architect

senior architect

solution architect

ai engineer

ai specialist

architect agentic ai solutions

DICETEK LLC

<div>Description :
Architect Agentic AI Solutions: Design modular systems that integrate LLMs and support multi-step reasoning, retrieval-augmented generation, and tool use.
&sect; AI Model Integration: Select and embed suitable models (e.g., GPT-5, custom LLMs) into scalable platforms.
&sect; Agent Development: Build agents capable of research, summarization, and action execution.
&sect; Infrastructure &amp; Scalability: Use Docker/Kubernetes for containerization and ensure robust monitoring and security.
&sect; Responsible AI Practices: Implement guardrails like content filters, logging, and data protection compliance.
&sect; Customer Collaboration: Translate business needs into technical AI solutions and advise on use cases.
&sect; Continuous Optimization: Analyze agent errors, refine prompts, and improve model performance. 
Skill/Experience/Qualification
Oversee cloud platforms (Azure, AWS) and ensure cost-effective, secure, and compliant operations.
Collaborate with GSO to enforce infrastructure security, identity management, and data protection.
Ensure compliance with regulatory standards (UAE CB | SIA | SAMA)
Champion infrastructure-as-code, CI/CD pipelines, and automation of provisioning and monitoring.
Data Pipeline connectivity &amp; expertise in building optimized, platform-agnostic data pipelines and federated data marts across enterprise. Being able to move data across the sources identified either in a POC or for Production.</div>

Architect Agentic AI Solutions

GSSTech Group

<div>We are seeking an experienced Infrastructure &amp; AI Systems Manager to lead the design, deployment, and optimization of advanced AI-driven infrastructure solutions. The ideal candidate will have deep expertise in cloud architecture, containerization, and AI system integration, with a focus on building scalable, secure, and compliant platforms.
Requirements<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Architect Agentic AI Solutions: Design modular systems integrating LLMs to support multi-step reasoning, retrieval-augmented generation (RAG), and tool use.
</li><li>AI Model Integration: Evaluate, select, and integrate suitable models (e.g., GPT-5 or custom LLMs) into scalable environments.
</li><li>AI Agent Development: Build and maintain intelligent agents for research, summarization, and autonomous task execution.
</li><li>Infrastructure &amp; Scalability: Manage infrastructure using Docker and Kubernetes to ensure high availability, scalability, and reliability.
</li><li>Responsible AI Practices: Implement AI governance, including guardrails, content filters, and compliance with data protection standards.
</li><li>Cloud &amp; Security Management: Oversee cloud operations (Azure, AWS) ensuring cost efficiency, performance, and compliance.
</li><li>Collaboration &amp; Stakeholder Management: Work closely with cross-functional teams and customers to translate business objectives into technical AI solutions.
</li><li>Continuous Optimization: Analyze model performance, refine prompts, and enhance system accuracy and efficiency.
</li><li>Data Engineering: Design and manage data pipelines and federated data marts; ensure seamless data movement and optimization across sources.
</li><li>Automation &amp; DevOps: Champion infrastructure-as-code, CI/CD pipelines, and the automation of provisioning, deployment, and monitoring.
</li></ul><h3 class="jobSectionHeader">Qualifications &amp; Experience:</h3><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.
</li><li>8+ years of experience in infrastructure management, cloud engineering, or AI systems architecture.
</li><li>Proven experience with Docker, Kubernetes, and cloud platforms (AWS, Azure).
</li><li>Solid understanding of AI/ML deployment, RAG systems, and LLM model operations.
</li><li>Familiarity with infrastructure security, identity management, and data protection compliance (UAE CB | SIA | SAMA).
</li><li>Strong hands-on experience with DevOps, CI/CD, and automation frameworks.
</li><li>Excellent problem-solving and communication skills with the ability to collaborate across teams and manage complex technical projects.</li></ul></div>

Job Title: Infrastructure & AI Systems Manager

Amco IT Systems

Responsibilities<ul><li>Design, build, and deploy scalable, robust, and high-impact AI solutions specifically Agentic AI, RAG, GraphRAG, LLM Multimodal Chatbot Solutions , from proof-of-concept to production.</li><li>Mentor and collaborate with other engineers and data teams, helping to establish a culture of technical excellence and innovation.</li><li>Architect and manage AI/ML infrastructure using cloud services (preferably Azure or On-Prem Openshift) and container orchestration platforms like Kubernetes.</li><li>Optimize and scale model deployment, including implementing efficient GPU inferencing pipelines for low-latency, high-throughput applications.</li><li>Establish rigorous frameworks for model evaluation (Evals), validation, and monitoring, ensuring model explainability, fairness, and transparency.</li><li>Champion a modern, collaborative AI development lifecycle; leverage AI coding assistants (e.g., Cursor, Claude Code) to translate detailed Product Requirement Document (PRD) specifications into high-quality code, and enforce a strict PR-based workflow with automated testing for all code contributions.</li><li>Drive the exploration and implementation of Knowledge Graphs (e.g., TigerGraph, Neo4j) and LLMs to model complex biomedical data and power intelligent systems.</li><li>Develop and apply Reinforcement Learning (RL) models to optimize processes within Clinical Decision Support Systems.</li><li>Collaborate with cross-functional teams, including clinicians and product managers, to ensure our AI solutions meet critical needs and integrate seamlessly into clinical workflows using standards like FHIR/HL7.</li></ul>Technical &amp; Functional Skills:<ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related technical field.</li><li>6+ years of experience in AI, machine learning, or data science, with a proven track record of delivering high-impact solutions. Leadership or mentorship experience is highly valued.</li><li>Hands-on experience deploying and scaling machine learning models in production using Kubernetes, with a focus on performance and reliability.</li><li>Experience with optimizing model serving, including GPU inferencing and framework-specific performance tuning.</li><li>Deep understanding of model evaluation techniques, A/B testing, and AI explainability methods (e.g., SHAP, LIME).</li><li>Proficiency or experience with AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code).</li><li>Experience with automated testing frameworks (e.g., pytest, unittest, pydantic) and CI/CD practices for machine learning.</li><li>Expertise in designing or utilizing Knowledge Graphs, with experience in graph databases such as TigerGraph or Neo4j.</li><li>Familiarity with Reinforcement Learning (RL) concepts and their practical application.</li><li>Knowledge of healthcare data standards (FHIR/HL7) is a significant plus.</li><li>Proficiency in Python and common ML/Data Science libraries (e.g., scikit-learn, pandas, PyTorch, TensorFlow).</li><li>Experience with LLMs, NLP techniques, and agentic frameworks (e.g., LangChain, CrewAI, Microsoft Agentic Framework, MCP, A2A ).</li><li>Strong experience with cloud platforms (AWS, Azure, or GCP).</li><li>Excellent communication skills and a collaborative, team-oriented mindset. Critical Skills</li><li>Customer Focused: A passionate drive to delight end users with high quality / scalable solutions.</li><li>Critical Thinking: A thoughtful process of analyzing complex data to reach well-reasoned, effective solutions.</li><li>Team Mentality: Partnering effectively to drive our culture and execute on our common goals.</li><li>Business Acumen: An appreciation and understanding of the healthcare or financial services industry to make sound decisions.</li><li>Learning Agility: An openness to new ways of thinking and acquiring new skills to retain a competitive advantage</li></ul>Job Type: Contract Contract length: 6 monthsApplication Question(s):<ul><li>Do you have at least 6 years of experience in Artificial Intelligence, Machine Learning, or Data Science?</li><li>Do you have hands-on experience in deploying and scaling ML models using Kubernetes or other container orchestration platforms? Please specify which.</li><li>Have you worked with cloud platforms such as Azure, AWS, or GCP? If yes, please mention which and for how long.</li><li>Describe your experience in optimizing GPU inferencing pipelines for AI/ML applications.</li><li>Do you have experience applying Reinforcement Learning (RL) in real-world solutions? If yes, please provide an example.</li><li>What is your current location and availability to join if selected?</li><li>Have you worked on AI solutions in healthcare or clinical domains, especially involving FHIR/HL7 standards?</li><li>What are your salary (AED) expectations (monthly)?</li><li>What is your nationality?</li><li>Do you agree to work on a 6-month (extendable) contract basis?</li><li>Do you hold a valid work permit or visa to work in the job location (e.g., Riyadh, Saudi Arabia)?</li></ul>

Senior AI Engineer / AI Architect

<div>We are seeking a highly skilled Senior DevOps Engineer with experience in architecting and deploying Agentic AI systems. The ideal candidate will have a strong background in DevOps, cloud infrastructure, and modern AI integrations, including LLM-based systems and autonomous agent development.
Requirements<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Architect AI-Driven Systems: Design and implement modular architectures that integrate large language models (LLMs) and support multi-step reasoning, retrieval-augmented generation (RAG), and external tool usage.
</li><li>AI Model Integration: Evaluate, select, and integrate suitable AI models (e.g., GPT-5, custom LLMs) into scalable production environments.
</li><li>Agent Development: Build and deploy intelligent agents capable of research, summarization, task automation, and action execution.
</li><li>Infrastructure &amp; Scalability: Manage containerized environments using Docker and Kubernetes, ensuring high availability, performance, and security.
</li><li>Responsible AI Practices: Establish and maintain content filtering, audit logging, and data protection mechanisms to ensure ethical AI operations.
</li><li>Stakeholder Collaboration: Work closely with cross-functional teams to translate business needs into scalable technical AI solutions.
</li><li>Continuous Optimization: Monitor agent performance, analyze errors, refine prompts, and optimize system behavior for accuracy and efficiency.
</li></ul><h3 class="jobSectionHeader">Requirements:</h3><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.
</li><li>5+ years of experience in DevOps or cloud infrastructure engineering.
</li><li>Strong hands-on experience with Docker, Kubernetes, and CI/CD pipelines.
</li><li>Experience with LLMs, AI model deployment, or MLOps workflows is a strong plus.
</li><li>Knowledge of cloud platforms (AWS, Azure, or GCP) and infrastructure as code (Terraform, Ansible, etc.).
</li><li>Excellent problem-solving skills and the ability to work in a fast-paced, AI-focused environment.
</li></ul><h3 class="jobSectionHeader">Preferred Skills:</h3><ul>
<li>Experience with Python-based AI frameworks and APIs.
</li><li>Familiarity with retrieval systems, vector databases, or RAG pipelines.
</li><li>Understanding of data governance, compliance, and responsible AI principles.</li></ul></div>

Senior DevOps Engineer - AI & Agentic Systems

careem

<div>
About the team: 
The AI Acceleration Office builds the intelligence layer that powers Careem s ecosystem, and we are looking for a Senior Software Engineer to drive architecture and development of it. Our mission is to drive competitive value through an Agentic AI Platform, a system that can design, orchestrate, and manage autonomous AI agents across customer and operational journeys. 
 About the role: 
As a Senior Software Engineer, you ll lead the architecture and development of the AI Agent Creation and Management Platform, an intelligent layer that enables scalable agent creation, orchestration, lifecycle management, and performance monitoring. You ll work acrossbackend systems, AI infrastructure, and data orchestration, designing abstractions that connect LLMs, context, memory, and state into real-time adaptive agents. This is a hands-on leadership role, you ll design systems, ship code, mentor engineers, and influence Careem s long-term AI platform strategy./p&gt;

What you ll do: 
<ul style="">
<li>
Architect and implement the foundational services for Careem s Agentic AI Platform, covering agent creation APIs, orchestration pipelines, state machines, and monitoring layers./p&gt;

</li>
<li>
Design abstractions for multi-agent collaboration, memory persistence, and reasoning cycles integrated./p&gt;

</li>
<li>
Build scalable orchestration frameworks (LangGraph, or custom) that coordinate model calls, context injection, and multi-turn workflows across internal and external agents./p&gt;

</li>
<li>
Develop observability and governance systems for AI agents: tracing, metrics, auditing, and self-healing./p&gt;

</li>
<li>
Integrate LLM-based and retrieval-augmented components into backend services with strict latency, reliability, and compliance requirements./p&gt;

</li>
<li>
Work with data scientists and ML engineers to operationalize models (embedding stores, vector databases, evaluation pipelines, model versioning)./p&gt;

</li>
<li>
Establish standards for agent safety, lifecycle management, and deployment reliability across Careem s product ecosystem./p&gt;

</li>
<li>
Mentor engineers and shape platform-wide engineering practices around AI integration and distributed systems design./p&gt;

</li>
</ul>
What you ll need: 
<ul style="">
<li style="">
6+ years of backend or distributed systems engineering experience, with 2 3 years in AI/ML infrastructure or LLM-based systems./p&gt;

</li>
<li style="">
Deep hands-on experience in Python and Go, with production experience in building scalable, event-driven architectures./p&gt;

</li>
<li style="">
Expertise in orchestration and distributed compute (Kubernetes)./p&gt;

</li>
<li style="">
Experience in building end-to-end event-drive architecture and data pipelines (Kafka, Airflow and Flink)/p&gt;

</li>
<li style="">
Familiarity with agentic frameworks (LangGraph, LangChain, AutoGen) and design of multi-agent or RAG systems./p&gt;

</li>
<li style="">
Experience in integrating LLMs and vector stores (FAISS, Pinecone, Weaviate, Milvus) into backend applications./p&gt;

</li>
<li style="">
Solid understanding of model and agent observability, monitoring, and continuous evaluation./p&gt;

</li>
<li style="">
Strong architectural skills, capable of designing systems that balance scalability, cost, and experimentation velocity./p&gt;

</li>
<li style="">
Experience working with data streaming, metrics, and real-time feedback loops./p&gt;

</li>
<li style="">
Growth mindset and bias for ownership, you thrive in high-autonomy, fast-paced, and purpose-driven environments./p&gt;

</li>
</ul>
</div>

Senior Software Engineer II - AI Platform

Avanade

Come join us
 As a AI Lead, you are responsible for leading people, project, and program management across an entire AI system lifecycle. From requirements gathering through implementation, you will work closely with both internal Avanade employees and client stakeholders to ensure on-time, high-quality project delivery. You will also be responsible for the identification and implementation of continuous improvement initiatives, processes, and tools supporting enhancements in productivity, efficiency, issue resolution, and cost. Together we do what matters.
 Skills and experiences
 <div><ul><li>Education: Bachelor&rsquo;s degree in Computer Science, Engineering, Business, or related field; Master&rsquo;s degree (MBA or MSc) preferred.
</li><li>Experience: 8&ndash;12 years in consulting, AI, or automation leadership, with at least 3 years in client-facing delivery, practice-building, or business development roles .
</li><li>Fluency in English is required; Arabic is an asset.</li></ul></div>
 About you
 <div><ul><li>Demonstrated ability to build and scale practices : setting strategy, creating offerings, recruiting, and growing market share.
</li><li>Proven success in hiring, coaching, and developing top talent &mdash;shaping high-performing teams and fostering career growth.
</li><li>Proven track record of end-to-end solution delivery : defining client problems, designing architectures, and ensuring successful deployment.
</li><li>Hands-on expertise with Azure AI Foundry, Copilot Studio, Power Platform, Python, C#, Semantic Kernel, LangChain, multi-agent architectures, agentic RAG, and MCP servers .
</li><li>Ability to bridge business strategy and technical execution , engaging both C-suite stakeholders and delivery teams.
</li><li>Strong commercial acumen, including pre-sales leadership, RFP response, and business case development .</li></ul></div>
 What you'll do
 <div>Build and Scale the Agentic AI Practice
 
Establish and expand the Agentic AI and Intelligent Automation (IA) practice in Dubai and the GCC&mdash;defining the vision, shaping offerings, building delivery capability, and driving market presence.
Lead Enterprise-Scale Agentic AI Programs
 
Deliver complex multi-agent, cross-platform solutions using Azure AI Foundry, Copilot Studio, Power Platform, and Dynamics 365 , with a strong emphasis on scalability, accuracy, and business value.
Drive Adoption of Agentic AI Frameworks
 
Embed multi-agent architectures, agentic RAG, and MCP servers into client ecosystems&mdash;accelerating automation, insight generation, and decision-making workflows.
Operationalize AI at Scale
 
Implement governance and orchestration frameworks to safely deploy, monitor, and scale AI assistants and Copilot agents across different domains including financial services, healthcare, and government services.
Own Agentic AI Business Development
 
Shape and lead pre-sales activities, RFP responses, and client solutioning , ensuring business development teams are equipped with delivery-led credibility, accelerators, and technical proof points .
Hire, Coach, and Develop Talent
 
Recruit top talent across consulting, engineering, and delivery roles. Mentor, upskill, and grow high-performing teams , embedding a culture of continuous learning and innovation in agentic AI and automation.
Shape AI Strategy with Microsoft Ecosystem
 
Collaborate with senior leaders and stakeholders to align program strategies with Microsoft&rsquo;s evolving stack &mdash;integrating Copilot, Semantic Kernel, LangChain, Fabric, and cloud-native services into enterprise transformation agendas.
Strengthen Governance and Responsible AI
 
Define and implement delivery methodologies, controls, and responsible AI practices to ensure compliance, data security, and ethical AI adoption.
 Build Internal Capability and Accelerators
Develop reusable agentic AI assets, accelerators, and training programs to scale delivery excellence on Azure AI, Copilot Studio, and the Power Platform.
Represent the Firm in Microsoft and Industry Circles
 
Actively engage in Microsoft partner events, industry conferences, and thought leadership forums to showcase innovation and build market authority in Dubai and beyond.
Promote Cross-Practice Synergy
 
Drive collaboration across Data &amp; AI, Intelligent Automation, Business Apps, and Cloud Innovation to deliver integrated, multi-domain client solutions.</div><div></div>
 Enjoy your career
 Some of the best things about working at Avanade: Pathway to work on industry leading programs of work Opportunity to work with global customers A people-first culture that supports innovation to push teams in new directions Quickly turn your ideas to human impact by cultivating a team that will help clients unlock what&rsquo;s next Real-time access to technical and skilled resources globally
 A great place to work
 As you bring your skills and abilities to Avanade, you&rsquo;ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and communities. You&rsquo;ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and to lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It&rsquo;s all here, so take a closer look! Together we do what matters. We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion &amp; Diversity page. Create a future for our people that focuses on: Expanding your thinking Experimenting courageously Learning and pivoting Inspire greatness in our people by Empowering every voice Encouraging boldness Celebrating progress Accelerate the impact of our people by Amazing the client Prioritizing what matters Acting as one

AI Lead

Explore 3769+ Architect agentic ai solutions in Dubai this November. Find roles across top companies and apply now to boost your career.

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Architect Agentic AI Solutions

Architect Agentic AI Solutions

Job Title: Infrastructure & AI Systems Manager

Senior AI Engineer / AI Architect

Senior DevOps Engineer - AI & Agentic Systems

Senior Software Engineer II - AI Platform

AI Lead