Join NTT DATA as a Tech Consultant - AI DOTNET Engineer and drive innovation in enterprise solutions. This role focuses on building scalable applications with a strong emphasis on AI integration, secure coding, and modern architectural patterns. If you are a passionate developer seeking to grow with a forward-thinking organization, apply now.

NTT DATA is a global leader in business and technology services, committed to client success and societal impact through responsible innovation. As a top employer with a robust R&D investment, we offer unparalleled opportunities in AI and digital infrastructure.

Design and develop advanced enterprise applications leveraging C#, .NET Core, and ASP.NET Core. Build robust RESTful APIs and scalable microservices architectures. Develop modern web interfaces with Angular, TypeScript, HTML5, and CSS.

Integrate cutting-edge Generative AI and LLM capabilities into .NET applications and enterprise workflows. Build AI-enabled services using APIs/SDKs for enterprise LLM platforms, implementing patterns like RAG and prompt engineering. Ensure secure integration of AI services and enterprise data, and proactively address application security vulnerabilities.

Apply secure coding practices across authentication, authorization, data protection, and API security. Work with various databases including SQL Server, DB2, PostgreSQL, and Sybase. Perform thorough debugging, root-cause analysis, and provide production support. Embrace Agile engineering practices like TDD, BDD, and CI/CD, while collaborating effectively with global engineering, security, and business teams.

We seek an experienced AI .NET Engineer with over 10 years of comprehensive development experience. A deep, hands-on expertise in C#, .NET, ASP.NET Core, and .NET Core is essential. Strong knowledge of object-oriented design principles, design patterns, multithreading, and dependency injection is required.

Demonstrated experience designing and developing REST APIs and microservices, alongside at least 5 years of Angular development, including proficiency in TypeScript, HTML5, and CSS, is crucial. You must have practical experience developing or integrating Generative AI/LLM solutions and a solid understanding of RAG, prompt engineering, embeddings, and vector search concepts.

A strong grasp of secure coding principles and application security, with experience mitigating OWASP Top 10, SAST/DAST findings, and dependency risks, is vital. Experience with SQL Server, DB2, PostgreSQL, or Sybase, along with familiarity with CI/CD, TDD, BDD, and Agile engineering practices, is expected. Excellent troubleshooting, debugging, and root-cause analysis skills are paramount, complemented by strong communication and collaboration abilities across diverse teams.