Senior Engineer, Enterprise Ai Services
Current● Enterprise Snowflake AI Data Cloud ✓ Administrating work: Onboard accounts/teams, manage databases/users/roles/permissions; define and enforce SSO/OAuth/network/secret policies; analyze and optimize application performance; monitor and ensure cost efficiency; implement replication/DR solutions. ✓ Data Engineering work: Stage data from AWS S3/Azure blob, work with teams/partners transforming data for analytics platform; Integrate Snowflake with ServiceNow, PowerBI, Alteryx, Tableau and resolve customer connection issues. ✓ Development work: Work on home-grown Snowflake admin/monitoring tools using Python; Create streamlit/native app to provide excellent experiences for delegate admins.● AWS Cloud ✓ Develop and enhance enterprise pattern for AWS service DynamoDB, MemoryDB, EMR, OpenSearch etc. ✓ Develop OpenAI integration for RAG workflow via OpenSearch connector ✓ Orchestrate CI/CD pipelines with EventBridge, Codepipeline, EMR and GitHub ✓ Implementing Bedrock LLM cross-region inference to provide load balance, throughput and high availability● Azure Cloud LLMOps solution including APIM, container app and OpenAI ✓ Cross-region/subscription inference based on LLM PTU token usage, requests and health status. ✓ End to end traffic protected by private networks/endpoints. ✓ Additional security layer of OAuth authorization provided by Azure Entra. ✓ GitHub Actions based CI/CD pipeline using Bicep ✓ Lead engineering effort● Bigdata platform with Hadoop, Spark and Kafka workloads