Lead, GenAI Engineer
Miami, FL, US, 33131
USD 125K-258K (estimate) Senior-level Full Time
Tasks
- Architect and develop Gen AI applications using Azure
- Build full stack Gen AI solutions
- Conduct feasibility studies and proof of concepts
- Design and execute LLM and Copilot integration strategies
- Design and optimize data pipelines
- Develop AI model deployment scaling and monitoring best practices
- Develop retrieval augmented generation retrieval systems
- Ensure security, observability, and cost-efficiency
- Implement authentication and authorization
- Integrate multi-cloud Gen AI capabilities
- Lead CI/CD and infrastructure automation
- Manage APIs and microservices
- Supervise and mentor engineers
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI Search | AWS Bedrock | Active Directory | Azure AI | Azure AI Foundry | Azure AI Search | Azure APIM | Azure Active Directory | Azure Container | Azure Container Apps | Azure Cosmos | Azure Cosmos DB | Azure Cost Management | Azure Databricks | Azure DevOps | Azure Key Vault | Azure Monitor | CI/CD | Container Apps | Copilot Studio | Cosmos DB | Cost Management | Databricks Serverless | Databricks Serverless SQL | FastAPI | Google Vertex | Google Vertex AI | Infrastructure automation | Key Vault | Language Models | Large Language Models | Log Analytics | MSAL | Microsoft Copilot | Microsoft Copilot Studio | Next.js | RAG | Radix-UI | Retrieval-Augmented Generation | SQL Server | Serverless SQL | Streamlit | Tailwind CSS | Vertex AI | Zustand
Education
Roles
AI Engineer | Engineer | Gen AI Engineer | Lead | Lead Gen-AI Engineer
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