Azure Technical Architect with AI-ML Knowledge

About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.

Role Summary

We are seeking a highly experienced and technically strong Azure Technical Architect who will lead the design and implementation of enterprise cloud infrastructure and begin to integrate AI/ML capabilities. This role will require deep hands-on experience with infrastructure (on-prem/VMs/hybrid), extensive Azure cloud architectural experience, and a working knowledge of machine learning and AI so that you can partner with data science/ML teams and enable next-gen capabilities.

Key Responsibilities

• Define and drive the technical architecture for Azure cloud (IaaS, PaaS, hybrid) infrastructure, ensuring alignment with business objectives, scalability, security, costoptimisation, reliability and operational excellence.
• Lead design and deployment of Azure Landing Zones / enterprise cloud adoption frameworks and reference architectures (governance, subscriptions, management groups, identity, networking).
• Hands-on design and implementation of infrastructure including compute (VMs, VM scale sets, containers/AKS), storage, databases, networking (VNet, peering, VPN/ExpressRoute, firewall, load balancers), identity & access (Azure AD, RBAC, managed identities), hybrid connectivity.
• Build and own Infrastructure as Code (IaC) modules/templates (e.g., Terraform, ARM, Bicep), CI/CD pipelines for infrastructure provisioning and deployments.
• Lead and execute cloud migration strategies (on-prem → Azure, legacy workloads → cloud native), uplift existing systems, modernise infra, containerise where appropriate.
• Ensure cloud security and compliance: enforce Azure best-practices, implement monitoring/logging (Azure Monitor, Log Analytics), guard-rails, cost governance, disaster recovery/business continuity, encryption, network segmentation.
• AI/ML Integration: Work with data science/ML teams to architect and enable infrastructure and cloud services for ML/AI workloads—this includes responsible for enabling compute/data pipelines, containerisation, MLOps readiness, Azure ML, etc.
• Provide technical leadership, mentoring and guidance to engineers, drive technical decision-making, perform architecture reviews, evaluate vendor/technology options.
• Engage with stakeholders (business, IT leadership, external vendors) to understand requirements, create solution proposals, define technical roadmaps, present architecture, drive buy-in.
• Establish and maintain architectural standards, patterns, reusable components, documentation (HLD/LLD, runbooks) and ensure their adoption.
• Monitor and optimise Azure environment performance, cost, scalability and reliability over time — propose continuous improvement initiatives.
• Stay current with emerging AI/ML trends and Azure services so you can guide future integration of AI capabilities into infrastructure/cloud platforms.

Required Skills & Experience

• 10-15 years of total IT experience, with a strong technical focus and hands-on background in infrastructure, cloud, and architecture roles.
• Deep practical experience with Microsoft Azure: IaaS, PaaS, containers (AKS), storage, databases, networking, identity & access. (Design + implementation)
• Strong infrastructure background: on-prem compute/virtualisation (VMware/HyperV), networking (TCP/IP, routing, firewalls), storage, hybrid connectivity.
• Proven experience in designing and deploying cloud architectures (including hybrid/multi-cloud) for enterprise scale (large environments, many subscriptions, complex connectivity).
• Proficiency with Infrastructure as Code (IaC) tools such as Terraform, ARM templates or Bicep — creating reusable modules and automating deployments.
• Experience in DevOps / CI-CD / automation for infrastructure provisioning and integration with application delivery.
• Strong skills in cloud networking (VNets, peering, VPN, ExpressRoute, NSG/ASG, firewalls), identity & security (Azure AD, RBAC, managed identities, Key Vault) and governance (subscriptions, management groups, cost controls).
• Basic AI/ML knowledge: Familiarity with machine learning fundamentals (supervised/unsupervised, feature engineering, model deployment concepts), and exposure to Azure ML or other equivalent services; able to collaborate with data/ML teams to enable infrastructure for ML.
• Good communication and presentation skills — able to engage with senior stakeholders and translate business needs into technical architecture.
• Proven track record of leading/mentoring technical teams, driving adoption of architecture and standards.
• Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert (or equivalent) strongly preferred

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 & re-skilling.
• Competitive compensation & 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.

Job Types: Full-time, Permanent

Pay: AED350,000.00 - AED450,000.00 per year

License/Certification:

• Azure Solutions Architect Expert certification (Preferred)