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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

Luxoft

<div>
 
 
 About the project:
 
 
 
 We are seeking an experienced Power Platform Lead to architect, implement, and govern the enterprise-wide automation and low-code initiatives using Microsoft's Power Platform ecosystem (Power Apps, Power Automate, Power BI, Copilot Studio, and Dataverse).
 
 
 The ideal candidate will be responsible for driving end-to-end automation delivery, defining fitment and adoption strategy, and ensuring alignment between business needs and technology solutions. This role demands a blend of technical depth, leadership maturity, and stakeholder engagement skills to transform automation practices across the organization.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 Automation Architecture &amp; Platform Leadership
 
 
 &bull; Architect, design, and implement enterprise-grade automation solutions using Power Apps, Power Automate, and Copilot Studio.
 
 
 &bull; Define and enforce Power Platform governance, solution design principles, and environment strategies.
 
 
 &bull; Oversee implementation of Dataverse data models, connectors, and integration logic for cross-system workflows.
 
 
 &bull; Manage lifecycle of Power Platform solutions from ideation to productionization, ensuring scalability, performance, and compliance.
 
 
 Enterprise Integration &amp; Fitment Definition
 
 
 &bull; Lead fitment assessment discussions for new business process automation use cases.
 
 
 &bull; Evaluate system interdependencies and define integration architecture between Power Platform, ERP, CRM, and custom applications.
 
 
 &bull; Collaborate with enterprise architects to establish integration patterns leveraging APIs, Microsoft Graph, and Azure connectors.
 
 
 &bull; Drive adoption of Copilot Studio agents for conversational automation and AI-based process augmentation.
 
 
 Leadership &amp; Delivery Management
 
 
 &bull; Lead cross-functional low-code development teams, ensuring technical quality and delivery efficiency.
 
 
 &bull; Define delivery frameworks, reusable components, and best practices for citizen and professional developers.
 
 
 &bull; Mentor team members on design, reusability, and governance across environments (Dev, Test, Prod).
 
 
 &bull; Act as the technical authority and escalation point for Power Platform development challenges.
 
 
 Stakeholder Engagement &amp; Business Partnership
 
 
 &bull; Engage with business stakeholders to translate process requirements into technical automation blueprints.
 
 
 &bull; Facilitate workshops and design sessions to identify automation opportunities and evaluate ROI.
 
 
 &bull; Communicate solution strategies and progress to executive and business sponsors.
 
 
 &bull; Ensure alignment of Power Platform strategy with organizational digital transformation roadmap.
 
 
 Innovation &amp; Continuous Improvement
 
 
 &bull; Promote AI-infused automation, leveraging Microsoft Copilot and AI Builder capabilities.
 
 
 &bull; Identify opportunities to optimize cost, performance, and maintainability of solutions.
 
 
 &bull; Stay abreast of Microsoft Power Platform roadmap and integrate emerging features proactively.
 
 
 &bull; Foster a culture of reusability and low-code enablement across business functions.
 
 
 
 
 
 
 Skills Description:
 
 
 
 &bull; Bachelor's or Master's degree in Computer Science, Information Systems, or related discipline.
 
 
 &bull; 10+ years of overall experience in application development and 5+ years in Power Platform technical lead position.
 
 
 &bull; Proven expertise in Microsoft Power Platform &mdash; Power Apps (Canvas &amp; Model-driven), Power Automate, Power BI, Dataverse, and Copilot Studio.
 
 
 &bull; Strong understanding of automation fitment, governance frameworks, and Center of Excellence (CoE) models.
 
 
 &bull; Hands-on experience integrating Power Platform with SharePoint, Azure, SQL Server, and enterprise systems (Oracle/CRM).
 
 
 &bull; Proficiency in PowerFX, SQL, and basic scripting for automation orchestration.
 
 
 &bull; Demonstrated experience in leading multi-team delivery, managing sprints, and ensuring high-quality output.
 
 
 
 
 
 
 Nice-to-have skills:
 
 
 
 &bull; Strong stakeholder management and executive communication.
 
 
 &bull; Ability to bridge business needs with technology capabilities.
 
 
 &bull; Excellent problem-solving, decision-making, and conflict-resolution skills.
 
 
 &bull; Strategic thinker with a delivery-focused mindset.
 
 
 &bull; Proven leadership in team mentorship and talent development
 
 
 
 
 
 Preferred Certifications
 
 
 &bull; Microsoft Certified: Power Platform Solution Architect Expert (PL-600)
 
 
 &bull; Microsoft Certified: Power Platform Developer (PL-400)
 
 
 &bull; Microsoft Certified: Power Platform Functional Consultant (PL-200)
 
 
 &bull; Microsoft Certified: Power Platform Fundamentals (PL-900)
 
 
 
 
 
 
 Languages:
 
 
 <ul>
 <li>
 English: C1 Advanced
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What we offer
 
 
 <ul>
 <li>
 Luxoft Training Center (more than 400 professional training programs, the High Performers Club)
 </li>
 <li>
 Self-Learning Library
 </li>
 <li>
 Internal Mobility (rotation between projects and accounts, new career opportunities)
 </li>
 <li>
 Global Relocation
 </li>
 <li>
 Mentoring Program (professional career development for leaders)
 </li>
 <li>
 Recognition and Evaluation (feedback culture, regular appraisals)
 </li>
 <li>
 Professional Communities (join one of our many internal communities: Agile Community, Tech Community, Business Analysis Community, etc.)
 </li>
 <li>
 Team Events (take part in the many fun social activities organized by the Luxoft team in Serbia
 </li>
 </ul>
 
 
 
 
 
 Luxoft is committed to fostering a diverse and inclusive workplace.
 
 
 
 
 We show fairness to all throughout our talent acquisition and management process.
 
 
</div>

Automation Power Platform Lead (Data&AI)

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

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