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senior azure ai infrastructure architect

Acenet

Role OverviewAceNet is seeking a Senior Azure AI Infrastructure Architect to lead the design, governance, security, and operationalization of AI infrastructure on Microsoft Azure.Operating within a centralized Cloud Center of Excellence (CoE), this role will act as the enterprise platform authority for Azure AI services. The architect will partner closely with application teams, data scientists, security, networking, and operations teams to provision, secure, optimize, and transition AI solutions into production at scale.This is a senior-level role requiring deep Azure expertise, strong governance orientation, and the ability to enable AI innovation within a controlled, secure enterprise framework.Key Responsibilities <ul><li>Design and maintain enterprise-grade Azure AI resources.</li><li>Architect infrastructure for Azure OpenAI, Azure Machine Learning, Azure AI Services, GPU-based compute environments, and AKS for AI workloads.</li><li>Define subscription strategy, resource group structure, tagging standards, and naming conventions aligned with CoE governance.</li><li>Design secure networking architectures including VNET segmentation, Private Endpoints, Firewall, and NSGs.</li><li>Continuously monitor and improve security posture using Microsoft Defender for Cloud and related tools.</li><li>Implement least-privilege RBAC models and ensure secure identity integration.</li><li>Enforce governance controls using Azure Policy and Management Groups.</li><li>Review AI solution architectures and participate in architecture review boards.</li><li>Monitor and optimize AI workload costs using Azure Cost Management and FinOps practices.</li><li>Implement Infrastructure as Code using Terraform (preferred), Bicep, or ARM templates.</li><li>Support CI/CD pipelines and controlled change and release management processes.</li><li>Develop operational runbooks and ensure smooth transition of AI services to operations teams.</li><li>Act as the primary AI infrastructure advisor within the Cloud CoE and guide stakeholders on best practices.</li></ul>Required Skills &amp; Experience <ul><li>Deep hands-on expertise in Microsoft Azure and Azure AI services.</li><li>Strong experience designing AI landing zones and enterprise cloud architectures.</li><li>Advanced knowledge of Azure networking (VNETs, Private Link, Hybrid connectivity).</li><li>Strong expertise in Azure RBAC, Entra ID, Managed Identities, Azure Policy, and Key Vault.</li><li>Experience with Microsoft Defender for Cloud and enterprise security monitoring.</li><li>Hands-on experience with Infrastructure as Code and CI/CD pipelines.</li><li>Strong FinOps mindset and experience managing Azure cost optimization.</li><li>10+ years in IT infrastructure/cloud architecture.</li><li>5+ years of hands-on Azure architecture experience.</li><li>Experience operating within a centralized Cloud CoE model.</li></ul>Job Type: Full-time

Senior Azure AI Infrastructure Architect

Acenet consulting

<div><div>Experience: 10 to 20 years
 
Location: Abu Dhabi
 
Job code: 101444
 
Posted on: Mar 05, 2026 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
Job Summary 
We are seeking a Senior Azure AI Infrastructure Architect to lead the design, governance, security, and operationalization of AI infrastructure on Microsoft Azure. Operating within a centralized Cloud Center of Excellence (CoE), this role will act as the enterprise platform authority for Azure AI services. The architect will partner closely with application teams, data scientists, security, networking, and operations teams to provision, secure, optimize, and transition AI solutions into production at scale.
<div>Key Responsibilities: 
<ul><li>Design and maintain enterprise-grade Azure AI resources.
</li><li>Architect infrastructure for Azure OpenAI, Azure Machine Learning, Azure AI Services, GPU-based compute environments, and AKS for AI workloads.
</li><li>Define subscription strategy, resource group structure, tagging standards, and naming conventions aligned with CoE governance.
</li><li>Design secure networking architectures including VNET segmentation, Private Endpoints, Firewall, and NSGs.
</li><li>Continuously monitor and improve security posture using Microsoft Defender for Cloud and related tools.
</li><li>Implement least-privilege RBAC models and ensure secure identity integration.
</li><li>Enforce governance controls using Azure Policy and Management Groups.
</li><li>Review AI solution architectures and participate in architecture review boards.
</li><li>Monitor and optimize AI workload costs using Azure Cost Management and FinOps practices.
</li><li>Implement Infrastructure as Code using Terraform (preferred), Bicep, or ARM templates.
</li><li>Support CI/CD pipelines and controlled change and release management processes.
</li><li>Develop operational runbooks and ensure smooth transition of AI services to operations teams.
</li><li>Act as the primary AI infrastructure advisor within the Cloud CoE and guide stakeholders on best practices.
</li></ul> 
Role Requirements and Qualification: 
<ul><li>10+ years in IT infrastructure/cloud architecture.
</li><li>5+ years of hands-on Azure architecture experience.
</li><li>Experience operating within a centralized Cloud CoE model.
</li><li>Deep hands-on expertise in Microsoft Azure and Azure AI services.
</li><li>Strong experience designing AI landing zones and enterprise cloud architectures.
</li><li>Advanced knowledge of Azure networking (VNETs, Private Link, Hybrid connectivity).
</li><li>Strong expertise in Azure RBAC, Entra ID, Managed Identities, Azure Policy, and Key Vault.
</li><li>Experience with Microsoft Defender for Cloud and enterprise security monitoring.
</li><li>Hands-on experience with Infrastructure as Code and CI/CD pipelines.
</li><li>Strong FinOps mindset and experience managing Azure cost optimization.
</li></ul></div><div>Preferred Certifications:
 
<ul><li>Microsoft Certified: Azure Solutions Architect Expert
</li><li>Microsoft Certified: Azure Security Engineer Associate
</li><li>Microsoft Certified: Azure AI Engineer Associate
</li><li>Microsoft Certified: Azure Administrator Associate
</li></ul></div><div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

AceNet

<div>
 
 About Us:
 
 
 AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
 
 
 Job Summary
 
 
 We are seeking a Senior Azure AI Infrastructure Architect to lead the design, governance, security, and operationalization of AI infrastructure on Microsoft Azure. Operating within a centralized Cloud Center of Excellence (CoE), this role will act as the enterprise platform authority for Azure AI services. The architect will partner closely with application teams, data scientists, security, networking, and operations teams to provision, secure, optimize, and transition AI solutions into production at scale.
 
 
 Key Responsibilities:
 
 
 * Design and maintain enterprise-grade Azure AI resources.
 
 
 * Architect infrastructure for Azure OpenAI, Azure Machine Learning, Azure AI Services, GPU-based compute environments, and AKS for AI workloads.
 
 
 * Define subscription strategy, resource group structure, tagging standards, and naming conventions aligned with CoE governance.
 
 
 * Design secure networking architectures including VNET segmentation, Private Endpoints, Firewall, and NSGs.
 
 
 * Continuously monitor and improve security posture using Microsoft Defender for Cloud and related tools.
 
 
 * Implement least-privilege RBAC models and ensure secure identity integration.
 
 
 * Enforce governance controls using Azure Policy and Management Groups.
 
 
 * Review AI solution architectures and participate in architecture review boards.
 
 
 * Monitor and optimize AI workload costs using Azure Cost Management and FinOps practices.
 
 
 * Implement Infrastructure as Code using Terraform (preferred), Bicep, or ARM templates.
 
 
 * Support CI/CD pipelines and controlled change and release management processes.
 
 
 * Develop operational runbooks and ensure smooth transition of AI services to operations teams.
 
 
 * Act as the primary AI infrastructure advisor within the Cloud CoE and guide stakeholders on best practices.
 
 
 
 
 
 
 
 
 Role Requirements and Qualification
 
 
 * 10+ years in IT infrastructure/cloud architecture
 
 
 * 5+ years of hands-on Azure architecture experience
 
 
 * Experience operating within a centralized Cloud CoE model
 
 
 * Deep hands-on expertise in Microsoft Azure and Azure AI services
 
 
 * Strong experience designing AI landing zones and enterprise cloud architectures
 
 
 * Advanced knowledge of Azure networking (VNETs, Private Link, Hybrid connectivity)
 
 
 * Strong expertise in Azure RBAC, Entra ID, Managed Identities, Azure Policy, and Key Vault
 
 
 * Experience with Microsoft Defender for Cloud and enterprise security monitoring
 
 
 * Hands-on experience with Infrastructure as Code and CI/CD pipelines
 
 
 * Strong FinOps mindset and experience managing Azure cost optimization
 
 
 Preferred Certifications
 
 
 * Microsoft Certified: Azure Solutions Architect Expert
 
 
 * Microsoft Certified: Azure Security Engineer Associate
 
 
 * Microsoft Certified: Azure AI Engineer Associate
 
 
 * Microsoft Certified: Azure Administrator Associate
 
 
 
 
 
 Why Join Us
 
 
 * Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors
 
 
 * Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling
 
 
 * Competitive compensation &amp; benefits, ESOPs and international assignments
 
 
 * Supportive environment with healthy work-life balance and a focus on employee well-being
 
 
 * Open culture that values diverse perspectives, encourages transparent communication and rewards contributions
 
 
 
 
 
 .
 
</div>

Delphi Consulting Middle East

<div>
 
 We are looking for a GenAI Architect to lead the enterprise-scale architecture of our Agentic AI platform. This role blends distributed systems, applied AI, and platform engineering to deliver secure, scalable, production-grade GenAI solutions.
 
 
 The ideal candidate is tool-agnostic and architecture-focused, with the ability to combine Microsoft&rsquo;s AI ecosystem with best-in-class open-source frameworks.
 
 
 
 
 
 
 What You Will Do
 
 
 
 
 
 
 
 Agentic System Architecture
 
 
 <ul>
 <li>
 Architect and implement multi-agent systems using frameworks such as Semantic Kernel, Microsoft Agent Framework, LangGraph, CrewAI, or AutoGen
 </li>
 <li>
 Design hybrid orchestration combining agentic reasoning and deterministic workflows
 </li>
 <li>
 Implement agent-to-agent communication and Model Context Protocol for tool discovery and invocation
 </li>
 </ul>
 
 
 Retrieval, Reasoning, and Knowledge Systems
 
 
 <ul>
 <li>
 Build enterprise-grade RAG and Agentic-RAG pipelines using Azure AI Search or open-source vector platforms such as LlamaIndex, Haystack, Milvus, Weaviate, or Qdrant
 </li>
 <li>
 Enable multi-hop reasoning across structured and unstructured data
 </li>
 <li>
 Integrate with Microsoft Fabric, Dataverse, Cosmos DB, and enterprise data lakes
 </li>
 </ul>
 
 
 AI Governance, Safety, and Observability
 
 
 <ul>
 <li>
 Design governance layers for prompt filtering, PII protection, content moderation, and policy enforcement
 </li>
 <li>
 Implement observability for prompts, agent actions, cost, latency, and risk
 </li>
 <li>
 Use tools such as Microsoft Purview, AI Content Safety, Guardrails AI, NeMo Guardrails, Arize Phoenix, LangSmith, MLflow, or OpenTelemetry
 </li>
 </ul>
 
 
 LLMOps and Model Infrastructure
 
 
 <ul>
 <li>
 Own the full LLM lifecycle including prompt flows, routing, evaluation, versioning, and deployment
 </li>
 <li>
 Work with Azure OpenAI and open-source models such as Llama, Mistral, and Qwen
 </li>
 <li>
 Build CI/CD pipelines using GitHub Actions, Azure DevOps, MLflow, BentoML, or similar
 </li>
 <li>
 Design scalable inference on Kubernetes and cloud using vLLM, TGI, KubeRay, SkyPilot, or managed services
 </li>
 </ul>
 
 
 Backend and Integration
 
 
 <ul>
 <li>
 Build AI control planes in Python (FastAPI, asyncio, Pydantic) and/or C# (.NET)
 </li>
 <li>
 Implement tool-calling APIs, workflows, agent memory, and enterprise system integrations
 </li>
 </ul>
 
 Human-in-the-Loop Interfaces
 
 <ul>
 <li>
 Build real-time AI interfaces using React and TypeScript
 </li>
 <li>
 Enable streaming responses via WebSockets or Server-Sent Events
 </li>
 <li>
 Create dashboards for approval, override, and guidance of agent actions
 </li>
 <li>
 Integrate solutions into Microsoft Teams, web portals, developer tools, and VS Code AI Toolkit
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 
 
 
 
 
 Core Engineering
 
 
 <ul>
 <li>
 8+ years in backend, platform, or distributed systems
 </li>
 <li>
 Strong expertise in Python and/or C#
 </li>
 <li>
 Experience building APIs, microservices, and event-driven systems
 </li>
 </ul>
 
 
 GenAI and Agent Systems
 
 
 <ul>
 <li>
 3+ years building production-grade GenAI solutions
 </li>
 <li>
 Experience with agent frameworks, RAG, tool-calling, and agent memory
 </li>
 </ul>
 
 
 Data and Search
 
 
 <ul>
 <li>
 Experience with Azure AI Search or vector databases
 </li>
 <li>
 Strong understanding of embeddings, hybrid search, and retrieval pipelines
 </li>
 </ul>
 
 
 AI Safety and Observability
 
 
 <ul>
 <li>
 Experience implementing guardrails, policy engines, and LLM monitoring
 </li>
 <li>
 Tracing, evaluation, and telemetry for AI systems
 </li>
 </ul>
 
 
 LLMOps and Infrastructure
 
 
 <ul>
 <li>
 CI/CD for AI workloads
 </li>
 <li>
 Model experimentation and tracking
 </li>
 <li>
 Azure, Docker, Kubernetes, Terraform or Pulumi
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 
 At Delphi, we provide a supportive, growth-focused environment. You will receive competitive compensation, performance-based incentives, and comprehensive health benefits. We invest in your growth through company-sponsored certifications, training programs, and continuous learning opportunities.
 
 
 We promote an inclusive and flexible culture with remote work options, fully supported work-from-home setups, wellness programs, and a strong focus on mental well-being.
 
</div>

Gen AI Architect

Inception

<div>
 
 Overview
 
 
 
 As the Infrastructure Architect at Inception, you will play a pivotal role in architecting, developing, and optimizing infrastructure for Inception&rsquo;s advanced AI platforms. With a robust background in cloud and on-premises infrastructure design, you&rsquo;ll focus on ensuring the scalability, security, and high performance of our AI systems. Collaborating closely with engineering and operations teams, you&rsquo;ll work to enhance the infrastructure that supports AI workloads, with an emphasis on cloud optimization, networking, and storage.
 
 
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Architect Infrastructure Solutions: Design and develop scalable, secure, and highly available infrastructure that supports Inception&rsquo;s AI platforms and applications.
 </li>
 <li>
 Cloud &amp; On-Premises Architecture: Develop cloud-based and on-premises infrastructure to meet AI/ML workload requirements for performance, scalability, and security.
 </li>
 <li>
 Collaboration with Key Teams: Work closely with engineering, DevOps, and product teams to optimize infrastructure for AI training, inference, and data processing.
 </li>
 <li>
 High Availability &amp; Disaster Recovery: Build high availability and disaster recovery solutions to ensure the resilience of critical AI platforms.
 </li>
 <li>
 Networking Architecture: Design and implement robust networking solutions for secure and reliable connectivity across AI systems.
 </li>
 <li>
 Automation &amp; Infrastructure as Code: Champion the use of automation and IaC, leveraging tools like Terraform, Ansible, and Kubernetes for streamlined infrastructure deployment and management.
 </li>
 <li>
 Cloud Efficiency &amp; Cost Management: Implement best practices for cloud resource efficiency and cost-effectiveness while maintaining stringent security standards.
 </li>
 <li>
 Technology Evaluation &amp; Integration: Continuously assess and integrate new technologies to enhance infrastructure capabilities in storage, networking, and cloud-native services.
 </li>
 <li>
 Compliance &amp; Security: Ensure infrastructure adheres to regulatory and security requirements, focusing on data privacy, encryption, and access control.
 </li>
 <li>
 Technical Guidance: Provide mentorship and technical leadership to the infrastructure team, promoting best practices in infrastructure quality and efficiency.
 </li>
 <li>
 Industry Trends &amp; Innovation: Stay current on industry advancements and drive infrastructure innovation to support evolving AI and technology trends.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Qualifications &amp; Requirements:
 
 
 
 <ul>
 <li>
 Experience: Minimum of 12 years in infrastructure architecture, cloud platforms, or systems engineering, with extensive experience in large-scale, mission-critical environments.
 </li>
 <li>
 Proven Cloud Expertise: Solid track record in architecting and managing infrastructures (AWS, Azure, GCP) for AI/ML workloads with a focus on scalability and resilience.
 </li>
 <li>
 Technical Proficiency: Expertise in cloud computing, networking, and storage, and experience with IaC tools like Terraform, Ansible, or CloudFormation.
 </li>
 <li>
 Containerization &amp; Orchestration: Proficient in Docker and Kubernetes, with experience deploying and managing AI/ML workloads.
 </li>
 <li>
 Networking &amp; Security Knowledge: Advanced understanding of networking protocols, VPNs, firewalls, and security best practices for hybrid and cloud environments.
 </li>
 <li>
 Storage Systems: Familiarity with storage solutions for AI/ML applications, including distributed storage and high-performance computing architectures.
 </li>
 <li>
 Resilience Strategies: Strong background in designing disaster recovery, business continuity, and high-availability plans.
 </li>
 <li>
 Cross-Functional Collaboration: Ability to work with DevOps, software engineering, and security teams to align infrastructure goals.
 
 
 </li>
 </ul>
 
 To qualify for the role you must have
 
 
 
 <ul>
 <li>
 Experience: Minimum of 12 years in infrastructure architecture, cloud platforms, or systems engineering, with extensive experience in large-scale, mission-critical environments.
 </li>
 <li>
 Proven Cloud Expertise: Solid track record in architecting and managing infrastructures (AWS, Azure, GCP) for AI/ML workloads with a focus on scalability and resilience.
 </li>
 <li>
 Technical Proficiency: Expertise in cloud computing, networking, and storage, and experience with IaC tools like Terraform, Ansible, or CloudFormation.
 </li>
 <li>
 Containerization &amp; Orchestration: Proficient in Docker and Kubernetes, with experience deploying and managing AI/ML workloads.
 </li>
 <li>
 Networking &amp; Security Knowledge: Advanced understanding of networking protocols, VPNs, firewalls, and security best practices for hybrid and cloud environments.
 </li>
 <li>
 Storage Systems: Familiarity with storage solutions for AI/ML applications, including distributed storage and high-performance computing architectures.
 </li>
 <li>
 Resilience Strategies: Strong background in designing disaster recovery, business continuity, and high-availability plans.
 </li>
 <li>
 Cross-Functional Collaboration: Ability to work with DevOps, software engineering, and security teams to align infrastructure goals.
 </li>
 <li>
 Be proficient in integrating AI agents and Experience leveraging AI-assisted orchestration and autonomous agents to streamline infrastructure management, automate security compliance, and drive operational excellence.
 </li>
 </ul>
</div>

Infrastructure Architect

HireOn

<div>
 
 
 Senior GenAI &amp; Agentic AI Architect &ndash; (Onsite in Abu Dhabi office, UAE)
 
 
 
 
 
 Location:
 
 Abu Dhabi office
 
 
 
 Client: UAE Emirates/Government
 
 
 
 
 About The Role
 
 
 
 Our client, a global AWS Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a
 
 high-caliber Senior Generative AI Architect
 
 with proven hands-on experience in building
 
 Agentic AI applications
 
 .
 
 
 This role is ideal for someone who has
 
 15+ years
 
 of software engineering and AI/ML experience and is now focused on
 
 autonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks
 
 .
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
 </li>
 <li>
 Architect and implement multi-agent systems for enterprise-grade solutions
 </li>
 <li>
 Integrate AI agents with APIs, databases, internal tools, and external SaaS products
 </li>
 <li>
 Lead and mentor a cross-functional team across global time zones
 </li>
 <li>
 Optimize performance, context retention, tool usage, and cost efficiency
 </li>
 <li>
 Build reusable pipelines and modules to support GenAI use cases at scale
 </li>
 <li>
 Ensure enterprise-grade security, privacy, and compliance standards in deployments
 </li>
 <li>
 Collaborate directly with clients and senior stakeholders
 
 
 </li>
 </ul>
 
 Ideal Candidate Profile
 
 
 
 <ul>
 <li>
 Min 15+ years of professional experience in software engineering and AI/ML
 </li>
 <li>
 3+ years of practical experience in LLM-based application development
 </li>
 <li>
 Strong track record of delivering Agentic AI systems (not just chatbot interfaces)
 </li>
 <li>
 Hands-on experience with:
 </li>
 <ul>
 <li>
 LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
 </li>
 <li>
 OpenAI, Claude, Gemini, Mistral, or Llama2
 </li>
 <li>
 Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
 </li>
 <li>
 Prompt engineering, RAG, memory/context management
 </li>
 <li>
 Serverless, Python, Node.js, AWS/GCP/Azure cloud
 </li>
 </ul>
 <li>
 Experience leading engineering teams and working with enterprise clients
 </li>
 <li>
 Excellent communication, documentation, and stakeholder management skills
 
 </li>
 </ul>
 
 
 Why Join?
 
 
 
 
 <ul>
 <li>
 Work on UAE Government AI initiatives
 </li>
 <li>
 Lead cutting-edge Agentic AI projects at enterprise scale
 </li>
 <li>
 Collaborate with senior teams across US, Canada, UAE, India, and Pakistan
 </li>
 <li>
 Competitive compensation + long-term career roadmap
 
 
 </li>
 </ul>
 Skills: agents,generative ai,langchain,llm frameworks,llama2,ai application development,gemini,embedding models,prompt engineering,rag,vector databases,semantic kernel,crewai,openai,autogpt,agentic ai
</div>

AI/ML Architect - GenAI and AgenticAI

Presight

<div>
 
 
 
 About The Role:
 
 
 
 
 Presight is seeking a Principal Solutions Architect &ndash; Financial Services to play a pivotal role in shaping, designing, and delivering large-scale AI-driven solutions for banks, insurers, capital markets firms, and regulators across the GCC and international markets.
 
 
 This is a senior, customer-facing role for an individual who combines deep Financial Services domain expertise with strong architectural leadership across data, AI, and cloud platforms. You will act as a trusted advisor to C-suite and senior technology leaders, helping institutions translate strategic business priorities into secure, scalable, and outcome-driven AI architectures.
 
 
 You will work closely with Presight&rsquo;s Financial Services leadership, product teams, and delivery partners to define industry-specific solutions, accelerate adoption, and shape Presight&rsquo;s go-to-market strategy across priority FSI clients.
 
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 FSI Client Advisory &amp; Solution Leadership
 
 
 <ul>
 <li>
 Serve as a lead architectural + technical authority for Financial Services engagements, advising clients on enterprise-grade AI, data, and cloud architectures aligned to regulatory and operational constraints.
 </li>
 <li>
 Engage directly with C-suite, CIOs, CTOs, CDOs, and Heads of Risk, Compliance, and Business Lines to shape AI-enabled transformation agendas.
 </li>
 <li>
 Translate complex FSI business challenges (e.g. risk, compliance, growth, customer intelligence, financial crime, operational efficiency) into end-to-end solution architectures.
 </li>
 </ul>
 
 
 
 
 
 Architecture &amp; Platform Design
 
 
 <ul>
 <li>
 Define secure, scalable, and sovereign-ready architectures spanning data platforms, AI/ML, GenAI, analytics, and cloud infrastructure
 </li>
 <li>
 Lead the design of industry-specific AI solutions across banking, insurance, payments, capital markets, and regulatory use cases
 </li>
 <li>
 Support solution design across hybrid, on-prem, and cloud environments, working closely with hyperscales and sovereign cloud platforms
 </li>
 </ul>
 
 
 
 
 
 Go-to-Market &amp; Industry Strategy
 
 
 <ul>
 <li>
 Act as a core member of the FSI go-to-market leadership team, supporting country and regional strategies
 </li>
 <li>
 Partner with sales and industry teams to shape propositions, solution narratives, and client-specific roadmaps
 </li>
 <li>
 Provide structured feedback to Presight&rsquo;s product and engineering teams to influence platform evolution based on real-world FSI requirements
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Enablement
 
 
 <ul>
 <li>
 Coach and mentor other architects, engineers, and delivery teams working on Financial Services engagements
 </li>
 <li>
 Lead executive workshops, whiteboarding sessions, and solution deep dives with both technical and non-technical stakeholders
 </li>
 <li>
 Represent Presight as a thought leader in client forums, industry events, and executive briefings
 </li>
 </ul>
 
 
 
 
 
 Delivery &amp; Execution Oversight
 
 
 <ul>
 <li>
 Support early-stage solution definition through implementation oversight, ensuring architectural integrity and alignment with client outcomes
 </li>
 <li>
 Collaborate with system integrators, technology partners, and internal delivery teams to ensure successful execution
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 10+ years of experience across enterprise architecture, cloud, data, data analytics, AI/ML, or large-scale technology platforms
 </li>
 <li>
 Significant hands-on experience working with Financial Services institutions (banking, insurance, capital markets, payments, or regulators)
 </li>
 <li>
 Proven ability to define, evangelise and execute end-to-end technology roadmaps supporting large-scale transformation initiatives
 </li>
 <li>
 Strong track record engaging and influencing senior executives and C-level stakeholders
 </li>
 <li>
 Excellent analytical, communication, and stakeholder-facing presentation skills
 </li>
 <li>
 Proven experience working in Agile environments and leading distributed engineering teams
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Technical Strengths
 
 
 
 <ul>
 <li>
 Deep understanding of:
 </li>
 <li>
 Distributed systems and large-scale data platforms
 </li>
 <li>
 Cloud and hybrid architectures
 </li>
 <li>
 AI / ML and emerging GenAI architectures
 </li>
 <li>
 Global security, governance, and regulatory considerations in FSI
 </li>
 <li>
 Comfortable operating across architecture, strategy, and execution rather than purely technical delivery
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Communication &amp; Leadership
 
 
 
 <ul>
 <li>
 Exceptional communication skills with the ability to bridge business and technology conversations
 </li>
 <li>
 Highly confident in executive presentations, whiteboarding, and facilitation
 </li>
 <li>
 Natural mentor and coach with experience guiding senior engineers and architects
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Enterprise, microservices, and event-driven architecture patterns
 </li>
 <li>
 End-to-end infrastructure and platform architecture (cloud, hybrid, containerized
 </li>
 <li>
 environments) Cloud platforms: Azure (mandatory), G42 Cloud, Huawei Cloud, AWS GCP
 </li>
 <li>
 Frontend &amp; Backend technologies: JavaScript, HTML, CSS, React, Node.js
 </li>
 <li>
 AI/ML architectures and Python-based development
 </li>
 <li>
 Databases and data platforms: Oracle, MySQL, MongoDB, Maria
 </li>
 <li>
 DBAPI &amp; integration technologies: REST, SOAP, event streaming
 </li>
 <li>
 Identity &amp; Access Management: IAM, SSO, OAuth, AD/LDAP
 </li>
 <li>
 Containerization &amp; orchestration: Docker, Kubernetes
 </li>
 <li>
 Observability, logging, and performance tuning (e.g. ELK stack)
 </li>
 <li>
 DevOps &amp; CI/CD pipelines and automation
 </li>
 </ul>
</div>

Principal Solution Architect

Explore 498+ Senior azure ai infrastructure architect in Abu Dhabi this March. Find roles across top companies and apply now to boost your career.

498 senior azure ai infrastructure architect jobs In Abu Dhabi

Senior Azure AI Infrastructure Architect

Senior Azure AI Infrastructure Architect

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AI/ML Architect - GenAI and AgenticAI

Principal Solution Architect