Cloud Solutions Architect Azure & GenAI
Posted:
26 May 2026 (30+ days ago)
Application Deadline:
23 August 2026
Vacancies:
1 Vacancy
Job Summary
Location: Calgary AB
Work Style: Onsite
Skills: Digital : Microsoft AzureAI & Gen AI - Products & Tools
Experience Required: 6-8
Role Descriptions:
Microsoft Azure and Primary skills required are Deep knowledge in public Cloud technologies and DevOps integration using Jenkins GitLab and Kubernetes.
Contributions to open-source GenAIML projects or published papers.
Familiarity with LangChain LlamaIndex or similar orchestration frameworks
Expectations from the Role:
1 Provide inputs recommendations for Cloud design planning defining strategic roadmap defining network policies.
2 Handling of level-3 escalated tickets critical change implementation creation of Cloud design documents such as HLD LLD.
3 Implementation of Cloud Foundation services such as VNET VNET Peering VPN setup Express Route.
4 Provide recommendations/inputs for Cloud service improvement documentations support audits provide inputs during service review meetings with third party vendors WAN service providers on VPN WAF API gateway etc.
5 SPOC for Customer Attend CAB meeting Monitoring & review of Service levels service availability health and performance monitoring.
Must Have:
1) Have 10 plus years of experience in design and implementation of Cloud technologies primarily Microsoft Azure and AWS
2) Working Knowledge/experience in implementing the Cloud Foundation services such as VNET VNET Peering VPN setup Express Route
3) Experience in carrying out the MAP tool assessments and Site Recovery deployment planner tool
4) Working knowledge/experience in designing and implementing Azure AD and user migrations from On Premise
5) Working knowledge/experience in deployment of Open VPN WAF API gateway etc.
6) Working knowledge/experience in setting up AD DNS Backup Configurations Monitoring Solutions Patching
7) Hands on experience in Automation scripts such as Windows PowerShell/Bash Python Scripting etc. Embed GenAI capabilities into web mobile and edge applications
8) Migrating the On Premise Workloads to Cloud using Cloud Native toolsets such as ASR (Azure Site Recovery) Azure Migrate and AWS Migration Hub etc.
9) Theoretical/working knowledge in CI/CD concepts and tools such as Azure DevOps / GitLab
10) Knowledge in ARM templates and familiar with containers such as Openshift Kubernetes Docker etc.
11) Expert level knowledge in Cloud Foundation design and Disaster Recovery scenarios
12) Preparing Complex Cloud Designs and good problem solving skills including develop and deploy Infrastructure as Code (IaC) using Azure Bicep or Terraform
13) Maintain Good Customer Rapport and should be to leading the Implementation and Migration Projects on Large Scale
14) Good communication analytical presentation and documentation skills
Good to Have:
1) Experience with IT Service Management Tools (preferably Remedy Service Now)
2) Working Knowledge of Core Services such as AD DNS Monitoring Backup Patching and Security tools
3) Must to have Azure Administrator Associate and anyone of the Architect certifications - Microsoft Azure 70-534 or 70-535
4) Must to have Azure Solutions Architect Expert certification Azure DevOps Engineer Expert certification AWS Certified Solutions Architect certification
5) Handling Multi Cloud platform is an advantage
6) Good Understanding and Working knowledge on DC migration P2V and V2V migrations
Technical Skills:
Technical Skills 1) Azure Fundamentals:
a. Comprehensive understanding of Azure services solutions and management tools.
b. Familiarity with Azure architecture including regions availability zones and resource groups.
2) Infrastructure Management:
a. Proficiency in creating and managing virtual machines networks and storage solutions.
b. Experience with Azure Virtual Network VPN Gateway and ExpressRoute.
3) CI/CD and DevOps:
a. Knowledge of continuous integration and continuous deployment (CI/CD) practices.
b. Experience with Azure DevOps GitHub Actions and other CI/CD tools.
c. Automating deployment processes using pipelines and infrastructure as code (IaC) with ARM templates Terraform or Bicep.
4) Identity and Access Management (IAM):
a. Managing identities and access with Azure Active Directory (Azure AD).
b. Implementing role-based access control (RBAC) and managing security policies.
5) Database Management:
a. Expertise in Azure SQL Database Azure Cosmos DB and other database services.
b. Skills in database design optimization and maintenance.
6) Security and Compliance:
a. Implementing security best practices and maintaining compliance with industry standards.
b. Experience with Azure Security Center Azure Policy and Azure Sentinel.
7) Monitoring and Optimization:
a. Using Azure Monitor Log Analytics and Application Insights for performance monitoring and optimization.
b. Troubleshooting and resolving issues to ensure high availability and reliability.
8) AI Automation:
a. Building and shipping GenAI or LLM-driven products.
b. Advanced Python (FastAPI PyTorch Hugging Face); plus proficiency in TypeScript/ Go or Java.
c. Production experience on AWS or Azure with GPU workloads (SageMaker Bedrock Azure ML).
d. Strong grasp of algorithms distributed systems and data engineering (Spark Kafka Delta Lake).
e. Commitment to responsible AI data governance and cybersecurity best practices for critical infrastructure.
Soft Skills:
1) Problem-Solving:
a. Analytical thinking and the ability to troubleshoot complex issues.
b. Creativity in designing innovative solutions.
2) Communication:
a. Effective communication with technical and non-technical stakeholders.
b. Ability to document and present architectural designs and solutions clearly.
3) Continuous Learning:
a. Staying updated with the latest Azure features best practices
Required Skills:
Scala