Enable enterprise-wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities
Contribute to the definition and execution of the enterprise strategy
Drive architecture decisions related to Dataverse, system integrations, security models
Partner with Enterprise Architecture to define reusable patterns and shared components
Establish platform standards, governance models, and ALM practices
Design, build, test, deploy, and manage Copilot Studio agents
Implement actions, orchestration, and workflows using Power Automate
Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and enterprise systems
Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems
Define governance and architectural approaches for future deployment of workflow-based and autonomous agents using Azure AI Foundry

5–8+ years of experience delivering business applications and automation solutions
3–5+ years with the Microsoft Power Platform
2+ years of hands-on experience building agents in Microsoft Copilot Studio
Strong programming skills in Python, C#, or JavaScript
Experience with Azure cloud services and AI workloads
Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations
Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem
Proven ability to lead technical design
Strong stakeholder communication skills with both technical and non-technical audiences
Experience in financial services or other highly regulated environments
Bachelor's degree in Computer Science, Software Engineering, or a related field

AI & Automation Engineer – Productivity Intelligence, Financial Services

Key skills