Azure Payments Platform Architect - AI-Driven Modernization

Coforge; Berkeley Heights (NJ); On-site; USD 180,000 - 260,000; Full time

Job summary

Coforge is seeking a hands-on Azure Technical Architect to design and build next-generation Payments and Transaction Processing platforms, leveraging Azure, .NET, microservices, and AI/GenAI Architecture in Financial Services.

You will lead architecture, reviews, modernization, and AI-driven innovation, mentor engineers, and collaborate with teams to implement scalable, cloud-native solutions with Azure OpenAI and RAG frameworks.

Qualifications

• 15+ years of software engineering and solution architecture.
• Strong hands-on Azure cloud-native development.
• Experience delivering GenAI/AI solutions in FinTech/Payments.

Responsibilities

• Design and implement cloud-native payment platforms on Microsoft Azure.
• Architect scalable microservices, APIs, event-driven systems.
• Participate in solution design, architecture reviews, code reviews, and technical problem-solving.
• Drive application modernization, integration strategy, scalability, performance, and resiliency.
• Build and validate technical POCs for cloud and AI-enabled solutions.
• Collaborate closely with engineering teams to ensure successful implementation of architectural decisions.
• Mentor developers and technical leads through hands-on technical guidance.
• Design and integrate AI-powered capabilities using Azure OpenAI, LLMs, RAG frameworks, and Agentic AI technologies.

Skills

C#

.NET Core

ASP.NET Core

REST APIs

DDD

GenAI

RAG

AI Agents

Azure

Distributed Systems

High Availability

Performance Engineering

Tools

Azure OpenAI

Job description

Coforge is seeking a hands-on Azure Technical Architect to design and build next-generation Payments and Transaction Processing platforms, leveraging Azure, .NET, microservices, and AI/GenAI Architecture in Financial Services.

You will lead architecture, reviews, modernization, and AI-driven innovation, mentor engineers, and collaborate with teams to implement scalable, cloud-native solutions with Azure OpenAI and RAG frameworks.