Lead AI Engineer

Insight Global; Boca Raton (FL); Hybrid; USD 180,000 - 280,000; Full time

Job summary

Insight Global is seeking a Lead or Hands-on Manager of AI Engineering to join their customers team in a hybrid role based in Boca Raton, FL. This position blends leadership with hands-on technical work across data engineering, AI, and enterprise data platforms.

In this role, you will guide data platform architectures, deploy GenAI solutions, and collaborate with stakeholders to deliver analytics and executive reporting.

Qualifications

• 7+ years in data or analytics engineering or enterprise data solutions.
• 2-3+ years of people leadership while staying hands-on.
• Strong Databricks and Azure Data Platform experience.
• Proficiency in Python, SQL, Spark or PySpark.
• Experience deploying AI/GenAI in production environments.

Responsibilities

• Lead multiple AI/engineering initiatives and coach technical teams.
• Build and maintain enterprise data platforms and lakehouse architectures.
• Partner with stakeholders to deliver executive reporting and self-service BI.
• Drive data integrations and distributed systems architecture.

Skills

Data engineering

Analytics engineering

Enterprise data platforms

Leadership

AI/GenAI

Python

SQL

Spark / PySpark

Tools

Databricks

Azure Data Platform

Kafka

Azure Event Hub

Terraform

Kubernetes

Docker

Snowflake

dbt

Job description

Insight Global is seeking a Lead or Hands on Manager of AI Engineering to join their customers team! This role is Hybrid 2 days in the Boca Raton office.

Required Skills & Experience

• 7+ years of experience in Data Engineering, Analytics Engineering, Data Platforms, or Enterprise Data Solutions.
• 2-3+ years of recent people leadership experience managing technical teams, while still staying hands on.
• Strong hands-on experience with Databricks and Azure Data Platform technologies.
• Expertise with Python, SQL, Spark, and/or PySpark.
• Experience building and supporting enterprise-scale data platforms and Lakehouse architectures.
• Demonstrated experience deploying AI/GenAI solutions in production environments.
• Experience with AI Agents, Agentic Workflows, RAG, LLMs, or similar modern AI technologies.
• Strong understanding of enterprise data integrations, APIs, and distributed systems.
• Experience delivering executive reporting, analytics, and self-service BI solutions.
• Experience with dimensional modeling, semantic layers, and enterprise data modeling.
• Strong stakeholder management and communication skills with both technical and business audiences.
• Proven ability to lead multiple initiatives while coaching and developing technical teams.

Nice to Have Skills & Experience

• Experience with LangChain, LangGraph, Semantic Kernel, MCP (Model Context Protocol), or other agentic AI frameworks.
• Experience with Azure OpenAI or enterprise GenAI platforms.
• Familiarity with vector databases, knowledge graphs, and advanced RAG architectures.
• Experience with Microsoft Fabric.
• Experience with Snowflake and/or dbt.
• Experience with financial reporting systems and ERP platforms such as SAP, Oracle Financials, or Workday Financials.
• Experience with Master Data Management (MDM), Data Governance, Data Quality, or Data Observability initiatives.
• Experience with event-driven architectures using Kafka or Azure Event Hub.
• Experience with Terraform, Kubernetes, Docker, and modern DevOps practices.
• Previous experience supporting Finance, Enterprise Reporting, or Corporate Analytics organizations.