Cloud Solutions Architect Database Engineer AI Platform Architect

Overview

Design and build scalable cloud database security API and AI infrastructure for enterprise applications. Establish secure high availability environments and translate business requirements into technical solutions. Lead development of production AI architectures using OpenAI Azure OpenAI Anthropic Google AI.

What You'll Do23

• 1Architect and implement scalable secure highly available cloud environments for enterprise applications
• 2Design backend architecture supporting web applications internal systems integrations and AI powered solutions
• 3Develop production database environments including schemas tables relationships stored procedures views indexing strategies and data access patterns
• 4Optimize SQL Server databases for performance scalability reliability data integrity and security
• 5Establish database standards covering data modeling normalization indexing query optimization auditing backup recovery and disaster recovery
• 6Design secure RESTful APIs and backend services using C# ASP.NET Core and .NET technologies
• 7Implement authentication and authorization solutions using OAuth 2.0 OpenID Connect JWT SSO RBAC and enterprise identity providers
• 8Define API contracts request response models validation standards error handling versioning documentation and integration patterns
• 9Implement application and API security standards including SSL/TLS encryption secrets management certificate management secure configuration and least privilege access
• 10Design secure communication between cloud services databases APIs external systems AI services and front end applications
• 11Create integration architectures for internal systems third party applications vendor APIs and enterprise platforms
• 12Develop data pipelines ETL processes and system-to-system integrations where required
• 13Establish logging monitoring auditing and observability standards across backend services and cloud infrastructure
• 14Design scalable architectures supporting increasing users transaction volumes data volumes integrations AI workloads and application workloads
• 15Implement caching asynchronous processing queues background services and distributed architecture patterns when appropriate
• 16Develop and maintain CI/CD pipelines and infrastructure deployment processes
• 17Collaborate with front end developers to define API requirements data contracts authentication flows AI service interactions and integration standards
• 18Design AI workflow architectures enabling large language models to perform complex business functions through process sequences system instructions prompt strategies retrieval mechanisms examples evaluation methods tool interactions and orchestration workflows
• 19Architect RAG systems retrieving enterprise information from databases documents APIs and vector stores
• 20Establish secure AI integration patterns controlling LLM access to enterprise databases APIs internal systems and sensitive information
• 21Set AI evaluation testing monitoring and quality standards measuring accuracy reliability consistency security and effectiveness
• 22Lead architecture code reviews and establish backend database API cloud security and AI development standards
• 23Provide technical leadership mentoring developers on architecture and AI implementation

Salary Insight