Gen AI Senior Engineer

The Senior Engineer (Generative AI) is responsible for designing, developing, and deploying scalable Generative AI (GenAI) solutions within an enterprise environment, with a focus area for AWS cloud enablement. This role requires strong hands-on expertise in LLM-based applications, GenAI architectures, and modern cloud-native engineering practices. The position partners closely with cross-functional teams to build production-ready AI systems that meet enterprise standards for scalability, security, and reliability.

Day to Day Job Duties

• Design, develop, and deploy scalable GenAI solutions.
• Focus on AWS cloud enablement.
• Collaborate with cross-functional teams to build production-ready AI systems.
• Ensure solutions meet enterprise standards for scalability, security, and reliability.

• Minimum 5 years of experience developing and implementing GenAI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, Prompt engineering techniques, and Agentic AI concepts and workflows.
• Minimum 5 years of experience building intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service.
• Minimum 5 years of experience evaluating solution performance, accuracy, and scalability of GenAI implementations.
• Minimum 5 years of experience contributing to the end-to-end GenAI lifecycle, including solution design and development, integration and deployment, and performance tuning and optimization.
• Minimum 5 years of experience supporting secure deployment, horizontal scaling, and operational stability of GenAI workloads.
• Minimum 5 years of experience assisting in implementing monitoring, logging, and observability practices for production environments.
• Minimum 5 years of experience developing and deploying GenAI systems across cloud platforms (Azure and AWS).
• Minimum 5 years of experience contributing to distributed system design for scalable AI workloads.
• Minimum 5 years of experience utilizing modern infrastructure practices: Containerization (Docker), Orchestration (Kubernetes), and Infrastructure as Code (Terraform, ARM/Bicep).
• Minimum 5 years of experience ensuring solutions meet enterprise expectations for availability, performance, and security.
• Minimum 5 years of experience developing scalable applications using Python and microservices-based architecture.
• Minimum 5 years of experience applying secure coding standards and proper data handling practices for enterprise, regulated environments.
• Minimum 5 years of experience contributing to CI/CD pipelines, automated testing, and deployment workflows.
• Minimum 5 years of experience participating in code reviews and adhering to engineering best practices.

Travel

This position requires someone to be in a client office 5 days a week in Charlotte, Atlanta, Minneapolis, Irving TX, Chicago, or Cincinnati.

Degree

Bachelors in Computer Science or equivalent work experience.

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.