AI Engineer - Snowflake

Beinex is looking for innovative AI Engineers / AI Transformation Specialists to join our growing AI practice. You will help identify, design, build, deploy, and monitor AI-enabled solutions across the organization using platforms such as Microsoft Azure AI, the Microsoft Copilot ecosystem, Snowflake Cortex, Snowflake AI/ML capabilities, and modern LLM and agentic AI frameworks.

In this role, you will work on AI-driven automation, intelligent agents, knowledge retrieval systems, and enterprise AI applications that deliver measurable business value. If you're passionate about Generative AI, Agentic AI, Copilot technologies, and building scalable AI solutions, we'd love to hear from you. We are looking for proactive professionals who take ownership, embrace challenges, and get things done.

• Translate business problems into AI use cases, technical requirements, and solution designs.
• Design and build AI agents and agentic workflows to support knowledge retrieval, task execution, document analysis, summarization, workflow orchestration, and decision support.
• Build reusable AI components that can be embedded across business applications and internal portals.
• Implement prompt management practices, including prompt versioning, testing, evaluation, and reuse.
• Build and configure solutions using Microsoft Azure AI services, including Azure OpenAI, AI Search, AI Foundry/Azure AI Studio, Document Intelligence, Content Safety, and related services.
• Support the adoption and customization of Microsoft Copilot and Microsoft 365 Copilot capabilities.
• Build AI and ML solutions using Snowflake Cortex, Snowflake AI/ML capabilities, and Snowpark where applicable.
• Support development of feature stores, model registries, vector stores, and AI-ready data products.
• Work with data engineers to prepare, structure, and govern data for AI use cases.
• Support CI/CD pipelines for AI and ML models, prompts, agents, and AI application components.
• Implement model versioning, deployment workflows, automated testing, monitoring, and rollback practices.
• Support model registry, feature store, vector store, and LLM hosting patterns.
• Apply responsible AI principles across solution design and deployment.
• Support documentation of AI use cases, risks, controls, data sources, model behavior, limitations, and approval requirements.

• Hands-on experience with Microsoft 365 Copilot, Copilot Studio, Power Platform, Power Automate, Teams, Outlook, SharePoint, and Microsoft Graph.
• Strong knowledge of Snowflake Cortex, Snowflake AI/ML, Snowpark, SQL, Python, and modern data engineering practices.
• Experience in developing LLM-powered applications, including prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, embeddings, semantic search, and AI agents.
• Understanding of AI/ML lifecycle management, including model registries, feature stores, vector stores, and deployment best practices for ML and LLM solutions.
• Experience implementing CI/CD pipelines for AI and ML applications using Azure DevOps, GitHub Actions, or similar platforms.
• Familiarity with model monitoring, drift detection, performance evaluation, prompt assessment, and AI observability frameworks.
• Knowledge of the insurance domain will be considered an added advantage.
• Skin in the game - proactive, hardworking, and able to get things done.