AI Platform Engineer

Insight Global; Delray Beach (FL); On-site; USD 150,000 - 200,000; Full time

Job summary

Insight Global is seeking an experienced Architect of AI Intelligence & Platform Engineering to lead the development of a foundational AI platform. This role entails driving context engineering and AI safety while managing a team. Ideal candidates should possess extensive experience in software engineering, data engineering, and applied AI/ML, alongside strong leadership capabilities. The position offers a competitive salary range of $150,000 to $200,000 annually and presents a unique opportunity to impact AI operations within the organization.

Qualifications

• 4–6+ years of experience in software engineering, data engineering, or applied AI/ML.
• 2+ years in technical leadership or people management roles.
• Proven experience with context engineering, RAG architectures, and knowledge retrieval systems.
• Strong background in semantic layers, ontologies, and knowledge graphs.

Responsibilities

• Architect and own the enterprise AI intelligence stack end-to-end.
• Design and scale the context engine, semantic layer, and knowledge graph.
• Establish standards for prompt engineering, evaluation, and versioning.
• Lead AI governance, safety, compliance, and protection frameworks.
• Build and manage a high-performing team of 4–6 senior engineers.

Skills

Software engineering

Data engineering

Applied AI/ML

Context engineering

Technical leadership

Knowledge retrieval systems

Semantic layers

Ontologies

Knowledge graphs

Job description

Overview

Insight Global is seeking an Architect of AI Intelligence & Platform Engineering for a top enterprise client investing heavily in building a world-class AI platform. This leader will operate as the architect and owner of the organization’s foundational intelligence layer—driving context engineering, semantic modeling, governance, and AI safety at scale. Reporting directly to the CIO, this role offers a rare opportunity to build a greenfield enterprise AI platform that moves beyond experimentation into real-world, mission-critical production. The ideal candidate is deeply technical, highly entrepreneurial, and energized by building systems—and teams—that will define how AI operates across the business for years to come.

Required Skills & Experience

• 4–6+ years of experience in software engineering, data engineering, or applied AI/ML
• 2+ years in technical leadership or people management roles
• Proven experience with context engineering, RAG architectures, and knowledge retrieval systems
• Strong background in semantic layers, ontologies, and knowledge graphs

Day to Day

• Architect and own the enterprise AI intelligence stack end-to-end
• Design and scale the context engine, semantic layer, and knowledge graph
• Establish standards for prompt engineering, evaluation, and versioning
• Lead AI governance, safety, compliance, and protection frameworks
• Build and manage a high-performing team of 4–6 senior engineers

Compensation

$150,000 to $200,000 per year annual salary.

Exact compensation may vary based on several factors, including skills, experience, and education