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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>

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

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>

GlobalXperts Technology

Position : Azure Data Engineer Experince : (7+ Years Experience)Location: Abu Dhabi, UAE Work Mode: Work from Office (Full-Time)Job SummaryWe are seeking a highly skilled and experienced Azure Data Engineer with 7+ years of experience in data engineering and cloud-based data platforms. The ideal candidate will have strong hands-on expertise in Azure data services and mandatory day-to-day coding experience in PySpark. This is an on-site role based in Abu Dhabi.Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines using Azure data services</li><li>Implement ETL/ELT processes using Azure Data Factory</li><li>Develop and optimize big data solutions using Azure Databricks</li><li>Perform day-to-day data processing and transformations using PySpark (mandatory)</li><li>Work with Azure Data Lake for data storage, management, and governance</li><li>Ensure data quality, reliability, and performance optimization</li><li>Collaborate with business stakeholders, data analysts, and architects to deliver data solutions</li><li>Monitor and troubleshoot data workflows and pipelines</li><li>Follow best practices in data security, governance, and compliance</li></ul>Required Skills &amp; Experience<ul><li>7+ years of experience in Data Engineering or related field</li><li>Strong hands-on experience with:</li><li>Azure Data Factory (ADF)</li><li>Azure Data Lake</li><li>Azure Databricks</li><li>Mandatory: Strong day-to-day coding experience in PySpark</li><li>Experience in building and optimizing large-scale data pipelines</li><li>Strong understanding of ETL/ELT concepts and data warehousing principles</li><li>Experience working with structured and unstructured data</li><li>Good understanding of performance tuning and optimization techniques</li></ul>Preferred Qualifications<ul><li>Experience in cloud-based data architecture</li><li>Knowledge of CI/CD in Azure environment</li><li>Strong problem-solving and analytical skills</li><li>Excellent communication skills</li></ul>Education<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Engineering, or related field</li></ul>Job Types: Full-time, ContractPay: AED8,000.00 - AED12,000.00 per monthApplication Question(s):<ul><li>Total years of experince in Azure Data engineering ?</li><li>Total years of experince in Azure Data Factory ?</li><li>Total years of experince in Azure Data Lake ?</li><li>Total years of experince in Azure Data Bricks ?</li><li>Total years of experince in Pyspark coding ?</li><li>Current monthly salary (AED) ?</li><li>Expected monthly salary (AED)?</li><li>Pleare rate your english communication skills out of 10 (1 is lowest , 1 is highest)?</li><li>In how many days you can join us if gets shortlisted?</li><li>Please mention your technical skills which makes you a fit for the role.</li><li>Have you read the job decsription and ok to perform all mentioed roles an responsibilties ?</li><li>Your current location?</li><li>Ok to work from Abu dhabi (onsite) office?</li></ul>Work Location: In person

Azure Data Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS is building the future of sovereign cloud computing. As a Principal Technical Program Manager on our Digital Sovereignty team, you will drive strategic programs that enable AWS customers to maintain control over their data while leveraging the full power of AWS cloud services. 
You will work directly with the Director of Digital Sovereignty and Managing Director of European Sovereign Cloud to orchestrate technical workstreams that support our global strategy and initiatives. 
This role requires deep technical expertise, strategic thinking, and the ability to influence without authority across a complex, matrixed organization. You will own technology roadmaps, manage portfolios of programs, and drive execution of initiatives with broad cross-organizational impact. You will also help the director to prioritize his external engagements. 
 
Key job responsibilities 
Strategic Leadership 
<ul><li>Develop annual strategic plans that align cross-functional technical contributors toward unified business outcomes
</li><li>Identify gaps and opportunities across countries, architectures, and organizations
</li><li>Influence organizational technical priorities and business strategy through data-driven contributions
</li><li>Maintain and foster executive relationships at Director and Vice President levels
</li><li>Collaborates with the Director and Go-To-Market team to plan, prepare, and execute high-impact executive customer engagements, ensuring technical discussions are tailored, well-coordinated, and aligned to customer priorities
</li></ul> 
Program Execution 
<ul><li>Lead global programs and coordinate efforts across matrixed teams of Solution Architects, Technical Business Developers, Technical Program Managers, and Account Managers
</li><li>Drive execution through influence and collaboration, providing technical guidance and mentorship without direct reporting relationships
</li><li>Define clear, measurable goals and success metrics aligned with internal Amazon customer needs across diverse business units
</li><li>Assess risks, anticipate bottlenecks, provide escalation management, and make tradeoffs between business needs and technical constraints
</li><li>Manage team outcomes and cross-functional deliverables using Salesforce and tracking mechanisms
</li></ul> 
Cross-Functional Collaboration 
<ul><li>Foster deep collaboration with AWS service teams (EC2, S3, Global Networking, Bedrock), Infrastructure, Partners, and Professional Services
</li><li>Orchestrate cross-functional initiatives that accelerate innovation and customer outcomes
</li><li>Facilitate knowledge sharing and best practice development across technical contributors
</li><li>Build organizational capability and ensure consistent approaches to complex technical challenges
</li></ul> 
Technical Excellence 
<ul><li>Bring strong, data-driven, and strategic technical judgment to decisions
</li><li>Lead design, implementation, and delivery of highly complex cross-functional projects in ambiguous or new technology areas
</li><li>Create scalable mechanisms, methodologies, and best practices for the organization
</li><li>Recognize and actively steer teams away from prior technology failure patterns
</li><li>Write effective narratives (PRFAQs, strategic documentation) and present to senior leadership
</li><li>Provides technical review and input to support the go-to-market team in developing, scaling, and maintaining internal and external technical enablement materials, ensuring accuracy and technical credibility across internal and external audiences</li></ul> 
About the team 
About Digital Sovereignty at AWS? 
AWS has prioritized sovereignty since our beginning as the only major cloud provider allowing customers to control the location and movement of their data. Digital sovereignty means different things across countries and regions&mdash;there is no single definition. Through conversations with customers, analysts, and regulators, we have identified key themes: data residency and security, operator access restriction, resiliency and survivability, and independence and transparency.
 
The AWS European Sovereign Cloud represents our commitment to meeting the evolving sovereignty requirements of EU customers. Learn more:https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/
 
 
Why AWS? 
Work-Life Harmony We value work-life balance. Achieving success at work should never come at the expense of sacrifices at home, which is why flexibility is part of our working culture.
 
Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique.
 
Mentorship and Career Growth We continuously raise our performance bar as we strive to become Earth's Best Employer. You'll find endless knowledge-sharing, mentorship, and career-advancing resources to help you develop into a better-rounded professional.
 
Diverse Experiences Amazon values diverse experiences. Even if you do not meet all preferred qualifications, we encourage you to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>10+ years managing technical programs across cross-functional development teams</li><li>8+ years experience with Bachelor's degree, or 5+ years with Master's degree</li><li>Demonstrated experience building processes, coordinating release schedules, and working with software development teams</li><li>Proficiency in project management disciplines: scope, schedule, budget, quality, risk, and critical path management</li><li>Experience leading creation, revision, and improvement of standard operational procedures (SOPs)</li><li>Experience developing strategies that influence leadership decisions at the organizational level</li><li>Excellent written and verbal communication skills</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree in a technical field or MBA</li><li>Proven ability to influence without direct authority</li><li>Experience owning and driving a business roadmap strategy</li><li>Experience defining KPIs and SLAs used to scale businesses and provide reporting to senior leadership</li><li>Strong sense of ownership and ability to promote operational excellence</li><li>Excellent problem-solving skills with ability to work independently</li><li>Experience presenting decisions to leaders three levels above (L10/L11)</li><li>Deep knowledge of core system technologies or broad understanding of company systems and technologies</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Principal Technical Program Manager, Digital Sovereignty AWS Digital Sovereignty & European Sovereign CloudDigital

Nagarro

<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

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

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107 enterprise cloud architect jobs In Abu Dhabi

Senior Azure AI Infrastructure Architect

Senior Azure AI Infrastructure Architect

Senior Azure AI Infrastructure Architect

Azure Data Engineer

Principal Technical Program Manager, Digital Sovereignty AWS Digital Sovereignty & European Sovereign CloudDigital

AI Solution Architect

AI/ML Architect - GenAI and AgenticAI