🛠 Tech Stack

💼 About This Role

You'll define enterprise AI architecture strategy and technical standards for GenAI and agentic systems, architecting platforms using Azure OpenAI and Microsoft AI Foundry. Your work will enable secure, compliant, production-ready AI at enterprise scale.

🎯 What You'll Do

• Define enterprise AI architecture strategy and technical standards for GenAI and agentic systems
• Architect AI platforms using Azure OpenAI, Azure AI Studio, Microsoft AI Foundry, M365 Copilot
• Design frameworks for multi-agent orchestration and human-in-the-loop workflows
• Develop and govern RAG architectures and AI-ready data ecosystems with vector databases

📋 Requirements

• 7+ years in enterprise architecture, solution architecture, or AI/ML engineering
• 3+ years hands-on experience with Azure OpenAI, Azure AI Studio, or Microsoft AI Foundry
• Experience designing cloud-native AI architectures on Azure, AWS, or GCP
• Strong understanding of Responsible AI principles, data governance, cybersecurity, and compliance

✨ Nice to Have

• Experience with RAG pipelines, embeddings, and vector database technologies
• Familiarity with multi-model ecosystems (e.g., OpenAI, Anthropic)
• Exposure to regulated industries such as financial services or healthcare

🎁 Benefits & Perks

• 💵 Competitive hourly compensation aligned with experience
• 🌐 Flexible remote work arrangement
• 🚀 Lead enterprise-wide GenAI transformation initiatives
• 📈 Professional growth in advanced AI and enterprise architecture
• 🏢 Collaborative environment with global expertise

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min