Lead AI Engineer — Databricks & Multi-Agent LLMs

Insight Global; Orlando (FL); On-site; USD 120,000 - 150,000; Full time

Job summary

Insight Global is seeking an innovative AI Engineer to design, develop, and deploy autonomous AI agents and production-ready AI applications that enhance Data Science and BI capabilities. You will collaborate across Data Science, Product, Engineering, and Analytics to deliver scalable agent-based solutions.

The role requires expertise in LLMs, multi-agent orchestration, and retrieval-augmented generation, with hands-on use of Cursor and GitHub Copilot for rapid development and secure,

Qualifications

• Proficiency with AI-assisted development tools (Cursor, GitHub Copilot) for rapid, high-quality application development including agent mode, rules configuration, and context management.
• Expert Python and strong software engineering practices (testing, packaging, code review, version control). Strong Databricks experience.

Responsibilities

• Design, develop, and deploy autonomous AI agents and production-ready AI applications that elevate Data Science and Business Intelligence capabilities.
• Partner with Data Science, Product, Engineering, and the Information Management & Analytics team to deliver scalable agent-based solutions across marketing, sales, operations, and member experience.
• Build, test, and maintain agent workflows that automate complex business processes while ensuring security, reliability, responsible AI practices, and enterprise-grade quality.

Skills

Python

Software engineering practices

Databricks

Tools

Cursor

GitHub Copilot

Job description

Insight Global is seeking an innovative AI Engineer to design, develop, and deploy autonomous AI agents and production-ready AI applications that enhance Data Science and BI capabilities. You will collaborate across Data Science, Product, Engineering, and Analytics to deliver scalable agent-based solutions.

The role requires expertise in LLMs, multi-agent orchestration, and retrieval-augmented generation, with hands-on use of Cursor and GitHub Copilot for rapid development and secure,