Join NTT DATA as an AI/ML Architect specializing in Generative AI and LLM solutions. This role is crucial for defining enterprise-grade AI architectures, guiding implementation, and ensuring the scalability, security, and reliability of our AI platforms. You will collaborate with diverse teams to transform business strategies into robust AI systems and frameworks, driving innovation in a forward-thinking organization.

NTT DATA is a global leader in business and technology services, committed to accelerating client success and positively impacting society. We offer unparalleled capabilities in enterprise-scale AI, cloud, and digital infrastructure, empowering organizations to navigate the digital future with confidence and sustainability.

Architect end-to-end AI/ML solutions, including data pipelines and model lifecycle management. Establish best practices and reusable frameworks for ML and Generative AI. Provide architectural guidance on model selection, optimization, and scalability. Design and oversee LLM-based enterprise solutions such as chatbots, summarization systems, and semantic search. Define prompt engineering, RAG architectures, and orchestration strategies. Architect enterprise MLOps frameworks, CI/CD pipelines, and monitoring systems. Ensure AI systems adhere to governance, security, and compliance standards (GDPR, HIPAA). Lead technical teams and mentor AI/ML engineers and data scientists. Collaborate with stakeholders to align AI initiatives with business objectives.

We are seeking an AI/ML Architect with deep expertise in Generative AI, Large Language Models (LLMs), and scalable AI platform design. You should possess strong experience in machine learning, deep learning, and NLP architectures, with advanced proficiency in Python and ML frameworks like PyTorch and TensorFlow. Proven experience designing large-scale AI/ML systems and platforms is essential. Expertise in Azure AI/ML ecosystem, Databricks, and cloud-native architectures is required, alongside familiarity with containerization, Kubernetes, and distributed systems. A Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field is expected. Strong problem-solving, decision-making, and stakeholder management skills are vital.