Jobs at NTT DATA

The Principal Marketing Specialist will develop and execute ABM strategies, create marketing campaigns, perform account research, align with sales, and analyze campaign performance.

Oversee all Australian tax compliance and reporting, manage tax returns, advise on tax legislation, and mentor junior staff.

The Principal DevOps Engineer leads software technology initiatives, designs systems, oversees testing, and ensures client requirements are met through advanced algorithms and coding. Responsibilities include documentation, implementation, and project reviews.

The role involves leading ServiceNow implementations, architecture design, documentation, workshops, and ensuring integration functionalities across multiple environments, focusing on HRSD and SPM.

The Global Client Manager drives new business acquisition and manages relationships, focusing on sales of IP transit services to ISPs globally, ensuring client satisfaction and revenue growth.

Provide sales team administration across quote-to-cash activities: generate quotes and purchase orders, validate pricing and terms, maintain vendor relationships and pricing, capture data, produce reports, file and manage sales documentation, and recommend process improvements.

Design, build, and deploy scalable Generative AI and LLM production applications on GCP. Implement RAG architectures with vector databases, develop high-throughput APIs and microservices, collaborate with cross-functional teams, and apply prompt engineering, model optimization, and performance evaluation to ensure reliable AI solutions.

Lead design and delivery of enterprise-scale generative AI and multi-agent systems. Define reference architectures, RAG and vector knowledge layers, integration fabrics, observability, governance, and Responsible AI frameworks. Assess readiness, build roadmaps, coordinate cross-functional teams, and mentor engineering talent.

Lead design, build, and deploy production-grade Generative AI solutions. Architect and optimise RAG pipelines and vector DBs, integrate AI via secure APIs/microservices, manage prompt lifecycle, implement MLOps/versioning/monitoring, and mentor engineering teams.

Lead presales enterprise architecture for Data/AI and Applications, designing integrated multi-tower solutions (data platforms, GenAI, MLOps, application modernization, cloud, integration, AIOps). Drive account planning, C-suite workshops, bid leadership, value cases, demos, portfolios, and in-contract innovation while coaching teams and ensuring delivery and commercial alignment.