GenAI advancements.

Bonus Points

·   Proven experience implementing and leveraging AIOps practices and tools within a production environment, especially for GenAI systems.

·   Specific familiarity with the unique challenges and opportunities within the government sector or relevant industry domains within Abu Dhabi.

·   Hands-on experience with distributed training and efficient inference techniques for large-scale GenAI models.

·   Contributions to the open-source AI/ML community (especially in GenAI) or publications in relevant AI/ML conferences or journals.

High-Performance AI Model Serving

We're shaping the future of digital finance by pioneering a global financial revolution that enables seamless integration of reserve-backed tokens across blockchains, empowering businesses worldwide. Transparency and security are at the core of our mission to build trust in digital transactions.

Our team is innovating with cutting-edge technology to create solutions that advance AI and peer-to-peer tech with secure data sharing. We're seeking a skilled engineer to join us and innovate in model serving and inference architectures for advanced AI systems.

You will design and deploy high-performance model serving architectures optimized for diverse environments, including edge devices. This involves optimizing deployment strategies for responsiveness, efficiency, and scalability across various hardware environments.

Your role will focus on conducting inference testing in simulated and live environments, monitoring key metrics, and documenting results for continuous improvement. You will also prepare high-quality datasets and scenarios for real-world deployment challenges.

• Design and deploy high-performance model serving architectures optimized for diverse environments.
• Conduct inference testing and monitor key metrics.
• Prepare high-quality datasets and scenarios.

To succeed in this role, you'll need a degree in Computer Science or a related field, preferably with a PhD and a strong record in AI R&D. Proven experience in kernel and inference optimization on mobile devices is essential, along with expertise in modern model serving architectures and optimization techniques for resource-constrained environments.

• Master's or Ph.D. in Computer Science or related field.
• Proven experience in kernel and inference optimization.
• Expertise in modern model serving architectures.

AI Innovation Lead

Shape the future of digital finance with innovative solutions that enable seamless integration across blockchains.

Join our global team to pioneer a financial revolution, pushing technological boundaries and merging human potential with innovation. Our mission is built on transparency and security, empowering businesses worldwide with trust in digital transactions.

Tether Finance: Home of the trusted stablecoin USDT and digital asset tokenization services.

Tether Power: Eco-friendly energy solutions for Bitcoin mining, utilizing sustainable practices across diverse locations.

Tether Data: Advancing AI and peer-to-peer tech with secure data sharing solutions like KEET.

Tether Education: Providing accessible digital learning to empower individuals in the digital economy.

Why Tether?

Our remote, global team is passionate about fintech innovation. We welcome top talent to influence industry standards, grow with us, and contribute to cutting-edge platforms. If you excel in English communication and are eager to make a difference, we invite you to join our journey.

About the role:

As part of our AI model team, you will design and deploy high-performance inference architectures optimized for diverse environments, including edge devices. Your responsibilities include setting performance targets, conducting inference testing, preparing datasets, analyzing bottlenecks, and collaborating with teams to integrate optimized inference frameworks into production.

Key requirements:

• Degree in Computer Science or related field; PhD preferred, with a strong record in AI R&D.
• Proven experience in kernel and inference optimization on mobile devices, demonstrating measurable performance improvements.
• Deep understanding of modern model serving architectures and optimization techniques for resource-constrained environments.
• Expertise in CPU and GPU kernel development for mobile platforms and experience deploying inference pipelines.
• Ability to translate empirical research into practical optimizations, with skills in evaluation frameworks and iterative improvement.

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

We seek a visionary AI Architect to pioneer next-generation AI solutions integrating Generative AI , Agentic AI architectures , and collaborative Agentic Mesh ecosystems . This role demands expertise in designing self-organizing AI systems that blend large language models (LLMs), small language models (SLMs), and multi-agent frameworks to drive disruptive technological transformation. Candidates must demonstrate mastery in translating theoretical AI advancements into scalable, ethical systems with measurable real-world impact

Key Responsibilities

1. Advanced Architecture Design

• Design Generative AI systems leveraging GANs, VAEs, and transformer-based models for content synthesis, simulation, and data augmentation
• Architect Agentic AI frameworks using LangChain, Hugging Face, GCP Agentspace, Azure AI Foundry, AWS Bedrock, and vector databases to enable autonomous problem-solving and adaptive learning
• Implement Agentic Mesh ecosystems where AI agents collaborate dynamically, combining language, behavioral, and domain-specific capabilities

2. Model Optimization & Innovation

• Develop novel techniques for LLM/SLM fine-tuning, including retrieval-augmented generation (RAG) and context-aware prompt engineering
• Optimize inference performance for real-time applications using MLOps pipelines and cloud-native deployment using native PaaS
• Lead R&D initiatives in neurosymbolic AI, mechanistic interpretability, and ethical guardrails for autonomous systems

3. Strategic team player

• Work with high performance teams in deploying AI systems that redefine industry standards (e.g., healthcare diagnostics, financial forecasting, supply chain resilience).
  Collaborate on publishing whitepapers and patents on emergent AI architectures, emphasizing sustainability and bias mitigation

Who You Are

Required Qualifications (Must have)

Education

• PhD in Machine Learning, Computational Neuroscience, or AI Ethics (or niche MSc with 8+ years in complex AI systems)

Technical Expertise

• 7+ years building production-grade AI systems using:
• Generative AI : PyTorch Lightning, Hugging Face Transformers, Stable Diffusion, Open AI, Grok etc
• Agentic AI : Hugging Face, Nvidia Toolkits, Hyperscaler AI agent services, LangChain, vector databases, MCP, A2A protocols etc
• LLM/SLM Optimization : LoRA, QLoRA, and RLHF techniques
• Proven ability to design multi-agent systems with emergent collaboration capabilities

Cognitive & Professional Traits

• Lateral thinker with patents/publications in ICML, NeurIPS, or AAAI demonstrating unconventional problem-solving
• Portfolio of projects showcasing 10x efficiency gains through AI-driven process reinvention
• Fluency in ethical AI frameworks (EU AI Act, OECD AI Principles)

Preferred Qualifications (Good To Have)

• Contributions to open-source AI projects (e.g., LangChain, AutoGPT, Hugging Face)
• Experience with neuromorphic computing or quantum machine learning integration.
• Advisory roles in AI policy committees or standardization bodies.

What We Offer

• Lead groundbreaking projects at the intersection of Generative AI and Agentic Autonomy .
• Large base of diverse customers and real world usecases to solve

Apply with:

• Technical whitepaper demonstrating original thinking in AI architecture
• GitHub repository showcasing complex system designs
• Doctoral thesis abstract (if applicable)

Shape the future of autonomous intelligence systems. Challenge accepted?

Being You

Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.

What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.

Get Referred

If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.

We are seeking an experienced AI Solutions Architect to design, develop, and implement innovative AI-powered solutions that solve complex business problems.

This role involves collaborating with cross-functional teams to translate business requirements into AI/ML solutions. The ideal candidate will have a strong understanding of AI/ML frameworks, cloud platforms, and data pipeline tools.

• Design end-to-end AI/ML architectures and scalable systems using industry best practices.
• Collaborate with engineering, product, data science, and operations teams to deliver high-quality AI solutions.
• Lead the technical direction of AI initiatives including model selection, data pipeline architecture, deployment strategies, and MLOps practices.
• Evaluate and recommend AI tools, frameworks, cloud services, and infrastructure for production-grade systems.

The following qualifications are necessary for success in this role:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
• 5+ years of experience in software architecture, with at least 2 years focused on AI/ML systems.
• Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of cloud platforms (AWS, Azure, or GCP) and services for AI (e.g., SageMaker, Vertex AI).
• Hands-on experience with data pipeline tools (e.g., Apache Airflow, Kafka) and MLOps tools (e.g., MLflow, Kubeflow).

This role offers a unique opportunity to work on cutting-edge AI projects and collaborate with a talented team of professionals.

The ideal candidate will be passionate about AI and machine learning, with a strong desire to learn and grow within the field.

Our team is committed to delivering high-quality AI solutions that drive business value and innovation.

We seek a seasoned Enterprise Solutions Architect to design and implement AI-powered enterprise solutions.

This is an opportunity for an experienced professional to lead our team in designing and implementing cutting-edge AI-powered enterprise solutions.

• Design, develop, and implement AI-powered enterprise solutions that integrate traditional systems with AI/ML.
• Lead a team of engineers across full-stack, DevOps, and AI/ML specializations in Agile environments.
• Drive technical decisions spanning infrastructure, databases, APIs, microservices, and AI components.

• Expert-level LLM experience including fine-tuning and deployment.
• Hands-on AI/ML experience building production systems with Python, TensorFlow, PyTorch.
• Integration of AI/ML models with existing enterprise architectures.
• Strong cloud experience (AWS/Azure/GCP) with ML services.
• Kubernetes expertise for container orchestration and deployment.

• 7+ complex projects delivered across enterprise systems and AI/ML solutions.
• Team leadership experience managing diverse technical teams.

The ideal candidate will have a strong background in GenAI leadership, AI/ML foundation, and enterprise architecture with deployment experience across on-premises, cloud, and hybrid environments.

Relocation to Abu Dhabi may be required for onsite client requirements.

Priority expertise: GenAI Leadership → AI/ML Foundation → Enterprise Architecture with deployment experience across on-premises, cloud, and hybrid environments.

Experience in leading 8–12 engineers across full-stack, DevOps, and AI/ML specializations in Agile environments is highly desirable.

We are seeking an Enterprise Solutions Architect to lead the design and implementation of end-to-end AI-powered solutions integrating traditional systems with AI/ML.

The ideal candidate will have a strong foundation in AI/ML, enterprise architecture, and deployment experience across on-premises, cloud, and hybrid environments.

• Design and implement AI-powered enterprise solutions
• Lead engineers in Agile environments
• Drive technical decisions spanning infrastructure, databases, APIs, microservices, and AI components

• GenAI Leadership: 3+ years of experience in fine-tuning and deploying LLMs
• Ai/ml Foundation: Hands-on experience building production systems with Python, TensorFlow, PyTorch
• Enterprise Architecture & Deployment: Full-stack development with MERN stack or equivalent
• Cloud & Infrastructure: Strong cloud experience with ML services and AWS: SageMaker, Bedrock, Lambda, API Gateway

• 7+ complex projects delivered across enterprise systems and AI/ML solutions
• Team leadership experience managing diverse technical teams

Priority expertise: GenAI Leadership → Ai/ml Foundation → Enterprise Architecture with deployment experience.

We are seeking an experienced AI Solutions Architect to design and implement innovative AI-powered solutions that solve complex business problems.

• Design end-to-end AI/ML architectures and scalable systems using industry best practices.
• Collaborate with cross-functional teams to translate business requirements into AI/ML solutions.
• Lead the technical direction of AI initiatives including model selection, data pipeline architecture, deployment strategies, and MLOps practices.

Required Skills:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
• 5+ years of experience in software architecture, with at least 2 years focused on AI/ML systems.
• Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of cloud platforms (AWS, Azure, or GCP) and services for AI (e.g., SageMaker, Vertex AI).
• Hands-on experience with data pipeline tools (e.g., Apache Airflow, Kafka) and MLOps tools (e.g., MLflow, Kubeflow).

Benefits:

• A competitive base salary.
• Equity options.

What You'll Do:

• Be a go-getter with a growth mindset.
• Thrive in a fast-paced environment.
• Be a collaborative team player.
• Be highly organized and results-driven.

This role is focused on revolutionizing software development by integrating AI into the coding process.

A successful candidate will be able to leverage AI to optimize code, enable precise deployments, and push the boundaries of what's possible in cloud-native applications.

• Master the art of debugging using cutting-edge RAG vector stores and advanced analysis tools.
• Orchestrate AI development agents to craft and deploy groundbreaking features in a cloud-native ecosystem.
• Collaborate with a network of innovators to deliver enterprise solutions that set new industry standards.

The ideal candidate has 4+ years of experience crafting production-grade server-side web applications and hands-on experience with modern GenAI tools.

They must also be eager to embrace and integrate GenAI into their daily development workflow.

We prioritize simple customer-facing designs, incubating new businesses, and seeking top talent to drive innovation forward.