Jobs at NTT DATA

Lead cloud security engineering and incident response across AWS and Azure environments. Manage CSPM, CWPP, SIEM, vulnerability management, cloud monitoring, threat detection, and security controls. Develop detection rules, dashboards, log integrations, threat-hunting processes, and automation using Python or PowerShell. Secure Kubernetes, Docker, CI/CD pipelines, and infrastructure-as-code deployments. Perform L3 troubleshooting, investigations, root cause analysis, governance support, documentation, and mentoring of junior analysts.

Advises clients on identifying, designing, implementing, and governing AI capabilities across Dynamics 365, Power Platform, SharePoint, and Microsoft 365. The consultant facilitates discovery workshops, translates business needs into AI-enabled solutions, configures Copilot and Copilot Studio, supports AI agents and automations, contributes to proofs of concept, and assists with customer engagement, demonstrations, governance, and pre-sales activities.

Consulting role to identify, design and implement AI-enabled solutions across Dynamics 365, Power Platform, SharePoint and Microsoft 365. Lead AI strategy, run discovery workshops, design Copilot and generative-AI integrations, support PoCs and advise on AI governance and adoption alongside project teams.

Lead presales and delivery of Microsoft Dynamics 365 ERP (Business Central/F&O) solutions. Drive solution architecture, demos, POCs, and scoping; oversee implementation, data migration, integrations, governance, and AI-enabled ERP initiatives. Mentor consultants, support sales, ensure delivery quality, and develop practice IP, methodology, and thought leadership.

Embed with enterprise clients to architect, prototype, and deploy agentic multi-agent AI systems and RAG workflows. Re-engineer business processes into human-in-the-loop and autonomous AI workers, integrate cloud, data pipelines, and frontier LLMs, and advise executives on rollout and risk-managed adoption.

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.

Design, build and optimise cloud data platforms and lakehouse solutions on Microsoft Azure and Microsoft Fabric. Develop scalable ETL/ELT pipelines, data models, and transformations using SQL, Spark and Python. Implement data governance, security, CI/CD and collaborate with stakeholders to enable analytics, reporting and AI use cases.

This role leads enterprise-scale AI and Data transformation programs, acting as a trusted advisor to senior executives, and shaping data strategies and governance frameworks.

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 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.

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 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.

Quota-carrying sales role building and maintaining strategic client relationships to sell Business Applications and Managed Services. Own full sales lifecycle, drive new business, expand accounts, manage pipeline and forecasts, collaborate with architects to craft proposals, and lead commercial negotiations to meet revenue targets.

Support ANZ demand generation by coordinating, executing, and optimizing integrated marketing campaigns. Manage lead conversion with Sales, track and report campaign performance, deliver sales enablement materials, maintain campaign documentation and calendars, and use CRM/marketing automation to drive pipeline and revenue outcomes.

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