Enterprise Cloud and AI Engineer

Rightpoint

Enterprise Cloud & AI Software Engineer responsible for cloud solutions development at Genpact. Working within the Microsoft ecosystem integrating APIs and AI capabilities across platforms.

Posted 7/21/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in designing and building cloud-based solutions on Microsoft Azure using .NET/C#, with a strong focus on middleware, API integration, and AI-powered features. Proven ability to lead technical projects, mentor developers, and ensure high-quality delivery through effective collaboration and communication.

Highest-signal resume keywords

Microsoft Azure.NET/C# DevelopmentMiddleware and API IntegrationCI/CD and DevOps PracticesAI-Powered Feature Development

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Hard Skills

.NET/C#Middleware DevelopmentAPI DesignSQL ServerCosmos DBMicrosoft FabricAzure OpenAIAzure Machine LearningAzure DevOpsGitHub Actions

Soft Skills

Strong CommunicationMentoring

Tools & Technologies

Microsoft 365SalesforceSharePointMicrosoft GraphGitHub CopilotClaudeCodex

Industry Keywords

Cloud ArchitectureMicroservicesEvent-Driven DesignSecure API DesignConsulting

Tech Stack

Tools & technologies

AzureCloudJavaScriptMicroservices.NETNext.jsNoSQLReactSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
Prior experience in consulting, agency, or multi-client delivery environments is a plus.

Benefits

Comp & perks

Flexible PTO – If you need a day off or an extended vacation, take the time!
Hybrid work environment: Casual and open office or Remote…You choose!
Great insurance coverage (Multiple Options) and flexible spending accounts
401K with Company Matching
Monthly Work from Home Stipend
Continuous Training, Certifications, and Learning Opportunities
Diversity, Equity, Inclusion and Belonging: We care about making Genpact a more diverse, equitable, and inclusive organization to bring about meaningful and measurable changes to representation, team member experience, and client engagement.