Enterprise Cloud and AI Engineer

Genpact

2d•Hybrid

About The Position

Genpact is seeking an Enterprise Cloud & AI Software Engineer to build and scale enterprise-grade cloud solutions across the Microsoft ecosystem for Genpact Experience. This is a full-stack engineering role focused on Azure and the .NET/C# stack, extending into middleware, API, and integration layers. The role involves designing and building integrations across various enterprise systems and implementing AI capabilities using Microsoft's AI services. The ideal candidate is a builder comfortable with architecting resilient Azure backends, integrating enterprise systems, and shipping practical AI features.

Requirements

8+ years of professional software development experience, with deep expertise in .NET/C# and Microsoft Azure as a foundation.
Proven experience designing and building middleware, APIs, and integration layers connecting backend systems to modern front-end and mobile applications.
Hands-on experience integrating enterprise platforms such as CMS/DXP systems, Salesforce, SharePoint/M365, or Microsoft Graph.
Experience working with relational (SQL Server) and document/NoSQL databases (Cosmos DB or similar), and familiarity with Microsoft Fabric for data and analytics.
Practical experience building AI-powered features using Azure OpenAI, Azure AI Search, Azure Cognitive Search, Azure Machine Learning, or Microsoft Copilot Studio/Foundry.
Solid understanding of cloud architecture patterns: microservices, event-driven design, caching, messaging, and secure API design.
Experience with CI/CD and DevOps practices using Azure DevOps and/or GitHub Actions.
Comfort using AI-assisted development tools (GitHub Copilot, Claude, Codex) as part of the daily engineering workflow.
Strong communication skills, with the ability to work directly with clients and cross-functional teams and to mentor other developers.

Nice To Haves

Prior experience in consulting, agency, or multi-client delivery environments is a plus.
Microsoft certifications (Azure Solutions Architect Expert, Azure AI Engineer Associate, Power Platform, or similar).
Experience with Next.js/React front-end development or native mobile development (iOS, Android, React Native), enabling full-stack collaboration.
Familiarity with agentic AI patterns and multi-agent orchestration frameworks (Semantic Kernel, LangChain, or similar).
Experience with headless CMS/DXP platforms (Optimizely, Sitecore, Adobe) and how they fit into a broader enterprise integration strategy.
Background designing solutions across hybrid on-prem/cloud environments, particularly involving M365 and SharePoint migrations.
Track record of building internal accelerators, frameworks, or reusable components that scale across client engagements.
Experience in regulated industries (financial services, healthcare, legal) with attention to security and compliance requirements.

Responsibilities

Design, build, and operate cloud-based solutions on Microsoft Azure using .NET/C# as the primary foundation, applying sound architecture, design patterns, and engineering best practices.
Build and maintain the middleware, API, and integration layer connecting backend services to modern front-ends (Next.js, React) and native mobile applications.
Integrate enterprise backend systems including CMS/DXP platforms, Salesforce, SharePoint, Microsoft 365, and Microsoft Graph, ensuring secure, reliable data flow across the ecosystem.
Work with SQL and document databases (Cosmos DB and similar) and Microsoft Fabric to design data models and pipelines that support both application and analytics needs.
Design and implement AI-powered features and agentic experiences using Microsoft Copilot Studio, Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure Cognitive Search, and Azure Machine Learning.
Architect solutions for performance, security, and scale applying sound patterns for authentication/authorization, caching, messaging, and resilient service-to-service communication.
Own CI/CD pipelines and DevOps practices using Azure DevOps and GitHub Actions, driving automated build, test, and deployment across environments.
Use AI-driven development tools (GitHub Copilot, Claude, Codex) to accelerate delivery, prototype faster, and raise the bar on code quality across the team.
Partner with front-end and mobile engineers to define clean API contracts and shared data models that keep client and server in sync as products evolve.
Serve as a technical lead on client engagements, translating business requirements into pragmatic architecture and mentoring developers through code reviews and hands-on guidance.
Collaborate with architects across the Experience practice (DXP, Modern Workplace) to ensure backend and integration decisions align with the broader platform strategy.
Contribute to Genpact Experience’s engineering practice through reusable accelerators, internal tooling, and documentation that raise delivery quality across engagements.