Enterprise Cloud and AI Engineer
Tasks
- Apply authentication authorization caching and messaging patterns
- Architect for performance security and scale
- Build and maintain middleware and API integration layer
- Collaborate on API contracts and shared data models
- Design build and operate Azure cloud solutions
- Design data models and pipelines using SQL and document databases
- Implement AI powered agentic and generative features
- Integrate enterprise systems and ensure secure reliable data flow
- Own CI CD pipelines and DevOps practices
- Provide technical leadership and mentor developers
- Use AI assisted development tools to improve delivery
Perks/Benefits
- 401K company matching
- Certification support
- Continuous training
- Flexible PTO
- Flexible spending accounts
- Health insurance coverage
- Hybrid work environment
- Learning opportunities
- Monthly work-from-home stipend
- Remote work option
Skills/Tech-stack
.NET | AI Search | Authentication | Authorization | Azure | Azure AI | Azure AI Search | Azure Cognitive | Azure Cognitive Search | Azure DevOps | Azure Machine Learning | Azure OpenAI | C# | Caching | Cognitive Search | Copilot Studio | Cosmos DB | Event Driven | Event-driven architecture | GitHub Actions | GitHub Copilot | GraphQL | Machine Learning | Messaging | Microservices | Microsoft 365 | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Fabric | Microsoft Graph | Next.js | REST | React | SQL Server | Salesforce | SharePoint | TypeScript
Education
N/A
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