Platform Architect for Enterprise AI Platform (Hybrid)

Insight Global

Atlanta (GA)

Hybrid

USD 150,000 - 190,000

Full time

14 days+

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Job summary

Insight Global is seeking a Platform Architect to define the core AI platform (the “Factory”) that all customer solutions are built on. This role requires deciding what is reusable vs.

bespoke before engineering starts and owning that boundary under real delivery pressure. You’ll define multi-tenant, cloud-native architecture for enterprise AI/agentic systems, set standards for APIs, data models, governance, and scaling, and partner with delivery teams and sales to ensure scalable, secure

Qualifications

  • 10+ years in software architecture and platform engineering.
  • Built a reusable platform, internal developer platform, or accelerator library with adoption.
  • Multi-tenant SaaS architecture—built from scratch or major migration.
  • Data architecture for AI including vector stores, embeddings, retrieval, and tenancy isolation.
  • Enterprise integration patterns including API management and event-driven architectures.
  • SRE mindset with ownership: SLOs, incident response, on-call responsibilities.
  • LLMOps: model versioning, evaluation pipelines and cost governance.
  • Usage metering and tenant cost attribution.
  • Canary deployments and model evaluation in production traffic.
  • Deep cloud-native expertise on Azure, AWS, or GCP.

Responsibilities

  • Defining core platform boundaries vs. custom builds to manage delivery pressure.
  • Designing reusable accelerators, agent frameworks, and integration patterns.
  • Architecting multi-tenant enterprise SaaS with governance and observability.
  • Setting engineering standards for agent systems, deployment, monitoring, and governance.
  • Governing component reuse and classifying builds as platform, template, or custom.
  • Owning platform reliability: SLAs, observability, incident response, accountability.

Skills

Platform architecture
Multi-tenant SaaS
SRE mindset
LLMOps
Data architecture for AI
Enterprise integration patterns
Canary deployments
Usage metering
Cloud platforms (Azure/AWS/GCP)
Programming: Python/TypeScript/Go/Rust

Tools

MuleSoft
Apigee

Job description

Insight Global is seeking a Platform Architect to define the core AI platform (the “Factory”) that all customer solutions are built on. This role requires deciding what is reusable vs.

bespoke before engineering starts and owning that boundary under real delivery pressure. You’ll define multi-tenant, cloud-native architecture for enterprise AI/agentic systems, set standards for APIs, data models, governance, and scaling, and partner with delivery teams and sales to ensure scalable, secure

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