22 AI Architect jobs in Qatar

Design and deliver enterprise-grade AI solutions tailored to sports, healthcare, and education, driving innovation and real-world impact.

Key Responsibilities:

• Architect scalable AI/ML solutions using Azure AI Foundry, Google Agent Builder.

• Integrate AI systems with ERP, CRM, medical, and sports performance platforms.

• Implement governance frameworks for AI transparency, compliance, and ethics.

• Apply NLP, computer vision, predictive analytics, and multi-agent systems to optimize outcomes.

• Define KPIs, monitor performance, and track ROI of AI deployments.

Requirements:

• 8+ years in solution architecture, 4+ in applied AI/ML.

• Bachelor's in AI, Data Science, Computer Science, or Engineering.

• Certifications: Microsoft AI Architect, Azure AI Foundry, Google Cloud AI/ML.

• Expertise in RAG, knowledge graphs, SQL/NoSQL/vector DBs.

• Strong ability to translate business cases into applied AI solutions.

• Design & Integration: Lead the design of scalable AI architectures that seamlessly integrate with existing enterprise systems, directly addressing complex industrial challenges.
• Customization & Prototyping: Develop tailored AI models and proof-of-concept prototypes that demonstrate clear business value and operational impact.
• Feasibility Analysis: Conduct technical feasibility assessments to validate solution designs and ensure alignment with strategic business requirements.
• End-to-End Management: Oversee the full lifecycle of AI projects—from initial scoping and conceptualization to deployment and post-implementation support—ensuring timely delivery and budget adherence.
• Stakeholder Collaboration: Engage closely with client representatives, internal R&D teams, and technical staff to maintain clear communication and alignment on objectives, deliverables, and timelines.
• Risk & Quality Assurance: Implement effective risk management strategies while maintaining rigorous quality standards throughout project execution.

• Pre-Sales Expertise: Serve as the technical authority during pre-sales activities, articulating the capabilities of Beyond Limits’ platforms, frameworks, and products to prospective clients.
• Partner Selection & Training: Identify and select the right delivery partners, then train and support them on our technologies to ensure they meet our high technical standards.
• Collaborative Oversight: Work in close partnership with delivery leads and external developers to manage project development, ensuring seamless integration and successful client outcomes.

• Strategic Advisory: Provide high-level consulting on AI strategies and digital transformation roadmaps that empower clients to gain competitive advantages.
• Process Optimization: Analyze and reengineer business processes with AI-driven enhancements to boost operational efficiency and drive measurable results.
• Change Management: Lead change initiatives by advising on best practices for technology adoption and delivering targeted training to upskill client teams.

• Bachelor’s in computer science, Software Engineering, or related.
• 10+ years managing software engineering, AI, or data analytics projects in Oil & Gas or similar heavy industries.
• Demonstrated success in managing and aligning diverse stakeholders.
• Communication: Articulate technical concepts—architecture diagrams, code quality metrics—to both technical and non technical audiences.
• Analytical: Extract insights from performance metrics, error rates, and project KPIs to drive continuous improvement.
• Problem Solving: Quickly diagnose system failures, code regressions, and data pipeline issues, and lead resolution.
• Deep expertise in Agile methodologies (Scrum, Kanban) and a solid grasp of Waterfall practices.
• Hands-on experience with tools such as Jira, Confluence, CI/CD pipelines (e.g., Jenkins, GitLab CI), and cloud platforms (OCI, GCP).
• Solid understanding of the architectural and operational differences between cloud-native and on-premises software environments.
• Fluent in both Arabic and English.
• Must be eligible and authorized to work in the Doha (Qatar).

• MSC or PhD is a plus
• Proven experience in enterprise technology consulting and managing complex AI solution deployments, particularly within industrial or high-tech sectors.
• Deep technical expertise in AI frameworks, platforms, and integration methodologies.
• Demonstrated success in technical pre-sales support and in managing strategic partner ecosystems.
• Strong leadership, project management, and stakeholder engagement skills, with a track record of delivering transformative digital solutions.

Beyond Limits is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.

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Overview

Join to apply for the Partner Solution Architect - Cloud & AI role at Microsoft

Microsoft has a dynamic and influential partner ecosystem that plays a critical role in driving growth and delivering successful outcomes for customers. This diverse ecosystem spans global strategic ISVs, industry-focused ISVs, systems integrators at every scale—global, regional, and local—as well as advisory firms and Microsoft Channel Partners. These partners bring a wealth of expertise, solutions, and services to the table, powered by the Microsoft Cloud, helping customers to achieve their digital transformation goals.

Microsoft Enterprise Partner Solutions (EPS) is the commercial organization accountable for driving Microsoft’s growth and success for customers through ISVs and Enterprise System Integrators. EPS defines and executes global partner ecosystem strategy with a focus on the entire partner lifecycle—ensuring seamless collaboration that empowers Microsoft to help customers achieve their digital transformation objectives.

As a Partner Solutions Architect, you will leverage your challenger mindset, deep technical leadership, understanding of the competitive landscape, and best in class interpersonal skills to grow our robust ecosystem of world class partners enabling them to bring market-making and scalable business solutions to our customers.

• Guide Solution Development & Activation - You’ll lead the development and activation of new or enhanced partner offerings that align with Microsoft Cloud priorities. Your focus will be on ensuring these solutions are robust, scalable, secure, and tailored to meet evolving customer needs.
• Empower Innovation - You’ll run technical innovation workshops, tech briefings, and envisioning sessions to build technical intensity across partner teams. By collaborating with engineering and product teams, you’ll help accelerate the adoption of emerging technologies and shape partner offerings that align with both business goals and technical requirements.
• Strategic Sales Enablement - You’ll play a key role in activating transformational deals by providing architectural guidance, resolving technical blockers, and enhancing solution design. Your work will directly contribute to workload consumption and revenue impact.
• Champion Technical Excellence - You’ll guide partners through architecture design sessions, proof-of-concepts, and MVP builds. You’ll ensure that solutions follow Microsoft’s Cloud and AI best practices and are optimized for performance, scalability, and security.
• Thought Leadership & Stakeholder Management - You’ll build long-term engagements with strategic partners, influencing their adoption of Microsoft technologies. You’ll develop deep technical relationships with CXOs and foster executive alignment to support joint success.
• Partner Enablement & Business Acumen - You’ll coach broader partner technical teams to ensure pre-sales, deployment, and consumption are embedded in solution development. You’ll help partners build resilience to technical challenges, navigate competitive landscapes, and translate technical concepts into business value.

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 10+ years experience in cloud/infrastructure/SaaS technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
• OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure/SaaS technologies, technology solutions, practice development, architecture, and/or consulting
• OR equivalent experience
• Proven experience in cloud architecture, solution design, and partner enablement, particularly in large-scale or global engagements
• Demonstrated ability to lead technical innovation workshops, architecture reviews, and build-to-consume engagements with partners
• 8-10+ Years of related experience in technology IP solutions or services development, with a deep understanding of digital transformation business drivers, cloud platforms, and emerging Cloud Infra for AI trends
• Strong background and in-depth knowledge of cloud technologies, with a focus on Microsoft's Azure Infrastructure (Compute, Storage, Networking, Security and Management)
• Technical Certification in Cloud Infra (e.g., Azure, Amazon Web Services, Google)

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

• Not Applicable

• Full-time

• Engineering and Information Technology
• Industries
• Software Development

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Job Summary
You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.

You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains.

Job Objectives

• Develop and implement advanced predictive models to optimize customer experiences and other business outcomes.
• Analyze large and complex datasets to extract actionable insights and drive business decisions.
• Interpret results and provide actionable insights to guide real-time decision-making within the business context.
• Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.

Job Responsibilities
Predictive Modeling and Deployment

• Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand.
• Utilize predictive modeling to optimize customer experiences and other business outcomes.
• Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency.

Data Preparation and Analysis

• Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs.
• Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions.
• Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated.

Model Deployment and Interpretation

• Deploy models into production environments and monitor their performance over time.
• Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems.
• Interpret results, develop insights within the business context, and provide guidance on risks and limitations

Development & Documentation

• Write the code as per agreed software design rules to keep it aligned with the rest of the code base.
• Code the final implementation that the generated code is referring to.
• Follow company software data protection and security guidelines in developing software.
• Accurately estimate the time needed to complete an assigned task.
• Identify possible causes of issues or problems.
• Think through and recommend solutions when raising issues around code, requirements, etc.
• Write technical design documentation that fully defines all application code.
• Maintain detailed knowledge of iHorizons products and services.
• Understand the business impact for labs outcomes.

Collaboration & Team Guidance

• Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort.
• Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders.
• Collaborate with other teams to perform code reviews and oversee proper deployment for new releases.
• Actively mentor and support mid-level and junior developers in their professional growth.
• Provide guidance on best practices in machine learning, code reviews, and project design.
• Foster an inclusive and collaborative environment that encourages continuous learning and development within the team.
• Oversee interactions with vendors and third-party service providers, including collaborating on the design and implementation of technical architectures, and acting as a point of contact for resolving technical issues. Maintain clear communication with internal stakeholders regarding vendor-related activities, updates, and issues to facilitate smooth collaboration and decision-making processes.

Job Requirements
Educational Qualification

• Bachelor's degree in data science, statistics, and computer science is a MUST.
• Google Cloud - Professional Machine Learning Engineer Certificate
• Google AgentSpace implementation experience

Previous Work Experience

• 3-4+ Years of experience in data science or machine learning.
• Must have strong experience in at least one of the following areas:
• Vision models
• NLP models (Experience in Arabic NLP is a huge plus)

Skills And Abilities

• Proficient in python, TensorFlow, keras and pytorch.
• Good experience in:
• SQL and non-relational databases.
• Data analytics reports generation.
• ML model development deployment.

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Main tasks and responsibilities (the position exists to perform the below functions and essential activities)

Build and optimize web applications from the front end to the back end.

Integrate user-facing elements using server-side logic and connecting the application with the cloud infrastructure.

Design and implement databases to store and retrieve data efficiently.

Optimize database performance and ensure data integrity.

Develop data pipelines for ETL (Extract, Transform, Load) processes.

Design, develop, and implement machine learning models to solve specific business problems using algorithms suitable for the task.

Identify and select relevant features or variables that contribute to the performance of machine learning models.

Analyse and understand large data sets to identify patterns, trends, and insights relevant to business goals.

Clean and prepare raw data for analysis, ensuring data quality and handling missing and inconsistent information.

Integrate and process data from various sources to support business needs.

Implement security measures for cloud-based solutions, including access controls, encryption, and compliance with industry standards. Monitor and optimize the performance of cloud-based applications and infrastructure.

Identify and address bottlenecks to ensure optimal system performance.

Collaborate with cross-functional teams, including other developers, data scientists, and system administrators.

Communicate technical concepts effectively to non-technical stakeholders.

Adhere to agile development methodologies and participate in sprint planning, reviews, and retrospectives.

Develop and maintain database architectures using MSSQL.

Collaborate with stakeholders to gather and comprehend business requirements for data collection and analysis.

Perform data validation to ensure accuracy, completeness, and consistency of data.

Analyse data sets, generate insights, and create reports using Power BI or similar tools.

Utilize Python for data manipulation, analysis, and automation tasks.

Integrate and work with various APIs for data extraction and manipulation.

Oryx Universal College in partnership with Liverpool John Moores University | Full time

We are seeking a highly skilled and innovative Artificial Intelligence and Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI and ML models that drive impactful solutions across various domains, including education, data analytics, automation, and smart systems. You will work alongside interdisciplinary teams to integrate cutting-edge technologies into practical applications, transforming data into intelligent action.

Key Responsibilities:

• Design, train, evaluate, and deploy machine learning and deep learning models
  
• Build and maintain scalable AI solutions for real-time or batch processing systems.
  
• Optimise model performance, including accuracy, latency, and resource consumption.
  
• Collaborate with data engineers and analysts to source, clean, and transform data.
  
• Apply advanced statistical and data mining techniques to extract meaningful patterns.
  
• Stay updated with the latest advancements in AI and ML technologies.
  
• Prototype innovative solutions, contribute to research publications, and recommend adoption of new frameworks.
  
• Systems Integration
  
• Develop APIs and services to integrate AI solutions into existing platforms or applications.
  
• Collaborate with software engineers and DevOps teams to ensure production-level stability.
  
• Work closely with academic and operational teams to understand business needs and translate them into technical solutions.
  
• Prepare documentation, reports, and presentation materials to communicate findings and methodologies.
  

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (Master’s or PhD preferred).

Minimum 3 years of hands-on experience in AI/ML engineering or data science roles.

Proficient in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).

Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP), and computer vision.

Experience in model deployment using cloud platforms (e.g., AWS, Azure, GCP) or containerised environments (Docker, Kubernetes).

Knowledge of MLOps tools and CI/CD pipelines for ML projects.

Familiarity with big data platforms (e.g., Spark, Hadoop).

Experience with academic or educational systems (LMS, AI in education) is a plus.

Demonstrated contributions to open-source projects, research publications, or hackathons.