Azure Technical Architect – Payments Platform Modernization & AI Architecture

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

Job Title: Azure Technical Architect - Payments Platform Modernization & AI Architecture

Experience: 15+ years

About the Role

Coforge is seeking a hands-on Azure Technical Architect to design and build next-generation Payments and Transaction Processing platforms. The ideal candidate will bring deep expertise in Azure, .NET, Microservices, Distributed Systems, and AI/GenAI Architecture, with proven experience delivering scalable, cloud-native solutions within Financial Services, FinTech, or Payments organizations.

This is a highly technical role requiring active involvement in architecture, solution design, engineering reviews, cloud modernization, and AI-driven innovation.

Key Responsibilities

• Design and implement cloud-native payment platforms on Microsoft Azure.
• Architect scalable microservices, APIs, event-driven systems, and distributed applications.
• 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.

Required Skills

• Distributed Systems Design
• High Availability & Performance Engineering

Development

• C#
• .NET Core / ASP.NET Core
• REST APIs
• Domain-Driven Design (DDD)
• Generative AI (GenAI)
• Retrieval-Augmented Generation (RAG)
• AI Agents / Agentic AI
• AI Governance & Security

Required Experience

• 15+ years of software engineering and solution architecture experience.
• Strong hands-on experience with Azure cloud-native application development.
• Experience implementing enterprise AI/GenAI solutions using Azure OpenAI and modern AI frameworks.
• Ability to work directly with engineering teams and drive architecture through execution.

Preferred Domain Experience

• Payments & Transaction Processing
• Payment Gateways

Ideal Candidate

A hands-on Architect who can seamlessly combine Payments Modernization, Azure Cloud Architecture, and AI/GenAI Innovation while remaining actively involved in solution design, engineering decisions, and platform implementation.