What are the responsibilities and job description for the Technical Architect (.NET, Azure & AI) position at Photon?
Job Details
Technical Architect (.NET, Azure & AI)
About the Role
We are seeking a seasoned Technical Architect (.NET, Azure & AI) who brings deep expertise in cloud-native architecture, AI/GenAI implementation, and enterprise-grade .NET solutions. This role demands hands-on technical leadership, strong architectural vision, and the ability to guide cross-functional teams in building scalable, secure, and AI-driven applications on Microsoft Azure.
Key Responsibilities
Lead architecture, design, and delivery of complex solutions using .NET Core, Azure Cloud, and AI/GenAI services.
Assess, design, and implement AI solutions including Azure AI Foundry, RAG pipelines, vector search, LLM model integration, prompt orchestration, and GenAI workflows.
Integrate AI components into production-ready solutions with enterprise security, performance, and monitoring.
Create and review architecture diagrams, design documents, and technical specifications.
Drive engineering excellence: code reviews, CI/CD pipelines, test automation, refactoring, and documentation.
Enforce architecture standards, best practices, design patterns, and usability guidelines.
Architect and build reusable, testable modules and microservices using .NET Core.
Integrate applications with Azure services: APIM, Functions, AKS, App Insights, ADF, Storage Accounts, Azure SQL, NoSQL.
Design and manage Kubernetes-based deployments and containerized application stacks.
Implement secure authentication using OAuth, SAML, JWT, OIDC, and integrate SSO with major IAM providers.
Troubleshoot, optimize, and improve backend performance and cloud workloads.
Mentor development teams on modern technologies, cloud design patterns, and AI adoption.
Required Experience & Skills Core Technical Skills
10 years of hands-on experience with .NET Core, microservices, and enterprise cloud applications.
Strong expertise in Azure Cloud, including:
Azure API Management (APIM)
Azure Functions
Azure App Insights
Azure Data Factory
Azure Storage Services
Azure API Gateway
Experience with Azure Kubernetes Service (AKS) and containerized deployments (Docker/K8s).
Hands-on experience building and documenting APIs using Swagger / SwaggerHub.
Experience integrating microservices with Cloud SQL, File Storage, NoSQL, Graph DB.
AI/GenAI Experience
Azure AI Foundry (Mandatory)
Hands-on with GenAI, LLMs, RAG pipelines, vector stores, and building AI-powered enterprise solutions.
Experience deploying AI components securely and at scale.
Security & Identity
4 years of experience integrating SSO with REST APIs.
Deep understanding of OAuth, SAML, JWT, MFA, OIDC, and RBAC.
DevOps & Observability
Solid understanding of Azure DevOps pipelines and end-to-end automation.
Experience with analytics & monitoring tools such as Dynatrace, Firebase, Google Analytics.
Plus / Preferred
Azure Certifications such as:
Azure AI Engineer
Azure Solutions Architect
Azure DevOps Engineer
