43 Microsoft AI jobs in Saudi Arabia

We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.

You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions—from backend infrastructure to prompt optimization.

• LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
• Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
• Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
• MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
• Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
• Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
• Evaluation & Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
• Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.

• Minimum Bachelor’s degree in Computer Science, Data Science, or a related field.
• Strong background in AI/ML, with a focus on generative models.
• Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
• Expertise in prompt engineering and prompt optimization for diverse tasks.
• Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
• Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
• Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
• Proactive mindset with the ability to take ownership of challenges and drive solutions.
• Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.

This is more than just an engineering role. it’s an opportunity to shape the infrastructure and technical future of Lucidya. You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.

We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.

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

Mirai, a Scopely company based in Riyadh, is building transformative AI solutions focused on enhancing productivity, automation, and data-driven decision-making within the company's internal operations and enterprise platforms.

Mirai is a subsidiary of Scopely, a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences such as "MONOPOLY GO!," "Star Trek Fleet Command," "Stumble Guys," "MARVEL Strike Force," and "Yahtzee With Buddies," among others. Recognized multiple times as one of Fast Company's "World's Most Innovative Companies," Scopely is a multi-billion-dollar business due to its ability to create long-lasting interactive experiences that players enjoy for years. Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America, and is home to many internal game development teams, referred to as Scopely Studios, with additional game studio partners across four continents.

Scopely was acquired by Savvy Games Group in July 2023 and is now an independent subsidiary of Savvy. Established in 2021 by Saudi Arabia's Public Investment Fund (PIF), Savvy Games Group is a games and esports company formed with a mission to drive the long-term growth and development of the broader technology and innovation industry worldwide.

We're seeking a talented and experienced Senior AI Engineer to join our growing GenAI team in Riyadh.

Mirai is seeking a seasoned and forward-thinking Senior AI Engineer to design and implement innovative AI systems and solutions that enhance automation, enterprise productivity, knowledge workflows, and decision intelligence across our internal platforms and tools. This role plays a key part in delivering scalable AI features that serve business and operational goals within Mirai and Scopely.

As part of our GenAI team, you will collaborate across disciplines to deploy cutting-edge AI models in production environments, contribute to technical strategy, and champion engineering excellence. This is a hands-on role that combines system design, implementation, and mentorship.

Requirements

AI Systems Development

• Lead the design and deployment of AI-powered systems supporting various internal and product use cases
• Develop scalable and maintainable APIs (e.g., using FastAPI) and integrate AI solutions into backend workflows
• Optimize machine learning models using frameworks such as PyTorch or TensorFlow
• Contribute to infrastructure development using cloud platforms (AWS, GCP, or similar), Docker, and Kubernetes
  
  

• Work closely with engineers, designers, and product stakeholders to translate business requirements into robust AI features
• Actively participate in code reviews, architectural discussions, and project planning
  
  

• Support junior engineers through mentorship, guidance, and knowledge sharing
• Drive best practices in MLOps, software engineering, and deployment
  
  

• Stay current with AI trends and propose applications of new research and technologies within our studio
  
  

• 5+ years of professional experience in AI/ML engineering, data science, or software development
• Strong Python development skills and experience with AI frameworks such as PyTorch or TensorFlow
• Experience building and deploying production-ready APIs and machine learning models
• Familiarity with CI/CD pipelines, version control (Git), and containerized development
• Strong communication and collaboration abilities
• Comfortable working independently and proactively in a fast-paced environment
  
  

• Experience working with LLMs, RAG pipelines, or generative AI solutions
• Exposure to MLOps workflows and tools
• Contributions to open-source projects or technical writing
• Passion for innovation and digital transformation
  
  

• VIP Medical insurance for employee and his parents
• Phone allowance
• Kids education allowance
• Gym allowance.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Other
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Mirai, a Scopely company by 2x

Get notified about new Artificial Intelligence Engineer jobs in Riyadh, Riyadh, Saudi Arabia .

Riyadh, Riyadh, Saudi Arabia 17 hours ago

Riyadh, Riyadh, Saudi Arabia 22 hours ago

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

We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.

You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions—from backend infrastructure to prompt optimization.

• LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
• Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
• Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
• MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
• Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
• Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
• Evaluation & Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
• Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.

• Minimum Bachelor’s degree in Computer Science, Data Science, or a related field.
• Strong background in AI/ML, with a focus on generative models.
• Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
• Expertise in prompt engineering and prompt optimization for diverse tasks.
• Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
• Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
• Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
• Proactive mindset with the ability to take ownership of challenges and drive solutions.
• Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.

This is more than just an engineering role. it’s an opportunity to shape the infrastructure and technical future of Lucidya. You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.

We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.

The purpose of an AI engineer position is to design, develop, and implement artificial intelligence solutions to address complex problems and enhance processes within an organization. This role aims to leverage advanced algorithms, machine learning, and deep learning techniques to create intelligent systems that can analyze data, make predictions, and automate tasks. Ultimately, the AI engineer contributes to technological innovation, improves efficiency, and helps the organization stay competitive by harnessing the power of artificial intelligence in various applications, such as data analysis, image recognition, natural language processing, and more.

Requirements

• Design and optimize machine learning algorithms for specific applications.
• Manage and preprocess large datasets to extract relevant features for training AI models
• Train machine learning models and evaluate their performance through testing
• Use programming languages (e.g., Python, Java) for AI development
• Apply expertise in deep learning frameworks like TensorFlow or PyTorch to build and implement neural networks
• Work closely with cross-functional teams, including data scientists, software engineers, and domain experts
• Analyze complex problems and propose innovative AI solutions to address business challenges
• Stay updated on the latest advancements in AI and integrate new technologies into existing systems
• Ensure AI applications comply with ethical standards and legal regulations
• Prepare comprehensive documentation for algorithms, models, and processes
• Engage in ongoing learning to stay abreast of emerging technologies and industry trends
• Assist in deploying AI models into production environments, ensuring scalability and efficiency.

• Seniority level Mid-Senior level

• Employment type Full-time

• Industries IT Services and IT Consulting

Get notified about new Artificial Intelligence Engineer jobs in Riyadh, Riyadh, Saudi Arabia .

Riyadh, Riyadh, Saudi Arabia 18 hours ago

Riyadh, Riyadh, Saudi Arabia 23 hours ago

Riyadh, Riyadh, Saudi Arabia 23 hours ago

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The Flex is on a mission to transform the global rental sector. We believe that renting a home should be as seamless as buying from Amazon. Our platform empowers tenants to rent anywhere in the world effortlessly, while providing landlords with hassle-free property management—without excessive fees. We are assembling a world-class team of ambitious, growth-minded individuals ready to scale The Flex into a global leader. We reward initiative and promote from within.

As an AI Engineer , you will be at the forefront of integrating artificial intelligence into The Flex’s systems. You’ll build, deploy, and optimize AI-driven tools and models that support operations, customer experience, automation, and decision-making. This is a high-impact role with the potential to shape the future of tech in the real estate industry.

• AI & ML Development: Build and train machine learning models for use cases like pricing optimization, Property Management Tools.

• LLM Integration: Develop and integrate LLM-powered features (e.g., GPT APIs) into internal tools and customer-facing products.

• Automation: Leverage AI to automate repetitive internal tasks, enhance support, and improve user experience.

• Deployment: Package and deploy models into production using modern MLOps tools and cloud infrastructure (preferably AWS).

• Collaboration: Work closely with engineers, product managers, and operations teams to identify and implement impactful AI opportunities.

• Documentation & Maintenance: Ensure reproducibility, versioning, and continuous improvement of all AI models and pipelines.

• Strong problem-solving skills and a proactive mindset.

• Clear communication and a collaborative attitude.

• Ability to thrive in a fast-paced, remote-first startup environment.

• Join an innovative company revolutionizing the real estate and hospitality space.

• Play a key role in building AI products from the ground up.

• Competitive salary and performance-based incentives.

• Growth-oriented culture with fast career progression.

• Work remotely with a flexible schedule and a dynamic team.

• You are looking for a traditional corporate 9 to 5 job.

• You engage in office politics or gossip.

• You want a slow-paced role with no growth.

• You do not strive to be world-class at what you do.

#LI-Remote

We are seeking a talented and motivated AI Engineer (Technical Lead) with deep expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. In this role, you will play a key part in building and optimizing advanced AI solutions to enhance our products and services. You will lead the development and integration of intelligent systems that enable seamless human-computer interaction and drive innovation across teams.

LLM Development & Integration:

• Fine-tune and deploy large language models for applications such as chatbots, content generation, and customer support.
• Continuously evaluate and enhance the performance of LLMs in real-world environments.

NLP System Design:

• Design and implement NLP solutions for tasks including text classification, entity recognition, summarization, and sentiment analysis.
• Work with large datasets to train, validate, and optimize NLP models.
• Collaborate with cross-functional teams to identify and solve language processing challenges.

Speech-to-Text Implementation:

• Build and refine speech-to-text systems for diverse languages and dialects.
• Integrate ASR (automatic speech recognition) systems with LLM and NLP pipelines for seamless end-to-end solutions.
• Stay current with the latest developments in speech recognition technology.

Performance Optimization:

• Optimize model performance for scalability and low-latency applications.
• Address model bias, improve accuracy, and ensure robustness in production environments.

Research & Innovation:

• Monitor emerging trends and advancements in LLMs, NLP, and speech technologies.
• Experiment with and implement cutting-edge research in practical use cases.

Documentation & Collaboration:

• Maintain clear technical documentation for all AI systems, models, and workflows.
• Work closely with software engineers, data scientists, and product teams to align AI solutions with business objectives.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven experience in LLM development using platforms like OpenAI (GPT) or similar.
• Strong understanding of NLP techniques and hands-on experience with libraries such as spaCy, NLTK, or Hugging Face.
• Solid experience with speech recognition technologies (e.g., Google Speech API, Whisper, or similar tools).
• Proficiency in Python, along with experience in TensorFlow, PyTorch, or similar frameworks.
• Excellent problem-solving skills, collaborative approach, and ability to handle multiple projects simultaneously.
• Fluent in Arabic – This role requires Arabic language skills.

We are seeking a talented and motivated AI Engineer (Technical Lead) with deep expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. In this role, you will play a key part in building and optimizing advanced AI solutions to enhance our products and services. You will lead the development and integration of intelligent systems that enable seamless human-computer interaction and drive innovation across teams.

LLM Development & Integration:

• Fine-tune and deploy large language models for applications such as chatbots, content generation, and customer support.
• Continuously evaluate and enhance the performance of LLMs in real-world environments.

NLP System Design:

• Design and implement NLP solutions for tasks including text classification, entity recognition, summarization, and sentiment analysis.
• Work with large datasets to train, validate, and optimize NLP models.
• Collaborate with cross-functional teams to identify and solve language processing challenges.

Speech-to-Text Implementation:

• Build and refine speech-to-text systems for diverse languages and dialects.
• Integrate ASR (automatic speech recognition) systems with LLM and NLP pipelines for seamless end-to-end solutions.
• Stay current with the latest developments in speech recognition technology.

Performance Optimization:

• Optimize model performance for scalability and low-latency applications.
• Address model bias, improve accuracy, and ensure robustness in production environments.

Research & Innovation:

• Monitor emerging trends and advancements in LLMs, NLP, and speech technologies.
• Experiment with and implement cutting-edge research in practical use cases.

Documentation & Collaboration:

• Maintain clear technical documentation for all AI systems, models, and workflows.
• Work closely with software engineers, data scientists, and product teams to align AI solutions with business objectives.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven experience in LLM development using platforms like OpenAI (GPT) or similar.
• Strong understanding of NLP techniques and hands-on experience with libraries such as spaCy, NLTK, or Hugging Face.
• Solid experience with speech recognition technologies (e.g., Google Speech API, Whisper, or similar tools).
• Proficiency in Python, along with experience in TensorFlow, PyTorch, or similar frameworks.
• Excellent problem-solving skills, collaborative approach, and ability to handle multiple projects simultaneously.
• Fluent in Arabic – This role requires Arabic language skills.

Job Overview:
We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. As part of our dynamic team, you will develop, implement, and optimize cutting-edge AI solutions to improve our products and services. Your work will focus on leveraging language models, building NLP systems, and integrating speech-to-text technologies for seamless communication and enhanced user experiences.

Experience: 8+ years

Location:Riyadh, KSA (5 Days work from office)

Working Days: Sunday to Thursday

Language requirement: Must be fluent in Arabic

Key Responsibilities:

• LLM Development & Integration:
• Fine-tune and deploy large language models for specific applications, such as chatbots, content generation, and customer support.
• Evaluate and improve the performance of LLMs in real-world scenarios.
• NLP System Design:
• Design and implement NLP algorithms for tasks like text classification, sentiment analysis, entity recognition, and summarization.
• Work with large datasets to train and validate NLP models.
• Collaborate with cross-functional teams to identify and address language-based challenges.
• Speech-to-Text Implementation:
• Develop and optimize speech-to-text pipelines for various languages and dialects.
• Integrate speech recognition systems with NLP and LLM solutions for end-to-end functionality.
• Stay updated on the latest advancements in automatic speech recognition (ASR).
• Performance Optimization:
• Enhance AI model efficiency for scalability and real-time processing.
• Address biases, improve accuracy, and ensure robustness in all models.
• Research and Innovation:
• Stay abreast of the latest research in LLM, NLP, and speech technologies.
• Experiment with emerging techniques and integrate them into company solutions.
• Documentation and Collaboration:
• Maintain comprehensive documentation for models, processes, and systems.
• Collaborate with product managers, software engineers, and other stakeholders.

• Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven experience in LLM development (e.g., OpenAI, GPT, or similar frameworks).
• Strong understanding of NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face).
• Hands-on experience with speech-to-text systems like Google Speech API, Whisper, or similar technologies.
• Proficiency in programming languages such as Python, along with frameworks like TensorFlow or PyTorch.
• Strong problem-solving skills, a collaborative mindset, and the ability to manage multiple projects simultaneously.