Copilot Lead Architect Alameda
Overview
Design and lead the development of scalable AI solutions using Microsoft Copilot and Microsoft 365 Copilot. Own the architecture and delivery of generative AI products across teams. This role drives innovation in enterprise AI deployments. It differs by focusing on large-scale agent ecosystems and multi-agent orchestration.
What You'll Do9
- 1Build and ship high-performance generative AI applications leveraging Python and Azure
- 2Design and implement MCP Integration with Copilot Studio for enterprise deployment
- 3Lead teams in developing adaptive conversations using Entities & Slot Filling techniques
- 4Scale AI solutions using Power Platform and integrate with Veeva and Workday
- 5Establish governance frameworks for Observability and Security Controls in AI systems
- 6Drive adoption of Graph and OAuth standards for secure enterprise integrations
- 7Mentor junior engineers and foster collaboration across technical teams
- 8Analyze business requirements and translate them into technical specifications for AI products
- 9Ensure compliance with industry best practices for API design and data integration
Requirements10
- 15+ years experience building AI solutions with Microsoft Copilot
- 23-5 seasons leading technical teams in cloud-native architectures
- 312–15 Years total experience with enterprise AI platforms
- 42–3 years expertise in MCP Integration and Enterprise Deployment
- 52–3 years proficiency in Python for AI development
- 62–3 years experience with Microsoft Power Platform
- 75+ years implementing APIs and REST services for data integration
- 83+ years setting up and managing Copilot instances
- 93+ years configuring Custom Connectors for enterprise apps
- 102–3 years working with Veeva and Workday integrations
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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