Lead AI Engineer

Miami, FL, US • Posted 1 hour ago • Updated 1 hour ago
Contract Independent
On-site
Compensation information provided in the description
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Job Details

Skills

  • Technical Direction
  • Enterprise Resource Planning
  • Graph Databases
  • IT Management
  • LangChain
  • LlamaIndex
  • Microsoft Azure
  • API
  • OAuth
  • Interfaces
  • Snow Flake Schema
  • Appian
  • Customer Relationship Management (CRM)
  • Microsoft Certified Professional
  • Orchestration
  • Workflow
  • Use Cases
  • Artificial Intelligence
  • Privacy
  • Marketing

Summary

Location: Miami, FL
Salary: $85.00 USD Hourly - $95.00 USD Hourly
Description:
About the Role

We are seeking a Lead AI Engineer to define and drive the architecture of an enterprise-grade agentic AI platform. You will own the technical direction across RAG pipelines, MCP/tool-layer integrations, agent orchestration, and hybrid workflow execution. This role requires deep architectural expertise, hands-on engineering capability, and the ability to translate complex requirements into scalable, secure, production-ready AI systems.

Responsibilities
  • Lead end-to-end architecture for an enterprise agentic AI platform.
  • Design scalable solutions across RAG, MCP connectors, agent orchestration, and workflow integration.
  • Define patterns for stateless AI, governed tool invocation, reusable connectors, and secure data access.
  • Architect retrieval pipelines using Pinecone, Azure OpenAI, LangChain, or LlamaIndex.
  • Lead integration strategy for systems such as Appian, ERP platforms, DealCloud, Backstop CRM, Snowflake, and Graph DB.
  • Establish hybrid orchestration patterns where AI augments deterministic workflows.
  • Provide technical leadership to distributed engineering teams and ensure delivery quality.

Minimum Qualifications
  • 8-10+ years in software, platform, or AI engineering.
  • 1-2+ years designing enterprise AI or agentic systems.
  • Strong hands-on experience with RAG pipelines and vector retrieval.
  • Expertise with LangChain/LlamaIndex, Pinecone, Azure OpenAI.
  • Strong background in API-based integration, OAuth, and secure service-to-service patterns.
  • Experience designing MCP/tool-layer interfaces for LLM systems.
  • Experience guiding distributed engineering teams.

Preferred Qualifications
  • Experience with FastMCP or similar frameworks.
  • Experience with stateless AI architectures and governed action layers.
  • Familiarity with Graph DBs, Snowflake, Appian, DealCloud, or Backstop CRM.
  • Experience with hybrid orchestration across AI, workflow, and transactional systems.
  • Exposure to enterprise observability, auditability, and AI governance.

What Success Looks Like
  • Clear, scalable architecture across RAG, MCP, and agent orchestration.
  • High-quality retrieval, integration, and workflow patterns supporting production use cases.
  • Engineering teams aligned and unblocked.
  • A platform built as a long-term enterprise AI foundation.


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Contact:

This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: cxjudgpa
  • Position Id: 1126244
  • Posted 1 hour ago

Company Info

About Judge Group, Inc.

The Judge Group, is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better.

Our services are successfully delivered through a network of more than 30 offices across the United States, Canada, and India. The Judge Group is proud to partner with the best and brightest companies in business today, including over 60 of the Fortune 100. We serve organizations in financial services, healthcare, life sciences, insurance, government (including aerospace and defense), manufacturing, and technology and telecommunications.

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