Senior GenAI Engineer

The Senior GenAI Systems Analyst is responsible for architecting developing and delivering full-stack Gen AI applications leveraging a modern Azure-based technology stack This role partners closely with business stakeholders data engineers data scientists and product managers to create intelligent solutions that drive operational efficiency and elevate guest experiences The position provides technical leadership ensures best practices in cloud architecture and mentors junior engineers within a collaborative cross-functional environment, Leads the design and development of Gen AI-powered applications using Azure AI Foundry Azure Container Apps Azure AI Search

• and Azure Databricks Architects and implements scalable full-stack solutions with Nextjs Streamlit FastAPI Radix UI Tailwind CSS
• and Zustand Integrates multi-cloud Gen AI capabilities including AWS Bedrock and Google Vertex AI
• as required
• Implements secure authentication and authorization protocols using Azure AD and MSAL Designs and optimizes data pipelines utilizing Databricks Serverless SQL SQL Server
• and Azure Cosmos DB
• Develop intelligent retrieval systems leveraging Azure AI Search
• Manages APIs and microservices with Azure API Management and FastAPI Ensures security observability and cost-efficiency through Azure Monitor Log Analytics Azure Key Vault
• and Azure Cost Management Leads DevOps practices including CI/CD and infrastructure automation
• using Azure DevOps Supervises and mentor junior engineers
• fostering team growth and knowledge sharing

Bachelor’s degree in Computer Science Engineering

• or a related field

Minimum 4 years of experience in software engineering

• with at least 1 year in Gen AI or LLM-based application development
• Proven expertise in full-stack development and Azure cloud services
• Experience with enterprise identity management and secure coding practices
• Familiarity with Microsoft Copilot Studio and multi-cloud Gen AI platforms Deep understanding of Gen AI architectures
• including Retrieval-Augmented Generation (RAG) Proficiency in Azure AI Foundry Azure Container Apps Azure AI Search Azure Databricks
• and related technologies Strong knowledge of Nextjs Streamlit FastAPI Radix UI Tailwind CSS Zustand
• and API management
• Experience designing and optimizing data pipelines and managing cloud infrastructure for cost efficiency
• Demonstrated ability to lead technical projects and mentor junior engineers
• Strong communication skills with the ability to present solutions to both technical and non-technical stakeholders
• Collaborative mindset with a focus on cross-functional teamwork and continuous improvement

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