> Markdown version of [/jobs/ext/3569880-enterprise-ai-architect](https://www.wearedevelopers.com/jobs/ext/3569880-enterprise-ai-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Enterprise AI Architect

- **Company:** Insight Global
- **Location:** Newtown Square, PA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Data Infrastructure, DevOps, Distributed Systems, Python (Programming Language), Software Engineering, Systems Integration, Enterprise Search, Google Cloud, Enterprise Software Applications, GitHub Copilot, Retrieval-Augmented Generation, Large Language Models, IT Architecture, Agentic-AI, AI Platforms, Kubernetes, Information Technology, Azure OpenAI API, Machine Learning Operations
- **Published:** October 3, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3417392818&tx=VT7368THD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
 * 10+ years of experience in software engineering, cloud architecture, or enterprise technology, including architect or technical leadership roles.
 * 4+ years of experience designing and delivering AI-powered solutions, including LLM, RAG, and agentic AI architectures.
 * Deep expertise in cloud architecture and modern AI platforms, with a strong emphasis on Microsoft Azure.
 * Strong background in .NET/C# and Python, with the ability to guide architecture across complex distributed systems.
 * Strong understanding of AI architecture patterns, including vector databases, embeddings, orchestration frameworks, model integration, and enterprise AI solution design.
 * Experience establishing AI governance frameworks covering responsible AI, model risk management, security, privacy, and regulatory compliance.
 * Experience defining DevOps, MLOps/LLMOps, observability, and AI lifecycle management practices at enterprise scale.
 * Experience working within regulated industries such as healthcare, insurance, or financial services
 * Experience with Azure OpenAI Service, Azure AI Search, GitHub Copilot, and enterprise AI adoption initiatives.
 * Working knowledge of AWS and/or Google Cloud Platform (GCP).
 * Experience developing solutions involving HIPAA, PHI, or other sensitive data environments.
 * Master's degree in Computer Science, Engineering, Information Technology, or a related field.

## Description

* Drive the enterprise AI architecture strategy and roadmap across platforms, applications, and engineering teams.
 * Architect scalable, secure, and cost-efficient AI solutions leveraging Azure and modern AI technologies.
 * Evaluate and govern AI platforms, models, and vendor solutions to maximize business value and reduce risk.
 * Establish enterprise standards for responsible AI, security, privacy, compliance, and model governance.
 * Define best practices for AI engineering, lifecycle management, observability, and AI-assisted development.
 * Serve as a trusted advisor to business and technology leaders, providing architectural guidance and technical leadership across AI initiatives.


## Related Videos

- [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way)
- [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better)
- [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow)
- [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)