MS Dynamics CRM Solutions Architect

Talenzaa; Malvern (Chester County); Hybrid; USD 162,000 - 198,000; Full time

Job summary

Talenzaa in Malvern, PA is seeking an experienced MS Dynamics CRM Solutions Architect to lead end-to-end Dynamics 365 and Power Platform implementations, with a focus on scalable, secure architecture and integration with enterprise systems.

The role addresses AI agent integration, data migration, governance, and collaboration with business stakeholders. Hybrid work model; USC/GC eligibility preferred.

Qualifications

• Experience with Dynamics 365 Customer Service modules.
• Strong integration and API development skills.
• Experience with Azure services and enterprise-scale architecture.

Responsibilities

• Define end-to-end solution architecture for Microsoft Dynamics 365 and Power Platform implementations.
• Collaborate with business stakeholders to translate requirements into scalable, secure, and maintainable solutions.
• Provide technical leadership to development teams and review solution designs, customizations, integrations, and code.
• Design and oversee integrations with enterprise systems using Azure services, APIs, and middleware platforms.
• Establish architecture standards, governance processes, and best practices for CRM delivery.
• Lead data migration, security, performance optimization, and application lifecycle management activities.
• Identify technical risks, recommend mitigation strategies, and support successful project delivery.
• Mentor technical teams and promote innovation through Power Platform, AI, and Microsoft Copilot capabilities.

Skills

Dataverse

Power Platform

Plugins & Workflows

REST APIs

ALM

Tools

Power Platform

Azure Functions

Logic Apps

Job description

Job Title: MS Dynamics CRM Solutions Architect

Location: Malvern, PA (Hybrid)

Work Authorization: USC, GC and GC-EAD

Max Salary: $180k + Benefits

Job Description

Must Have Technical/Functional Skills

Technical Skills

Strong experience with:

• Dataverse


• Power Platform (Power Apps, Power Automate, Power BI)


• Plugins, Custom Workflows, Custom APIs


• REST APIs and Web Services


• Solution Management and ALM

Functional Knowledge

Deep understanding of Dynamics 365 modules such as:

• Customer Service

Agentic AI Technical Skills

• Agent Development


• Agentic AI Architecture


• Agent Lifecycle Management & Monitoring


• CRM + AI


• Dynamics 365 Customer Service Copilot


• Prompt Engineering

Knowledge Grounding

• RAG (Retrieval-Augmented Generation)


• Vector & Semantic Search


• Enterprise Knowledge Management

Integration & Automation

• Azure Functions


• Logic Apps

• Define end-to-end solution architecture for Microsoft Dynamics 365 and Power Platform implementations.


• Collaborate with business stakeholders to translate requirements into scalable, secure, and maintainable solutions.


• Provide technical leadership to development teams and review solution designs, customizations, integrations, and code.


• Design and oversee integrations with enterprise systems using Azure services, APIs, and middleware platforms.


• Establish architecture standards, governance processes, and best practices for CRM delivery.


• Lead data migration, security, performance optimization, and application lifecycle management activities.


• Identify technical risks, recommend mitigation strategies, and support successful project delivery.


• Mentor technical teams and promote innovation through Power Platform, AI, and Microsoft Copilot capabilities.

Agentic AI Responsibilities

• Define and execute the AI strategy for Dynamics 365 and Power Platform solutions.


• Architect and implement AI agents using Copilot Studio, Dynamics 365 Copilot, and Azure OpenAI.


• Deliver AI-driven automation solutions targeting measurable improvements in productivity, customer experience, and operational efficiency.


• Lead AI innovation initiatives, PoCs, and enterprise-scale deployments.


• Establish governance, security, and Responsible AI standards for all AI solutions.


• Mentor teams on agentic AI architecture, prompting strategies, and AI best practices.


• Drive adoption of AI capabilities with measurable business outcomes, including reduced manual effort, faster case resolution, and improved user satisfaction.

Generic Managerial Skills, If any

• Leadership and team development


• Strategic thinking and decision-making


• Excellent communication and presentation skills


• Collaboration and cross-functional team leadership


• Innovation and continuous improvement mindset


• Strong ownership, governance, and accountability focus