Lead AI Engineer
Insight Global
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.
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