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enterprise ai architect

Nagarro

<div>Job Description 
We are seeking an AI Architecture Leader to design and govern enterprise-scale AI ecosystems for major UAE clients. This role combines technical leadership, solution design, and strategic advisory, focusing on Generative AI, agentic systems, and cloud-native engineering.
Key Responsibilities:<ul><li>
Define enterprise AI operating models, governance, and architectural standards.</li><li>
Lead multi-year AI transformation roadmaps and platform modernization.</li><li>
Architect end-to-end AI ecosystems: LLM agents, RAG workflows, multimodal AI, RLHF.</li><li>
Establish modular, reusable patterns for scalable and compliant AI platforms.</li><li>
Partner with business and tech leaders to shape AI strategy and value propositions.</li><li>
Conduct technical workshops, pre-sales reviews, and solution design sessions.</li></ul>
Must-Have Skills:<ul><li>
AI Application Solution Design (Strong)</li><li>
Cloud-Native GenAI Development (Strong)</li><li>
Data Science on Azure (Strong)</li><li>
Machine Learning Solution Design (Strong)</li><li>
Advanced RAG Workflow Design (Strong)</li><li>
Hands-on Python and experience with agentic GenAI systems.</li></ul>
Nice-to-Have:<ul><li>
Experience with Compass AI services.</li><li>
Arabic language proficiency (verbal &amp; written).</li></ul>
Join us to shape enterprise AI architecture and accelerate digital transformation across the UAE.</div>

Enterprise AI Architect

<div>Job Description 
Design and deliver enterprise-grade AI solutions across LLM, ML, and knowledge engineering domains. Work with engineering teams to build scalable, secure, and cloud-native AI architectures aligned with enterprise standards.
Key Responsibilities:<ul><li>
Architect solutions for LLM agents, RAG pipelines, Conversational AI, AI search, and knowledge systems.</li><li>
Design cloud-native AI platforms on Azure with serverless endpoints, GPU autoscaling, and distributed compute.</li><li>
Implement vector databases with advanced indexing and low-latency retrieval.</li><li>
Translate business vision into secure, compliant AI architectures with monitoring, RBAC, and explainability.</li><li>
Collaborate with stakeholders and communicate technical decisions clearly.</li></ul>
Must-Have Skills:<ul><li>
AI Application Solution Design</li><li>
Cloud-Native GenAI Development</li><li>
Data Science on Azure</li><li>
Machine Learning Solution Design</li><li>
Advanced RAG Workflow</li><li>
Hands-on Python and experience with agentic GenAI systems</li></ul>
Arabic proficiency is a plus.</div>

AI Solution Architect

<div>Job Description 
Lead the engineering, deployment, and scaling of enterprise-grade AI platforms. Build production-ready GenAI, RAG, and ML systems, mentor engineers, and ensure reliability and observability across AI operations.
Key Responsibilities:<ul><li>
Architect and implement Conversational AI, LLM agents, multi-agent workflows, and automation frameworks.</li><li>
Develop APIs/SDKs for enterprise AI services and optimize RAG pipelines with vector DB integrations.</li><li>
Drive MLOps on Azure: CI/CD, monitoring, retraining, and performance tuning.</li><li>
Translate research into applied solutions and lead PoC evaluations.</li><li>
Manage end-to-end delivery, UAT, and production rollout readiness.</li></ul>
Must-Have Skills:<ul><li>
Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design</li><li>
Python (Strong) and advanced RAG Workflow experience</li><li>
Hands-on with agentic workflows and scalable LLM integrations</li></ul>
Arabic proficiency is a plus.</div>

Lead Gen AI Engineer

D4 Insight

<div>Position: Cloud Security Architect 
Location: Abu Dhabi
<h3 class="jobSectionHeader">
Required Skill Set</h3>
<ul>
<li>Strong hands-on expertise in cloud security across Azure, AWS, and multi-cloud environments
</li>
<li>Practical experience with end-to-end encryption, key management systems (KMS), and certificate lifecycle management
</li>
<li>Hands-on exposure to Azure AI, OpenAI, and enterprise AI solution security
</li>
<li>Deep understanding and implementation of Zero Trust security models across cloud workloads
</li>
<li>Proven experience in building and maintaining cloud governance frameworks, compliance standards, and security baselines
</li>
<li>Solid knowledge of DevSecOps practices and secure CI/CD pipeline integration
</li>
<li>Ability to collaborate effectively with Enterprise Architects, DevOps, and AI/ML teams
</li>
<li>Strong experience with Identity &amp; Access Management (IAM), network security, and data protection controls
</li>
<li>Familiarity with cloud security posture management (CSPM) tools and continuous monitoring solutions
</li>
<li>Proficiency in Python or scripting is a plus
</li>
<li>Prior experience in banking or other regulated industries is highly desirable
</li>
</ul> Interested candidates may share their resume at: [email protected]</div>

Cloud Security Architect

Digital Corner for Network Solutions

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are seeking a GenAI Engineer to build the backbone of our AI capabilities. You will focus on the infrastructure, integration, and engineering required to deploy robust Generative AI solutions, leveraging the Azure AI ecosystem.Responsibilities<ul><li>Architect and implement secure, scalable infrastructure for Generative AI applications using Azure AI services.</li><li>Design and build Retrieval-Augmented Generation (RAG) pipelines to ground LLM responses in proprietary enterprise data.</li><li>Manage vector databases and embedding models to support efficient information retrieval.</li><li>Integrate LLM APIs with internal systems, databases, and third-party tools to create functional AI agents.</li><li>Implement guardrails and content filters to ensure AI compliance with corporate security and safety policies.</li><li>Optimize the performance and cost-efficiency of AI model calls and data processing pipelines.</li><li>Collaborate with DevOps teams to establish CI/CD workflows for AI applications.</li></ul>Requirements<ul><li>Experience: 2&ndash;4 years.</li><li>Strong software engineering background with proficiency in Python and API development (REST/GraphQL).</li><li>Deep practical experience with Azure OpenAI, LangChain, Semantic Kernel, or similar frameworks.</li><li>Experience with vector stores (e.g., Pinecone, Milvus, Azure AI Search).</li><li>Solid understanding of cloud infrastructure (Azure), security, and networking.</li><li>Ability to design microservices architectures for AI applications.</li></ul>Bonus<ul><li>Experience fine-tuning LLMs (PEFT, LoRA) for specific domain tasks.</li><li>Knowledge of containerization (Docker, Kubernetes).</li><li>Certification in Azure AI Engineering.</li></ul>Job Type: Full-timePay: AED10,000.00 - AED16,000.00 per month

GenAI Engineer

<div>Position: Senior Cloud DevOps Engineer &ndash; Azure &amp; AI Solutions 
Location: Abu Dhabi
<h3 class="jobSectionHeader">
Role Overview</h3>

We are seeking a highly skilled Senior Cloud DevOps Engineer with strong expertise in Azure and AI platforms to design, deploy, and manage scalable cloud and MLOps solutions. This role will drive automation, governance, security, and end-to-end AI infrastructure delivery.
<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul>
<li>Architect and deploy scalable AI and cloud platforms using Azure VMs, AKS, and Azure Functions
</li>
<li>Administer Azure Subscriptions and Resource Groups with strong governance using Azure Policy, Blueprints, and RBAC
</li>
<li>Automate infrastructure using Terraform through reusable modules, secure state management, and CI/CD integration
</li>
<li>Implement secure networking using Azure Firewall, VNets, NSGs, and Private Endpoints
</li>
<li>Monitor and optimize cloud resources using Azure Advisor, Cost Management, and AWS CloudWatch for hybrid setups
</li>
<li>Deploy and manage ML models using Azure Machine Learning, MLflow, and Azure ML Endpoints
</li>
<li>Build and operate robust MLOps pipelines using Azure DevOps, GitHub Actions, and Terraform
</li>
<li>Containerize and deploy models using AKS, ACI, and optionally Amazon SageMaker
</li>
<li>Track model performance and data drift using Azure Monitor, Application Insights, and Log Analytics
</li>
<li>Integrate Azure Cognitive Services, Azure OpenAI, and optionally AWS Rekognition or Comprehend
</li>
<li>Apply Generative AI engineering principles to build scalable and modular AI solutions
</li>
<li>Collaborate closely with AI, Data Science, UI/UX, and engineering teams for end-to-end delivery
</li>
<li>Create documentation standards and reusable templates for AI and infrastructure projects
</li>
<li>Apply DevOps best practices using Docker, CI/CD pipelines, and Infrastructure as Code
</li>
<li>Ensure compliance with enterprise policies, security standards, and service guidelines
</li>
</ul><h3 class="jobSectionHeader">Ideal Candidate Profile</h3>
<ul>
<li>5+ years of hands-on experience in Azure-based cloud and AI solution delivery
</li>
<li>Strong expertise in Terraform, including module development, remote state management, and CI/CD integration
</li>
<li>Proven experience in cloud infrastructure, MLOps, containerization, and DevOps automation
</li>
<li>Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, Statistics, or related field (Master&rsquo;s preferred)
</li>
<li>Azure certifications such as AZ-104, AZ-305, or DP-100 are a strong advantage
</li>
<li>Exposure to both Azure and AWS environments
</li>
<li>Strong skills in data preparation, feature engineering, and large-scale dataset handling
</li>
<li>Ability to convert technical insights into clear business value
</li>
<li>Experience working cross-functionally with engineering, product, and business teams
</li>
</ul> Interested candidates can share their resume at: [email protected]</div>

Senior Cloud DevOps Engineer – Azure & AI Solutions

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are seeking a highly skilled BI Architect to design robust, scalable data architectures. You will be responsible for the technical foundation of our analytics platform, ensuring it is secure, performant, and capable of handling enterprise-scale data.Responsibilities<ul><li>Design the end-to-end architecture for Business Intelligence solutions, including data models, ETL pipelines, and semantic layers.</li><li>Define and enforce technical standards, data governance, and security protocols for all BI implementations.</li><li>Select and evaluate appropriate technology stacks and tools to meet business requirements.</li><li>Collaborate with Data Engineers to ensure efficient data ingestion and transformation (ETL) processes.</li><li>Optimize data warehouse and reporting performance to ensure fast query response times.</li><li>Create and maintain detailed architectural documentation, including data flow diagrams and system integration maps.</li><li>Ensure scalability of the BI environment to support growing data volumes and user concurrency.</li></ul>Requirements<ul><li>5&ndash;15 years of experience in BI Architecture and Data Engineering.</li><li>Deep expertise in designing data warehouses, data marts, and star/snowflake schemas.</li><li>Strong proficiency in SQL and experience with enterprise BI tools (PowerBI, Tableau, etc.).</li><li>Experience with cloud platforms (e.g., Azure, AWS) and modern data architectures (Data Lakehouse, Mesh).</li><li>Solid understanding of data security, Single Sign-On (SSO), and role-based access control.</li><li>Ability to lead technical teams and mentor developers on architectural best practices.</li></ul>Bonus<ul><li>TOGAF or DAMA certifications.</li><li>Experience designing BI solutions for large-scale industrial operations.</li><li>Knowledge of AI/ML integration within BI architectures.</li></ul>Job Type: Full-timePay: AED12,000.00 - AED22,000.00 per month

Business Intelligence Architect

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