Overview

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

Responsibilities

• Design, develop, and deploy enterprise AI applications using AWS services and modern AI frameworks.
• Build Generative AI, Conversational AI, AI Assistant, and Agentic AI solutions.
• Translate business requirements into scalable, resilient, and secure AI applications.
• Develop reusable AI frameworks, APIs, integration services, and accelerators.
• Collaborate with architects and business stakeholders to deliver AI driven business outcomes.
• Build applications leveraging foundation models and Large Language Models (LLMs).
• Design and implement Retrieval Augmented Generation (RAG) architectures using enterprise knowledge sources.
• Develop AI agents and multi agent orchestration workflows.
• Implement prompt engineering, context management, memory patterns, and evaluation frameworks.
• Evaluate and integrate commercial and open source models based on performance, cost, scalability, and security requirements.
• Develop AI powered assistants capable of automating business processes and decisionmaking workflows.
• Design and develop AI solutions leveraging Amazon Bedrock, Amazon SageMaker, Amazon Q, OpenSearch, Lambda, ECS, EKS, and related AWS services.
• Develop cloud native AI applications utilizing serverless and container based architectures.
• Build scalable APIs and microservices supporting AI workloads.
• Integrate AI solutions with enterprise applications, business systems, and data platforms.
• Ensure high availability, security, reliability, observability, and operational excellence.
• Design AI powered workflow automation solutions integrating AWS AI capabilities with enterprise systems.
• Build intelligent process automation solutions leveraging AI services, APIs, and workflow orchestration tools.
• Integrate AI capabilities into business applications to improve operational efficiency and employee productivity.
• Develop reusable automation frameworks and enterprise integration patterns.
• Deploy and optimize open source foundation models including Llama, Mistral, and similar models.
• Fine tune foundation models for business specific use cases.
• Build and manage model serving and inference environments.
• Support model lifecycle management, governance, monitoring, testing, and version control.
• Optimize AI solutions for latency, throughput, scalability, and operational efficiency.
• Apply quantization, model compression, distillation, pruning, and inference optimization techniques.
• Optimize GPU utilization and infrastructure performance.
• Design cost efficient AI architectures balancing performance, business value, and cloud spend.
• Monitor AI applications and continuously improve model effectiveness and reliability.
• Implement CI/CD pipelines supporting AI application delivery.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.
• 8+ years of software engineering or application development experience.
• 3+ years of hands on experience developing AI, Machine Learning, or Generative AI solutions.
• Strong proficiency in Python and modern software engineering practices.
• Strong understanding of API development, microservices, distributed systems, and cloud architectures.
• Strong communication, stakeholder management, and problem solving skills.
• AI Application Development
• Generative AI Engineering
• AWS Cloud Development
• Problem Solving & Innovation
• Agile Development Practices
• Cross Functional Collaboration
• Technical Leadership
• Client & Stakeholder Management
• AI Platform Engineering
• Delivery Excellence

Nice to have

• Master's degree in Artificial Intelligence, Computer Science, Data Science, or related discipline.
• AWS Certified and Experience with Amazon Bedrock and Amazon Q.