Python AI Solutions Architect

We are building the next generation of AI-powered applications that deliver actionable financial and marketing insights to our clients. As an AI Engineer focused on backend development, you'll be instrumental in designing and developing multiple agentic AI applications that integrate with data lakehouses and business intelligence platforms. This is not a single-project role. You'll work on a pipeline of AI-driven solutions across various use cases, all built on a common architecture leveraging cutting-edge LLM technologies, agentic frameworks, and cloud infrastructure.

What You'll Build

• Agentic chatbot applications Agentic chatbot applications with conversational UI for financial and marketing insights
• RAG-based systems RAG-based systems that intelligently retrieve and synthesize information from enterprise data sources
• MCP (Model Context Protocol) integrations MCP (Model Context Protocol) integrations for tool calling and external system interactions
• Real-time visualization generation Real-time visualization generation including graphs, charts, and dynamic dashboards
• Sandboxed code execution environments Sandboxed code execution environments for safe AI-generated code runs
• LLM benchmarking systems LLM benchmarking systems to evaluate and switch between models (AWS Bedrock, Azure AI Foundry) as new versions emerge
• Data integration pipelines Data integration pipelines connecting to SQL-based data lakehouses and Tableau dashboards

Key Responsibilities

Development

Data & SQL

AI / ML Operations

DevOps & Deployment

Collaboration

Required Qualifications

Technical Skills

AI / ML Experience

Soft Skills

Preferred Qualifications