365 Power Platform AI Business Architect

Capgemini•New York, NY

10d•$106,230 - $145,000•Onsite

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Requirements

Microsoft Dynamics 365: Sales, Customer Service, Field Service, Finance & Operations
Power Platform: Power Apps, Power Automate, Power Virtual Agents, AI Builder, Power BI
Azure AI & OpenAI: Cognitive Services, Machine Learning, AI Models, Copilot Studio
Data & Integration: Dataverse, Azure Data Factory, Synapse Analytics, APIs
Security & Compliance: Microsoft Purview, Azure AD, Role-Based Access Control

Responsibilities

Define and drive AI adoption strategies using Power Platform and Dynamics 365.
Identify opportunities for AI to optimize business processes (e.g., customer service automation, sales forecasting).
Align AI initiatives with business goals, KPIs, and ROI expectations.
Leverage Power Apps, Power Automate, and Power Virtual Agents to automate workflows and enhance decision-making.
Use AI Builder and Copilot AI to integrate machine learning models into low-code/no-code applications.
Implement Power BI for AI-driven analytics and reporting.
Ensure AI solutions integrate effectively with Dataverse, Azure AI, Dynamics 365 Customer Insights, and external data sources.
Oversee data governance, security, and compliance using Microsoft Purview and Azure policies.
Define ethical AI frameworks and responsible AI practices within Power Platform solutions.
Identify key business processes for AI-driven automation using RPA (Robotic Process Automation) in Power Automate.
Implement intelligent document processing, chatbots, and predictive analytics in business operations.
Enhance customer engagement through AI-powered chatbots and virtual agents.
Collaborate with business leaders, IT teams, and end-users to drive AI adoption.
Conduct training and change management initiatives to ensure smooth AI integration.
Work closely with solution architects and developers to translate business requirements into AI-powered solutions.