Solution Architect - PO

proMX; Mumbai; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

proMX in Mumbai seeks an experienced Solutions Architect to own the technical architecture and implementation approaches for customer solutions, leveraging Dynamics 365, Power Platform, Dataverse and Azure.

You will translate business constraints into scalable, maintainable designs, define data flows and security, and guide integrations, documentation, and AI-enabled components throughout delivery.

Qualifications

• Experience designing architecture for customer solutions.
• Ability to translate constraints into scalable designs.
• Experience with security, privacy, and dataprotection.

Responsibilities

• Own technical architecture and implementation approaches for customer solutions.
• Advise customers on Dynamics 365, Power Platform, Dataverse, Azure, and related Microsoft technologies.
• Translate business and technical constraints into feasible, scalable, maintainable solution designs.
• Define system boundaries, data flows, integrations, security, performance, and operational requirements.
• Create architecture documentation, integration concepts, decision records, and implementation guidance.
• Design AI-enabled components, agents, automation, data access, and human-in-the-loop interactions.
• Evaluate feasibility, data prerequisites, complexity, security, privacy, operational risks, and mitigations.
• Support implementation, testing, quality assurance, deployment, handover, and architecture reviews.
• Define acceptance criteria and ensure maintainability, security, dataprotection, and responsible AI.

Skills

Solution Architecture

Enterprise Design

Microsoft Tech

Security & Privacy

AI-Enabled Design

Data Modeling

Integrations

Technical Leadership

Tools

Dynamics 365

Power Platform

Dataverse

Azure

APIs

Job description

• Own technical architecture and implementation approaches forcustomer solutions.
• Advise customers on Dynamics 365, Power Platform, Dataverse,Azure, and related Microsoft technologies.
• Translate business and technical constraints into feasible, scalable,maintainable solution designs.
• Define system boundaries, data flows, integrations, security,performance, and operational requirements.
• Create architecture documentation, integration concepts, decisionrecords, and implementation guidance.
• Design AI-enabled components, agents, automation, data access,and human-in-the-loop interactions.
• Evaluate feasibility, data prerequisites, complexity, security, privacy,operational risks, and mitigations.
• Support implementation, testing, quality assurance, deployment,handover, and architecture reviews.
• Define acceptance criteria and ensure maintainability, security, dataprotection, and responsible AI.