Lead AI & Data Engineer: Build Enterprise AI Platform

Leeds Professional Resources; Miami (FL); On-site; USD 120,000 - 160,000; Full time

Job summary

Leeds Professional Resources is seeking a Lead AI/Data Engineer in Miami, Florida. This hands-on leadership role focuses on building scalable AI and data platforms, optimizing RAG pipelines, and architecting backend services in Python. Candidates should have 7+ years of experience in AI and data engineering, strong skills in Python and cloud environments, especially Azure. This role offers opportunities to shape impactful AI solutions and work collaboratively in a progressive environment.

Qualifications

• 7+ years of experience across AI engineering, data engineering, backend development, or applied machine learning.
• Strong hands-on Python development experience, including API design and scalable system architecture.
• Proven experience designing and deploying production AI or data platforms in cloud environments.
• Deep experience with Azure-based data and AI ecosystems.
• Experience building RAG systems, vector search workflows, or modern LLM applications.
• Strong understanding of data architecture, pipelines, and distributed systems.

Responsibilities

• Design and implement scalable AI and data platforms.
• Build and optimise RAG pipelines, including embedding strategies.
• Develop and maintain robust data ingestion and transformation pipelines.
• Architect backend services and APIs in Python.
• Collaborate closely with business and technology stakeholders.
• Lead technical direction, mentor engineers, and establish best practices.
• Ensure reliability, observability, and governance of AI systems.
• Drive the transition from proof-of-concept to enterprise production environments.

Skills

AI engineering

Data engineering

Python development

API design

Cloud environments

RAG systems

Tools

Azure OpenAI

Cosmos DB

Azure ML

Job description

Leeds Professional Resources is seeking a Lead AI/Data Engineer in Miami, Florida. This hands-on leadership role focuses on building scalable AI and data platforms, optimizing RAG pipelines, and architecting backend services in Python. Candidates should have 7+ years of experience in AI and data engineering, strong skills in Python and cloud environments, especially Azure. This role offers opportunities to shape impactful AI solutions and work collaboratively in a progressive environment.