Solution Architect - Azure & AI

Job Description

Azure Solution Architecture & Design

Define end-to-end Azure architectures across IaaS, PaaS, hybrid cloud, and AI/ML workloads, aligned with enterprise standards and customer objectives.
Lead advanced discovery and architecture workshops with technical and business stakeholders.
Translate complex customer requirements into secure, scalable, and cost-efficient Azure solution designs.
Produce architecture deliverables including reference architectures, HLDs, LLDs, bills of materials, and professional services scopes.
Define workload migration strategies including rehosting, re-platforming, and cloud-native modernization.

AI & Advanced Cloud Innovation:

Architect AI and Generative AI solutions using Azure OpenAI Service, Azure AI Foundry, Cognitive Services, and Azure Machine Learning.
Design Copilot integrations, retrieval-augmented generation (RAG) pipelines, and custom LLM-based applications tailored to business use cases.
Define AI governance models, responsible AI practices, and MLOps frameworks to ensure AI solutions are secure, compliant, and production ready.

Pre-Sales Technical Enablment:

Act as the senior technical lead throughout the pre-sales lifecycle, delivering solution presentations, architecture briefings, executive sessions, and proof-of-concept demonstrations.
Partner with Account Managers to shape opportunities through strong technical qualification, solution positioning, and value-based architecture narratives.
Support RFPs, RFIs, and RFQs by providing technical responses, solution scoping, and effort estimation.
Own the technical sales deliverables from opportunity identification through solution sign-off.
Ensure effective handover from pre-sales to delivery teams, maintaining architectural continuity.

Security, Governance & Platform Foundations:

Embed security by design principles across all architectures using Microsoft Defender, Azure Security Center, Microsoft Sentinel, and Azure Policy.
Ensure proposed solutions meet applicable regulatory and compliance requirements (e.g., ISO 27001, GDPR, NCA, and industry-specific standards).
Design enterprise landing zones using Azure Landing Zones and the Cloud Adoption Framework, including governance, RBAC, networking, and policy guardrails.

Delivery Oversight & Practice Contribution:

Provide architectural governance throughout delivery to ensure implementations adhere to approved designs and Azure Well-Architected Framework principles.
Act as a technical escalation point for complex design or delivery challenges.
Develop and maintain internal reference architectures, best practices, and reusable solution accelerators.
Stay current with Azure platform evolution, Microsoft AI roadmap, and market trends, contributing to internal enablement and knowledge-sharing initiatives.

Key Competencies:

Deep technical expertise across Azure infrastructure, platform, security, data, and AI services
Strong architectural judgment with the ability to design for scale, resilience, governance, and security simultaneously
Excellent communication and storytelling skills, able to engage executives and engineering teams alike
Consultative mindset focused on aligning technology decisions with business outcomes
Collaborative approach with experience working alongside Sales, Delivery, and Partner ecosystems
Strong documentation skills across architecture diagrams, solution proposals, and technical narratives

Requirements:

7–9+ years of experience in IT, with at least 4–5 years focused on Microsoft Azure architecture and solution design
Proven track record of architecting and delivering complex, multi-workload Azure solutions in enterprise environments
Hands-on experience with core Azure services including Virtual Machines, AKS, App Service, Azure SQL, Cosmos DB, Storage, and Azure Networking (VNet, ExpressRoute, Azure Firewall)
Practical experience with Azure AI services including Azure OpenAI, Azure AI Foundry, Cognitive Services, and Azure Machine Learning
Strong understanding of hybrid and multi-cloud architectures, including Azure Arc and Azure VMware Solution
Experience with DevOps practices, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep, ARM)
Solid identity and access management knowledge using Microsoft Entra ID, Conditional Access, and Privileged Identity Management
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field

Preferred Qualifications:

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