Senior Associate Cloud Architect – Azure, Security & AI

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Key Responsibilities
Azure Solution Architecture
Design Azure-based infrastructure and platform solutions for enterprise, commercial, and public sector customers.
Develop secure, scalable, highly available, and resilient cloud architectures aligned to Microsoft's Cloud Adoption Framework and Azure Well-Architected Framework.
Conduct cloud readiness assessments, workload discovery, architecture reviews, and solution recommendations.
Support Azure Landing Zone design and implementation initiatives.
Produce architecture diagrams, solution blueprints, technical design documents, and migration roadmaps.
Cloud Migration & Modernization
Assess customer environments and define migration and modernization strategies for applications, servers, databases, and workloads moving to Azure.
Support migrations using Azure-native tools including Azure Migrate and Azure Site Recovery.
Design hybrid cloud architectures integrating on-premises systems with Azure services.
Assist customers in modernizing workloads through containers, Kubernetes, serverless computing, and Platform-as-a-Service (PaaS) capabilities.
Support business continuity, backup, disaster recovery, and resilience planning initiatives.
Pre-Sales & Customer Engagement
Participate in customer discovery sessions, architecture workshops, and technical assessments.
Contribute to RFPs, RFIs, proposals, Statements of Work (SoWs), and technical responses.
Present cloud, security, and AI solutions to technical, business, and executive stakeholders.
Support account teams in identifying Azure consumption growth opportunities and cloud transformation initiatives.
Assist customers in developing cloud adoption and digital transformation roadmaps.
Act as a trusted technical advisor throughout the customer engagement lifecycle.
AI & Data Platform Enablement
Support customers in designing cloud architectures that enable AI, analytics, automation, and data-driven transformation.
Assist in identifying and developing opportunities leveraging Azure AI Services, Azure OpenAI, Azure Machine Learning, Microsoft Fabric, and Microsoft Copilot technologies.
Support development of AI-ready data platforms and cloud-native architectures.
Collaborate with customers to evaluate AI readiness, governance requirements, and Responsible AI practices.
Design integrations between AI services, customer applications, business workflows, and enterprise systems.
Help customers understand the business value, risks, and opportunities associated with AI adoption.
Cost Optimization & Operational Excellence
Support Azure consumption reviews and optimization assessments.
Identify opportunities for cost savings through rightsizing, Reserved Instances, Savings Plans, and resource optimization.
Assist customers in implementing FinOps and cloud financial management best practices.
Recommend improvements related to performance, reliability, availability, operational efficiency, and scalability.
Support operational governance and resource lifecycle management initiatives.
Security, Governance & Compliance
Apply Microsoft security best practices across Azure environments covering identity, infrastructure, network, application, and data security.
Support implementation of Zero Trust security principles within customer environments.
Design and support solutions utilizing Microsoft Entra ID, Microsoft Defender for Cloud, Microsoft Sentinel, Microsoft Purview, and related security services.
Implement governance frameworks using Azure Policy, Management Groups, Landing Zones, and security baselines.
Conduct cloud security assessments, architecture reviews, risk evaluations, and remediation planning activities.
Support compliance initiatives aligned to ISO 27001, GDPR, PCI-DSS, CIS Benchmarks, and industry-specific regulatory requirements.
Assist customers in strengthening cybersecurity posture through monitoring, threat detection, identity protection, and security operations best practices.
Managed Services Enablement
Support the design and transition of customer environments into managed service operational models.
Collaborate with delivery teams to establish cloud operational standards and support frameworks.
Assist in designing monitoring, alerting, backup, recovery, patching, and operational governance solutions.
Participate in service reviews, health checks, and continuous improvement initiatives.
Identify opportunities to expand customer engagement through managed services offerings.
Internal Collaboration & Enablement
Collaborate with cloud engineering, security, AI, data, and delivery teams to develop customer solutions.
Work closely with Microsoft account teams, specialists, and partner ecosystem stakeholders.
Support internal capability development and knowledge-sharing initiatives.
Stay current with Microsoft's cloud, security, AI, and data platform innovations.
Contribute to solution templates, architecture standards, methodologies, and best practices.
Knowledge & Skills
Azure Architecture
Strong understanding of Azure Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).
Knowledge of Azure Virtual Machines, Storage, App Services, Azure SQL, Kubernetes, Networking, and Identity Services.
Experience designing scalable, highly available, and secure cloud architectures.
Understanding of Azure Landing Zones and Cloud Adoption Framework principles.
Networking & Infrastructure
Experience with Azure Virtual Networks (VNets), NSGs, Azure Firewall, Load Balancers, Route Tables, DNS, and Traffic Manager.