CONSULTANT

PFB the Job Description

 Strong Agentic AI Developers specializing in Azure, Snowflake, and PostgreSQL builds autonomous, multi-step AI agents that interact with enterprise data. Key responsibilities include build/designing workflows using Azure AI Foundry, integrating Snowflake's Cortex AI for data insights, and leveraging PostgreSQL (via pgvector) for vector storage to enable LLMs to execute actions, retrieve information, and manage complex tasks.

 Key Role & Skills Profile

• Agent Development: Building systems that use LLMs to take actions, not just generate content (LangChain, AutoGen, or similar frameworks).
• Azure AI Foundry: Designing, testing, and deploying agentic workflows.
• Snowflake Data Cloud: Utilizing Snowflake Cortex for LLM inference, SQL queries, and vector storage.
• PostgreSQL & Vector Data: Implementing pgvector for similarity searches to provide context to AI agents.
• System Integration: Connecting data sources (SQL, APIs) and automating workflows.

 Key Responsibilities

• Build Autonomous Agents: Designing and developing agents that independently parse information, plan, and execute tasks.
• Data Grounding: Using Snowflake and PostgreSQL to ensure agents have accurate, up-to-date data.
• Security & Compliance: Implementing RAG (Retrieval-Augmented Generation) within Azure, ensuring secure data access.
• Workflow Optimization: Using Cortex Code to optimize SQL for AI-driven data interactions.

Skills

• Strong Experience with Python and LLM APIs (Azure OpenAI).
• Strong SQL skills and understanding of data warehousing (Snowflake).
• Knowledge of vector databases and retrieval mechanisms.
• Experience with Azure services (App Service, Functions, Azure SQL).