Business Intelligence & AI Automation Engineer – Amazon Quick Suite / AWS Analytics

Introduction

We are seeking a skilled Business Intelligence (BI) and AI Automation Engineer with strong expertise in Amazon Quick Suite (including QuickSight) and AWS analytics services to support business teams in building scalable, self-service reporting solutions and intelligent workflow automation. The ideal candidate will partner closely with business stakeholders to understand reporting and automation needs, enable self-service analytics, design reusable reporting frameworks, build AI-powered workflows, and implement agentic AI solutions that reduce manual effort, compute costs, and improve operational efficiency across the organization. This role requires a mix of technical BI development, data modeling, AI agent design, workflow automation, stakeholder collaboration, and cost optimization within AWS.

Responsibilities

1. Quick Suite Development & AI-Powered Reporting
   • Design, develop, and maintain interactive dashboards, datasets, and visualizations in Amazon QuickSight (now part of Quick Suite).
   • Build and configure Quick Chat agents to enable natural language querying across business data sources.
   • Design Quick Spaces that group data, applications, and AI agents for specific business functions or teams.
   • Build high-performance dashboards optimized for large datasets and fast refresh times.
   • Implement row-level security (RLS) and governance controls for business users and AI agents.
2. AI Workflow Automation & Agent Development
   • Design and implement Quick Flows to automate repetitive business tasks.
   • Build Quick Automate workflows for complex, multi-step enterprise processes.
   • Create custom Chat Agents with tailored system prompts for specific business roles.
   • Configure Quick Research capabilities to enable deep business intelligence research.
   • Integrate Quick Suite with enterprise applications via connectors.
3. Self-Service BI & AI Enablement
   • Work directly with business users and analysts to enable self-service reporting and AI automation capabilities.
   • Provide guidance on best practices for dashboard design, data consumption, and AI agent usage.
   • Create reusable data models, templates, reporting accelerators, and workflow automation patterns.

Requirements

Required Skills

• 8+ years of experience in Business Intelligence, Analytics Engineering, or Data Visualization.
• Strong hands-on experience with Amazon Quick Suite (including QuickSight).
• Experience designing interactive dashboards and enterprise reporting solutions.
• Solid knowledge of SQL and data modeling.
• Experience working with AWS analytics services such as Athena, Redshift, S3, Glue.
• Experience enabling self-service analytics for business users.

Preferred Skills

• Experience building conversational AI agents, chatbots, or automation workflows.
• Experience with API integrations, webhooks, and enterprise application connectors.
• Experience with BI governance and semantic layer design.
• Familiarity with data pipelines and ETL frameworks.
• Knowledge of AWS cost optimization strategies.
• Experience supporting large-scale enterprise reporting environments.
• Experience with other BI tools such as Tableau, Power BI, or Looker.
• Experience with low-code/no-code automation platforms.