ai engineer

architect

full stack engineer

applied ai engineer

data engineer

cloud architect

Penta Consulting

<div>
 
 We are currently looking for an
 
 Arabic speaking
 
 Azure Cloud Solution Architect to work with our biggest customer in a full-time position, onsite in Dubai, UAE.
 
 
 
 
 
 In this role you will deliver technical advisories and drive architectural sessions with enterprise-size organisations in the region.
 
 
 
 
 
 The ideal candidate has hands on experience with the following services/responsibilities:
 
 <ul>
 <li>
 Virtualisation (Azure Local/Azure Stack HCI, Hyper-V, VMware)
 </li>
 <li>
 Azure Virtual Desktop (AVD)
 </li>
 <li>
 Core Azure IaaS services (Azure Site Recovery, Azure Backup, Azure Monitor, Azure Arc for Servers)
 </li>
 <li>
 Entra ID/Azure Identity services
 </li>
 <li>
 Delivering architectural sessions and deep technical advisories
 </li>
 </ul>
 
 
 
 
 If you have the above experience and are interested in this challenge, please apply!
 
 
 
 
 
 
 
 Successful candidates will be contacted within 2 weeks of applying
 
 
 
</div>

Cloud Solution Architect

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>10 years of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience in public cloud architecture, including compute, networking, IAM, and microservices.</li>
<li>Experience in pre-sales agreement acceleration, running technical proof of concepts (PoCs), and leading technical workshops.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience working in at least one of the following domains: artificial intelligence (AI), data, or infrastructure.</li>
<li>Experience in enterprise technology buying and evaluation processes.</li>
<li>Understanding of large-scale computing solutions, and the business-to-technology translation skills needed to challenge partner delivery strategies.</li>
<li>Ability to deliver results and work cross-functionally alongside direct Google Cloud Platform Customer Engineers to position and orchestrate a solution consisting of multiple products.</li>
<li>Ability to drive and influence partner technical audiences, identify expansion engagements within partner accounts, and ensure accelerated agreement velocity with zero partner-delivery escalations on partner-led delivery agreements .</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
The Google Cloud Platform team helps customers transform and build what's next for their business &mdash; all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers &mdash; developers, small and large businesses, educational institutions and government agencies &mdash; see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Partner Solution Architect, serve as the pre-sales solution design authority for our priority Regional System Integrators (RSIs) and strategic partners across the South geo clusters. You will be the ecosystem co-pilot to Google Cloud's Account Platform Customer Engineers. Where the Account Platform Customer Engineer owns the direct customer relationship and strategy, you will own your partner's technical capability to successfully deliver it. You will move seamlessly from regional advisory to deep, domain-specific execution (AI, Data, or Infrastructure) to capture the pre-sales gap, while ruthlessly deflecting post-sales delivery. 
 
As a Partner Solution Architect for RSIs and Strategic Partners, you will work in close collaboration with the Partner Development Managers responsible for the RSIs and Strategic Partners in your sub-region to create, drive and execute a joint business plan successfully, focusing on most impactful engagements across your sub-region and contribute to Partner Community in your domain of expertise.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Drive VIP, &quot;Red-Carpet&quot; bootcamps and hackathons for your partners to accelerate business cycles and to ensure high-quality on time delivery, driving a successful path to consumption.</li>
<li>Provide targeted pre-sales architectural support exclusively for RSIs and strategic partners in South, acting as a technical peer to Account Customer Engineers to unblock complex agreements or customize partner activation.</li>
<li>Serve as the regional pre-sales design authority by authoring baseline enterprise replicable assets (e.g., functional AI demos). Lead deep-dive technical sessions and hackathons for the regional Partner Technology Community to broadcast enablement 1-to-many.</li>
<li>Contribute to building, running and maintaining EMEA Partner Technology Community.</li>
<li>Be responsible for the technical review and validation of the highest impact statement of works (SoWs) to ensure a strict path to production and secure Partner funding return on investment (ROI).</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Partner Solution Architect, Regional System Integrators

Vtricks Technologies 

Job Title: AWS Cloud Engineer (4&ndash;7 Years)Location: Dubai Experience: 4&ndash;7 Years Employment Type: Full-TimeAbout the RoleWe are looking for a skilled AWS Cloud Engineer to join our growing team in Dubai. The ideal candidate should have strong hands-on experience in designing, deploying, and managing cloud-native applications and infrastructure on AWS. You will work closely with development and DevOps teams to build scalable, secure, and highly available cloud solutions while driving automation and operational excellence.Key Responsibilities<ul><li>Design, deploy, and manage scalable cloud infrastructure on AWS.</li><li>Work extensively with AWS services such as EC2, VPC, IAM, S3, RDS, ELB/ALB, Route 53, CloudWatch, and CloudFormation.</li><li>Build, deploy, and support microservices-based applications.</li><li>Develop and maintain CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or similar tools.</li><li>Containerize applications using Docker and manage Kubernetes clusters (EKS preferred).</li><li>Implement Infrastructure as Code (IaC) using Terraform or CloudFormation.</li><li>Collaborate with development teams to integrate backend services and REST APIs.</li><li>Monitor infrastructure, troubleshoot production issues, and optimize system performance.</li><li>Implement cloud security best practices, IAM policies, authentication, and access controls.</li><li>Work with messaging systems such as Kafka, RabbitMQ, or IBM MQ for event-driven architectures.</li><li>Ensure high availability, scalability, and disaster recovery for cloud applications.</li><li>Participate in Agile/Scrum ceremonies and support continuous improvement initiatives.</li></ul>Required Skills<ul><li>4&ndash;7 years of experience in AWS Cloud Engineering, DevOps, or Cloud Infrastructure.</li><li>Strong hands-on experience with AWS core services (EC2, VPC, IAM, S3, RDS, ELB, CloudWatch).</li><li>Experience with Docker and Kubernetes (EKS preferred).</li><li>Strong understanding of Microservices Architecture and REST APIs.</li><li>Experience building and maintaining CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or similar.</li><li>Hands-on experience with Infrastructure as Code (Terraform preferred).</li><li>Knowledge of event-driven architecture and messaging platforms such as Kafka, RabbitMQ, or IBM MQ.</li><li>Proficiency in at least one programming language (Python, Node.js, or .NET).</li><li>Good understanding of IAM, OAuth2, cloud security, and authentication mechanisms.</li><li>Experience with monitoring and logging tools such as ELK Stack, CloudWatch, Prometheus, or Grafana.</li><li>Strong troubleshooting, analytical, and problem-solving skills.</li></ul>Good to Have<ul><li>AWS Certifications (AWS Solutions Architect Associate, AWS Cloud Practitioner, or equivalent).</li><li>Exposure to Azure, GCP, or OCI.</li><li>Experience working in Banking, FinTech, or other regulated industries.</li><li>Knowledge of DevSecOps practices and security automation.</li><li>Experience with Agile/Scrum development methodologies.</li></ul>Preferred Qualifications<ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>Excellent communication and stakeholder management skills.</li><li>Ability to work independently in a fast-paced, collaborative environment.</li></ul>Why Join Us?<ul><li>Opportunity to work on enterprise-scale cloud transformation projects.</li><li>Exposure to modern cloud-native technologies and DevOps practices.</li><li>Collaborative work environment with opportunities for continuous learning and career growth.</li><li>Competitive compensation and benefits.</li></ul>Pay: AED3,755.12 - AED16,307.19 per monthApplication Question(s):<ul><li>What is your notice period in days?</li></ul>Experience:<ul><li>AWS Cloud Engineering, DevOps, or Cloud Infrastructure: 4 years (Required)</li></ul>Location:<ul><li>Dubai (Required)</li></ul>Work Location: In person

AWS Cloud Engineer (4–7 Years)

Sprinklr

<div>
 Sprinklr is the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale &mdash; across every customer touchpoint.
 
 
 By combining human instinct with the speed and efficiency of AI, Sprinklr helps brands earn trust and loyalty through personalized, seamless, and efficient customer interactions. Sprinklr&rsquo;s unified platform provides powerful solutions for every customer-facing team &mdash; spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management &mdash; enabling enterprises to unify data, break down silos, and act on real-time insights.
 
 
 Today, 1,900+ enterprises and 60% of the Fortune 100 rely on Sprinklr to help them deliver consistent, trusted customer experiences worldwide.
 
 
 
 Job Description
 
 
 
 
 Lead Solutions Architect &ndash; Platform, Data &amp; AI
 
 
 
 Sprinklr seeks a Lead Solutions Architect &ndash; Platform, Data, AI &amp; Integrations to partner with sales, product, and customer success to drive revenue by architecting, demonstrating, and operationalizing Sprinklr&rsquo;s Unified-CXM platform across enterprise technology, customer data, knowledge, and AI ecosystems.
 
 
 Solution Architects at Sprinklr combine deep technical expertise with strategic business consulting to uncover customer needs and position Sprinklr&rsquo;s platform, integration, customer data, knowledge, and AI capabilities. They provide trusted advisory guidance and rapidly map customer architectures across enterprise systems, customer data layers, knowledge frameworks, governance models, and emerging agentic AI ecosystems.
 
 
 This role focuses on Sprinklr&rsquo;s platform integration layer, customer data architecture, knowledge and experience design, enterprise AI/ML alignment, and agentic orchestration capabilities &mdash; including connector ecosystems, native import/export workflows, open APIs, unified customer intelligence, knowledge activation, automation, and intelligent autonomous workflows.
 
 
 
 What You'll Do
 
 
 
 
 Platform, Integration &amp; Customer Data Architecture
 
 
 
 <ul>
 <li>
 Architect end-to-end platform, customer data, knowledge, and integration solutions leveraging Sprinklr&rsquo;s connector ecosystem, unified customer intelligence frameworks, native import/export capabilities, knowledge systems, and REST API ecosystem.
 </li>
 <li>
 Design enterprise customer data architectures including customer identity resolution, profile unification, source-agnostic ingestion, structured/unstructured data harmonization, segmentation frameworks, consent and governance layers, customer memory, and omnichannel data continuity.
 </li>
 <li>
 Develop customer knowledge and experience architectures that activate operational, behavioral, conversational, and contextual customer intelligence across AI, service, marketing, and customer engagement workflows.
 </li>
 <li>
 Present enterprise architecture blueprints for common patterns &mdash; including CRM lifecycle integration, CDP synchronization, DAM connectivity, customer knowledge activation, omnichannel handover, case and interaction history continuity, reporting/analytics extraction, and platform extensibility.
 
 
 </li>
 </ul>
 
 AI, Agentic &amp; Knowledge Leadership
 
 
 
 <ul>
 <li>
 Lead AI, knowledge, and agentic solution design by mapping customer ecosystems to Sprinklr AI+, conversational AI, LLM ecosystems, enterprise search, RAG frameworks, NLP engines, memory architectures, and autonomous workflow orchestration.
 </li>
 <li>
 Define architectures for agentic enterprise use cases such as AI copilots, autonomous customer service agents, knowledge assistants, intelligent routing, AI-driven workflow execution, retrieval-augmented generation (RAG), customer memory systems, and real-time decision intelligence.
 </li>
 <li>
 Design knowledge governance frameworks including content ingestion, semantic search, taxonomy design, vectorization strategies, metadata structures, knowledge lifecycle management, and enterprise-safe AI deployment.
 </li>
 <li>
 Advise on AI + customer data governance including guardrails, hallucination mitigation, memory controls, observability, consent frameworks, model governance, and human-in-the-loop safety.
 
 
 </li>
 </ul>
 
 Presales Discovery, Consulting &amp; Transformation
 
 
 
 <ul>
 <li>
 Lead strategic discovery workshops to assess customer technology stacks, customer data maturity, AI readiness, and enterprise transformation opportunities across CRM, CDP, ERP, martech, DAM, analytics, cloud, compliance, and AI ecosystems.
 </li>
 <li>
 Map customer current-state ecosystems into Sprinklr&rsquo;s unified platform, customer data, knowledge, and AI architecture while producing fit-gap analyses, phased transformation strategies, and extensibility roadmaps.
 </li>
 <li>
 Develop and deliver compelling technical demonstrations, AI showcases, and Proofs of Concept (POCs)highlighting customer data activation, bi-directional integration, knowledge orchestration, API-led extensibility, agentic AI, and unified customer experiences.
 </li>
 <li>
 Translate fragmented architectures into strategic business outcomes by identifying operational inefficiencies, customer experience gaps, AI opportunities, and transformation priorities.
 
 
 </li>
 </ul>
 
 Strategic Advisory &amp; Thought Leadership
 
 
 
 <ul>
 <li>
 Provide strategic guidance on enterprise architecture spanning authentication, customer identity, data governance, transformation pipelines, compliance, observability, rate management, knowledge governance, and AI safety.
 </li>
 <li>
 Collaborate across Sprinklr&rsquo;s product, platform, AI, architecture, and sales ecosystem to validate designs against current capabilities and future roadmap priorities.
 </li>
 <li>
 Support RFPs, executive presentations, and technical strategy related to platform design, customer data architecture, AI transformation, knowledge governance, security, and compliance.
 </li>
 <li>
 Serve as a subject matter expert on Sprinklr&rsquo;s platform + customer data + knowledge + AI + integration taxonomy, clearly articulating the value of unified architectures over fragmented ecosystems.
 </li>
 <li>
 Act as a trusted technical advisor to CIOs, Chief Digital Officers, Chief Data Officers, enterprise architects, AI leaders, and transformation teams by translating complex technical ecosystems into measurable business value.
 
 
 </li>
 </ul>
 
 Travel
 
 
 
 <ul>
 <li>
 Travel up to 40% for customer engagements, strategic workshops, partner enablement, executive advisory sessions, and industry events.
 
 
 </li>
 </ul>
 
 Education &amp; Experience
 
 
 
 
 Who You Are &amp; What Makes You Qualified
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Information Systems, Engineering, or related field; Master&rsquo;s degree preferred.
 </li>
 <li>
 7+ years of experience in enterprise platform architecture spanning integrations, customer data, AI, knowledge systems, or cloud ecosystems.
 </li>
 <li>
 5+ years of experience architecting and demonstrating enterprise solutions in presales, solutions engineering, technical consulting, or transformation leadership roles with measurable revenue impact
 
 
 </li>
 </ul>
 
 Platform, Integration &amp; Technical Depth
 
 
 
 <ul>
 <li>
 Deep expertise in enterprise integration patterns including REST/GraphQL APIs, webhook orchestration, event-driven architecture, ETL/ELT pipelines, source-agnostic ingestion, identity systems, API gateways, and bi-directional SaaS connectivity.
 </li>
 <li>
 Hands-on experience with enterprise SaaS ecosystems including CRM, CDP, DAM, workforce management, analytics, martech, customer feedback, and operational systems.
 </li>
 <li>
 Strong proficiency with integration tooling and standards including OAuth 2.0, SAML/SSO, JSON/XML, iPaaS platforms, middleware, cloud integration ecosystems, and governance frameworks.
 </li>
 <li>
 Customer Data Architecture &amp; Knowledge Systems
 </li>
 <li>
 Deep expertise in customer data architecture and enterprise knowledge design, including customer identity resolution, profile unification, master data alignment, metadata strategy, taxonomy design, knowledge graphs, and structured/unstructured data harmonization across CX, CRM, CDP, and service ecosystems.
 </li>
 <li>
 Proven experience architecting customer knowledge and experience frameworks that unify operational, behavioral, conversational, and contextual data to power personalized journeys, AI copilots, agentic workflows, retrieval-augmented generation (RAG), and enterprise search.
 </li>
 <li>
 Strong understanding of customer experience data models including journey orchestration, interaction history, case lifecycle, segmentation, consent, privacy, customer memory, and omnichannel continuity.
 </li>
 <li>
 Hands-on experience designing enterprise knowledge architectures supporting content governance, ingestion pipelines, semantic search, vectorization strategies, metadata frameworks, knowledge lifecycle management, and real-time decision intelligence.
 </li>
 <li>
 Ability to transform fragmented ecosystems into a unified customer data + knowledge + experience architecturethat improves customer outcomes, AI accuracy, operational efficiency, and platform scalability.
 
 
 </li>
 </ul>
 
 AI, Agentic &amp; Data Intelligence
 
 
 
 <ul>
 <li>
 Strong knowledge of AI/ML, Generative AI, and agentic architectures including LLMs, NLP, RAG, enterprise search, vector systems, orchestration frameworks, memory systems, autonomous agents, and intelligent workflow automation.
 </li>
 <li>
 Experience designing agentic systems with governance, observability, trust layers, guardrails, lifecycle management, and enterprise-safe deployment strategies.
 </li>
 <li>
 Familiarity with cloud data ecosystems such as Snowflake, Databricks, AWS, Azure, GCP, or equivalent enterprise data intelligence platforms.
 
 
 </li>
 </ul>
 
 Business Consulting &amp; Leadership
 
 
 
 <ul>
 <li>
 Strong capability to perform deep discovery across customer architecture, customer data maturity, AI readiness, and operational transformation needs while aligning phased adoption strategies.
 </li>
 <li>
 Excellent communication skills with the ability to influence enterprise architects, CIOs, CDOs, IT decision-makers, and C-suite executives by translating platform, data, AI, and customer experience architectures into business outcomes.
 </li>
 <li>
 Experience contributing to thought leadership, sales enablement, partner ecosystem growth, strategic transformation, and innovation programs.
 
 
 </li>
 </ul>
 
 Governance, Privacy &amp; Security
 
 
 
 <ul>
 <li>
 Strong knowledge of security, privacy, compliance, and responsible AI frameworks including SOC 2, GDPR, CCPA, customer consent frameworks, governance-by-design, and enterprise-safe customer data activation.
 
 
 </li>
 </ul>
 
 Ideal Differentiators
 
 
 
 <ul>
 <li>
 Experience with conversational AI, autonomous enterprise agents, customer memory systems, or enterprise AI transformation.
 </li>
 <li>
 Familiarity with CCaaS, CXM, customer service transformation, and unified customer engagement ecosystems.
 </li>
 <li>
 Ability to position Sprinklr as more than a platform &mdash; as a Unified Customer Experience, Customer Data, Knowledge, and Agentic AI Transformation Architecture.
 </li>
 <li>
 Passion for shaping the future of enterprise customer engagement through platform unification, customer intelligence, and autonomous AI innovation.
 
 
 </li>
 </ul>
 
 We focus on our mission
 
 : Sprinklr was founded in 2009 to solve a big problem: growing enterprise complexity that separated brands from their customers. Our vision was clear: to unify fragmented teams, tools and data &mdash; helping large organizations build deeper, more meaningful connections with the people they serve. Today, Sprinklr has a unified, AI-native platform for four product suites: Sprinklr Service, Sprinklr Social, Sprinklr Marketing, and Sprinklr Insights. Sprinklr is here to do three things:
 
 
 <ul>
 <li>
 Lead a new category of enterprise software that we call Unified-CXM.
 </li>
 <li>
 Empower companies to deliver next generation, unified engagement journeys that reimagine the customer experience.
 </li>
 <li>
 Create a culture of customer obsession, with trust, teamwork, and accountability.
 
 
 </li>
 </ul>
 
 We believe in our product
 
 : Customers who value exceptional customer experiences have what they need on our single unified platform, built with an operating system approach on a single codebase. That means that everything &mdash; and everyone &mdash; can work together to service, respond, sell, and market to customers on the channels they prefer. While Unified Customer Experience Management (Unified-CXM) as a category is just getting started, we are well on our way to creating a no-compromise, unified approach to better customer experiences for the world&rsquo;s leading enterprise brands.
 
 
 
 We invest in our people
 
 : We offer a comprehensive suite of benefits designed to help each member of our team thrive. Sprinklr believes that you should be able to get the type of care you need for your personal well-being when you need it. We offer you and your family voluntary healthcare coverage in countries where applicable. We believe it is important to take time off &ndash; it is essential for your mental and physical wellbeing. We provide Sprinklrites with paid time off to recharge and spend time with loved ones. We want to grow our talent with purpose. Our open Mentoring Program is designed to create meaningful connections that support growth and amplify our focus.
 
 
 To learn more about employee benefits by region, click here.
 
 
 To learn more about all-things-Sprinklr, visit our candidate resource hub here.
 
 
 
 EEO - Our philosophy
 
 : Our goal is to ensure every employee feels like they belong and are operating in a collaborative environment. We fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we&rsquo;re more innovative, creative, and successful.
 
 
 Sprinklr is proud to be an equal-opportunity workplace and complies with all applicable federal, state, and local fair employment practices laws. We are committed to equal employment opportunity regardless of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable law.
 
 
 Reasonable accommodations are available upon request during the interview process. To request an accommodation, please work directly with your recruitment coordinator or recruiter.
 
 
 
 Warning about Recruiting Scams:
 
 Please be vigilant for recruiting scams impersonating Sprinklr. Sprinklr will never ask you for money, to pay for equipment, or for unnecessary personal information during the interview process. Sprinklr will also never pay in Bitcoin or send email communications from our executives. Please review the Federal Trade Commission's advice to avoid these types of scams.
 
 
 If you are contacted by someone whom you suspect may not be appropriately representing Sprinklr, please do not engage and block their email or phone number immediately.
</div>

Lead Solutions Architect

Kingston Stanley

<div>
 
 We&rsquo;re looking for a hands-on
 
 Azure Cloud Engineer
 
 to join a modern, Infrastructure-as-Code-driven environment built entirely on automation, scalability, and AI-first engineering practices.
 
 
 You&rsquo;ll work in a 100% cloud-native estate on Microsoft Microsoft Azure, owning and evolving core platform services across compute, networking, security, and DevOps.
 
 
 
 
 
 
 Tech Stack
 
 
 
 Terraform / Terragrunt | Azure DevOps | AKS &amp; Helm | PowerShell | Ansible | Sentinel | App Insights | Prometheus | Grafana | Loki
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build &amp; run Azure infrastructure at scale (VMs, AKS, networking, DR)
 </li>
 <li>
 Own Infrastructure-as-Code (modular Terraform/Terragrunt)
 </li>
 <li>
 Manage CI/CD pipelines (90+ Azure DevOps pipelines)
 </li>
 <li>
 Operate Kubernetes platforms &amp; observability stack
 </li>
 <li>
 Drive automation across identity, security, and operations
 </li>
 <li>
 Support multi-region DR and enterprise-grade resilience
 </li>
 </ul>
 
 
 
 
 
 Mindset
 
 
 <ul>
 <li>
 AI-first engineering (ChatGPT / Claude / Copilot)
 </li>
 <li>
 Automation-first, IaC-first approach
 </li>
 <li>
 Strong ownership in a senior, fast-moving team
 </li>
 </ul>
 
 
 
 
 
 Must Have
 
 
 
 
 Azure | Terraform | AKS | Azure DevOps | PowerShell | Networking | AD/Entra ID
 
 
 
 
 
 
 
 Salary: AED 22k standard benefits
 
 
</div>

IT Cloud Engineer Azure

Genesys

<div>
 
 Be the one building AI-powered experiences where they matter most.
 
 
 
 At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.
 
 
 Help build, support and operate technology used by more than 8,000 organizations in over 100 countries &ndash; moving AI from possibility to production in real-world enterprise environments every day.
 
 
 The
 
 Genesys AI Architect
 
 is a senior presales AI specialist who operates across three core motions:
 
 
 <ul>
 <li>
 Driving strategic AI opportunities with customers and sales teams
 </li>
 <li>
 Scaling the field through reusable assets, technical enablement, and coaching
 </li>
 <li>
 Shaping product and go-to-market direction through real-world customer and field feedback
 
 
 </li>
 </ul>
 This role requires a blend of deep AI technical acumen, exceptional sales, communication, and executive storytelling skills, and the ability to translate complex capabilities into clear, actionable business value.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design end-to-end AI systems for customer experience use cases. Architect reliable, production-ready AI solutions that go beyond prompt design, combining LLMs, deterministic workflows, tools, and orchestration layers. Define how AI interacts across the full journey (self-service, agent copilot, journey management, and back-office automation), including fallback strategies, human handoff, and failure handling.
 </li>
 <li>
 Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required. Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data. Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy, relevance, and freshness. Partner with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements.
 </li>
 <li>
 Establish AI evaluation frameworks and quality measurement strategies. Define how success is measured for AI-driven experiences, including accuracy, containment, customer satisfaction, and business impact. Create test sets, evaluation methodologies, and feedback loops to continuously improve performance. Translate technical quality metrics into business-relevant outcomes to support customer decision-making and adoption.
 </li>
 <li>
 Engineer contextual AI experiences that leverage real-time data and conversation state. Design how AI systems incorporate dynamic context such as customer data, interaction history, and external signals. Optimize context management and prompt structure to maximize relevance while managing token limits and response quality. Ensure AI interactions remain coherent, personalized, and aligned across channels and touchpoints.
 </li>
 <li>
 Design for scalability, latency, and cost efficiency in enterprise environments. Evaluate and optimize AI solutions for real-world constraints, including response time (especially for voice), throughput, and cost at scale. Make informed tradeoffs across model selection, caching strategies, and architecture patterns to deliver performant and economically viable solutions. Ensure designs meet enterprise expectations for reliability and responsiveness.
 </li>
 <li>
 Leverage expert-level knowledge of Genesys AI capabilities to articulate and demonstrate product value to customers and prospects.
 </li>
 <li>
 Support pre-sales activities such as technical discovery, solution design, product demonstrations, sandbox/trial engagements, AI integration guidance, and value assessments.
 </li>
 <li>
 Design and deploy AI prototypes in sandbox and/or customer development environments to validate use cases, integrations, latency, and success criteria, and to highlight the differentiated value of Genesys AI.
 </li>
 <li>
 Partner with account teams and Professional Services to transition successful prototypes into production pilots supporting technical handoff, hardening, KPI alignment, and business outcome validation.
 </li>
 <li>
 Build integrations to third-party systems via RESTful APIs and emerging interoperability patterns such as MCP and A2A showcasing the art of the possible with Genesys Cloud AI solutions.
 </li>
 <li>
 Develop reusable technical assets and enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content.
 </li>
 <li>
 Provide technical feedback and strategic insights to Product Management and Engineering on AI product design, implementation considerations, and customer-driven enhancements.
 </li>
 <li>
 Influence CIO/CTO-level stakeholders and position Genesys as integral to an organization&rsquo;s broader IT and transformation strategy.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 AI Architecture &amp; Technical Judgment: Hands-on experience designing modern AI solutions for customer experience orchestration and contact center use cases using the right mix of classic ML, NLU/NLP, retrieval-based systems, LLMs, orchestration patterns, tool use and agentic approaches. Ability to make and defend architecture tradeoffs across latency, cost, explainability, governance, multilingual requirements, and business risk.
 </li>
 <li>
 Enterprise Integration &amp; Real-Time Design: Expertise integrating AI solutions with enterprise platforms, knowledge sources, RESTful APIs, event-driven architectures, identity systems, and broader cloud ecosystems. Able to design for real-world constraints including voice latency, fallback paths, throughput, reliability, and secure data access.
 </li>
 <li>
 Evaluation, Governance &amp; Observability: Ability to define AI evaluation strategies, success metrics, and monitoring approaches across offline and online testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control.
 </li>
 <li>
 Executive Communication &amp; Field Enablement: Strong ability to translate complex AI architectures into clear business value for technical and executive stakeholders, while also creating reusable assets, workshops, and enablement content that scale field capability across the SC organization.
 </li>
 <li>
 Prompt Design &amp; AI Workflow Optimization: Practical experience designing prompts, context strategies, and orchestration flows as part of a broader system architecture, rather than as a standalone discipline.
 </li>
 <li>
 Technical Demonstration Prowess: Proven ability to create, deliver, and adapt compelling technical demonstrations and presentations that clearly articulate AI integration points and business impact.
 </li>
 <li>
 Sales Acumen: Demonstrated success partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning.
 </li>
 <li>
 Business Value Orientation: Ability to identify opportunities for process optimization and recommend AI-driven solutions that enhance customer outcomes and operational efficiency.
 </li>
 <li>
 Executive Presence: Proven ability to influence CIO/CTO decision-makers.
 </li>
 <li>
 Strong understanding of the Genesys Cloud platform and Genesys AI preferred.
 </li>
 <li>
 Foundational understanding of programming concepts (Python preferred).
 </li>
 <li>
 Fluency in English and Arabic languages.
 </li>
 <li>
 French language fluency as a plus.
 
 
 </li>
 </ul>
 
 Working at Genesys
 
 
 
 <ul>
 <li>
 AI at enterprise scale &ndash; Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year
 </li>
 <li>
 A flexible-first culture &ndash; Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work
 </li>
 <li>
 Growth in the AI era &ndash; Build future-ready skills through mentorship, learning programs, leadership development and education support
 </li>
 <li>
 Time to recharge and give back &ndash; Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families
 </li>
 <li>
 Recognized globally &ndash; Genesys is Great Place to Work&reg; certified in 17 countries and 94% of employees are proud to tell others they work at Genesys
 
 
 </li>
 </ul>
 Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.
 
 
 
 What Happens After You Apply
 
 
 
 After you apply, here's what you can typically expect:
 
 
 <ul>
 <li>
 Our Talent Acquisition team reviews your application with the hiring team
 </li>
 <li>
 A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
 </li>
 <li>
 Next, you'll meet the hiring manager and other members of the interview team
 </li>
 <li>
 We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases
 </li>
 <li>
 After interviews are complete, our team will follow up with the final steps
 
 
 </li>
 </ul>
 Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.
 
 
 
 Stay Connected
 
 
 
 Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.
 
 
 Get notified about relevant opportunities.
 
 
 
 Be the one building what's next - where AI, experience and impact come together.
 
 
 
 
 Employee Referral
 
 
 
 If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.
 
 
 
 About Genesys:
 
 
 
 Genesys&reg; empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud&trade; is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.
 
 
 
 Reasonable Accommodations:
 
 
 
 If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.
 
 
 You can expect a response within 24&ndash;48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.
 
 
 This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation&mdash;such as application follow-ups or resume submissions&mdash;may not receive a response.
 
 
 
 Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
 
 
 
 
 Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
 
 
 
</div>

AI Solution Architect EMEA

Everpure

<div>
 We&rsquo;re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
 
 
 This type of work&mdash;work that changes the world&mdash;is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
 
 
 
 THE ROLE
 
 
 
 Powering the METCA AI &amp; Sovereign Cloud Revolution
 
 
 As
 
 Everpure
 
 , we are transcending traditional storage to deliver the Enterprise Data Cloud - a unified architecture engineered to fuel the world&rsquo;s most ambitious AI, Deep Learning, and HPC projects. The METCA region is a global epicenter for AI infrastructure investment, characterised by massive capital flowing into Tier-1 sovereign GPU clouds (CSPs, Neo-scalers) and enterprise AI factories.
 
 
 We are seeking a
 
 Battle-Trained, High-Conviction Hunting Systems Engineer (SE)
 
 to serve as our technical tip of the spear. This is not a passive, box-pushing relationship management role. You will partner aggressively with an Enterprise Account Executive to target, break into, and land the largest AI infrastructure projects in the market, displacing legacy architectures and securing net-new footprints.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Execute High-Impact Hunting: Partner closely with Account Executives to actively map out and break into net-new enterprise accounts, sovereign GPU clouds, and high-performance computing clusters.
 </li>
 <li>
 Architect the AI Factory: Design high-performance, multi-tenant data pipelines. Move beyond basic storage architecture to design full-stack environments, optimising how data nodes interact within massive GPU fabrics.
 </li>
 <li>
 Drive Technical Consensus: Lead deep-dive architectural workshops with customer GPU cluster architects while simultaneously translating complex engineering concepts into crisp, ROI-driven narratives for C-level executives.
 </li>
 <li>
 Own the Technical Win: Take absolute control of complex, multi-rack benchmarks, system configurations, and Proof of Value (PoV) exercises to prove Everpure's architectural superiority over the competition.
 </li>
 <li>
 Map the Infrastructure Roadmap: Guide customers from initial multi-petabyte deployments through a long-term scaling strategy - architecting solutions where they can seamlessly mix, match, and expand data nodes over time.
 </li>
 <li>
 Leverage the Partner Ecosystem: Collaborate actively with strategic alliance partners (e.g., NVIDIA, Cisco, Dell) to ensure Everpure&rsquo;s dense flash storage is qualified and integrated directly into incoming customer chip allocations.
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 Full-Stack AI/HPC Understanding: Direct experience working alongside GPU cluster architects. You must understand adjacent compute and networking layers, including NVIDIA DGX architectures, InfiniBand, high-speed Ethernet fabrics, and cluster cabling.
 </li>
 <li>
 Modern Data &amp; Software Fluency: Mastery of high-performance file systems, distributed storage architectures, multi-tenancy requirements, and orchestration tools (such as Slurm or Kubernetes).
 </li>
 <li>
 AI Pipeline Competency: Deep understanding of how data flows through modern AI pipelines&mdash;from raw ingestion and tokenization to model training, localized RAG (Retrieval-Augmented Generation) deployments, and inference.
 </li>
 <li>
 Ecosystem Background: Background selling or architecting infrastructure from high-performance scale-out storage builders, scale-out NAS vendors, or cutting-edge AI cloud providers (Neo-scalers/Boutique GPU-as-a-Service providers).
 </li>
 <li>
 Hunting Instincts: A proven track record of targeting and converting cold prospects into major clients. You are wired to seek out massive, complex structural deals that drive genuine customer value, rather than waiting for inbound requests.
 </li>
 <li>
 Advanced Storytelling &amp; Business Acumen: The ability to take raw, complex supercomputing concepts and frame them with simplicity
 </li>
 <li>
 Benchmark &amp; RFP Dominance: Strong experience utilising industry-standard benchmarks and technical validation data to dismantle competitor claims and win highly competitive RFPs/RFIs.
 </li>
 <li>
 Agility and Speed: A natural inclination to ramp up rapidly on next-generation engineering rollouts (such as high-density QLC innovations and new architectural frameworks) and immediately position them in the field.
 </li>
 <li>
 Deep familiarity with the infrastructure landscape, major players, and sovereign cloud initiatives within the METCA region (specifically UAE and Saudi Arabia, but with an understanding of wider world drivers and Tier-1 projects).
 </li>
 <li>
 BS/MS in Computer Science, Computer Engineering, or equivalent deep-field experience in distributed computing/HPC environments.
 
 
 </li>
 </ul>
 ,
 
 
 
 What You Can Expect From Us
 
 
 
 <ul>
 <li>
 Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
 </li>
 <li>
 Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology&trade;, Fortune's Best Workplaces in the Bay Area&trade;, and certified as a Great Place to Work&reg;!
 </li>
 <li>
 Team: We build each other up and set aside ego for the greater good.
 
 
 </li>
 </ul>
 And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.
 
 
 
 Accommodations And Accessibility
 
 
 
 Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you&rsquo;re invited to an interview.
 
 
 
 Our Commitment To a Strong And Inclusive Team
 
 
 
 We&rsquo;re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn&rsquo;t just accepted but embraced. That&rsquo;s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
 
 
 Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
 
 
 
 Join us and bring your best.
 
 
 
 
 Bring your bold.
 
 
 
 
 Pure and simple.
 
 
 
</div>

AI/HPC/NeoCloud Pre-Sales System Engineer UAE

Explore 176+ Cloud architect in Dubai this July. Find roles across top companies and apply now to boost your career.