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# AI Solutions Architect

- **Company:** Insight Global
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $166,400.0 - $187,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Software Design Patterns, Enterprise Software Applications, Multi-Cloud, Generative AI, GPT
- **Published:** July 3, 2026
- **Apply:** https://www.juju.com/job/00000000gcuapb

## About the Role

Senior-level experience as an AI / Solution Architect in enterprise environments

-Hands-on experience with Generative AI solutions

Strong experience with AWS (primary cloud)

-Experience with Azure, specifically Azure OpenAI / ChatGPT integrations

-Proven experience scaling AI solutions from POC to MVP and into production

-Strong focus on AI governance, compliance, and engineering standards

-Experience enforcing enterprise design patterns and technical guardrails

-Background supporting internal enterprise applications (not consumer-scale products)

-Vendor-agnostic mindset when designing and scaling AI solutions -Prior experience partnering closely with an AI Enterprise Architect

-Experience scaling multiple AI use cases already live in production

-Familiarity with enterprise risk, security, and compliance frameworks

-Experience working in highly regulated or large corporate environments

-Exposure to multi-cloud environments (excluding GCP-focused roles)

## Description

Insight Global is seeking a Sr AI Solution Architect for a large enterprise client focused on scaling Generative AI solutions across internal applications. This individual will work closely with the AI Enterprise Architect to move AI initiatives from proof of concept into scalable, production-ready solutions. The role is heavily focused on governance, compliance, and technical oversight-ensuring engineering teams adhere to established design patterns while remaining vendor agnostic. This is an ideal opportunity for an architect who has successfully scaled AI in corporate environments and enjoys enabling teams without owning consumer-scale products.

-Partner with the AI Enterprise Architect to scale AI solutions from POC to MVP

-Guide engineering teams on compliance, governance, and approved AI design patterns

-Ensure AI implementations align with enterprise architecture standards

-Advise on how to scale existing AI use cases already built and live

-Act as a senior technical authority on GenAI architecture decisions

-Drive consistency and governance across AI implementations without over-defining patterns

-Support enterprise teams building internal-facing AI applications.


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