Lead AI & Data Cloud Architect

NTT America, Inc.; Gqeberha; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid working

Job summary

NTT DATA is seeking a Senior AI and Data Cloud Architect to partner with enterprise sales, consulting, and delivery teams in designing, positioning, and governing AI, data, and cloud solutions for clients across South Africa and the MEA region. This role serves as the senior technical leader for AI and data architecture engagements.

The successful candidate translates business objectives into enterprise-grade AI, analytics, data platforms, and cloud-native architectures, while guiding solution

Qualifications

• Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or related discipline.
• 10+ years of experience in enterprise architecture, cloud architecture, data platforms, analytics, or digital transformation.
• Minimum 5 years designing cloud-native solutions on Azure, AWS, and/or Google Cloud.
• Proven experience supporting pre-sales, solution consulting, business development, and complex sales pursuits.
• Deep expertise in enterprise data architectures, analytics platforms, AI/ML solutions, and cloud-native technologies.

Responsibilities

• Lead pre-sales solutioning activities for AI, Data, Analytics, and Cloud opportunities, including client workshops, discovery sessions, solution shaping, proposals, RFP/RFI responses, and executive presentations
• Develop end-to-end AI and Data platform architectures leveraging Azure, AWS, and Google Cloud services
• Design scalable, secure, resilient, and cost-optimized cloud-native solutions supporting AI, Generative AI, Machine Learning, Advanced Analytics, Data Engineering, and Data Governance use cases.
• Define target-state architectures covering data platforms, AI platforms, cloud infrastructure, networking, security, identity, observability, automation, governance, and operational excellence.
• Architect modern data platforms including data lakes, lakehouses, data warehouses, streaming platforms, and real-time analytics solutions.
• Design and govern enterprise AI solutions including MLOps, Generative AI architectures, Retrieval-Augmented Generation (RAG), vector databases, AI governance, and responsible AI frameworks.
• Provide architectural leadership for cloud migration, data modernization, application modernization, containerization, and platform transformation initiatives.
• Promote Infrastructure as Code (IaC), platform engineering, DevOps, DataOps, and MLOps best practices using Terraform and cloud-native automation capabilities.
• Collaborate with engineering, security, data, AI, and application teams to implement cloud-native architectures and automation strategies.
• Drive cloud security, compliance, governance, FinOps, and responsible AI best practices across client engagements.
• Perform architecture reviews and provide technical oversight throughout solution delivery
• Act as a trusted advisor to executive, business, and technical stakeholders, translating complex technical concepts into business value
• Mentor architects, consultants, and engineers while contributing to AI, Data, and Cloud capability development and thought leadership
• Stay current with emerging AI technologies, hyperscaler innovations, cloud-native platforms, and industry trends

Skills

Enterprise architecture

Cloud architecture

Data platforms

Analytics platforms

AI/ML solutions

Pre-sales support

Stakeholder management

Education

Bachelor's degree in Computer Science/IT/Engineering/Data Science

Tools

Terraform

Kubernetes

Databricks

Snowflake

Confluent Kafka

Datadog

Job description

NTT DATA is seeking a Senior AI and Data Cloud Architect to partner with enterprise sales, consulting, and delivery teams in designing, positioning, and governing AI, data, and cloud solutions for clients across South Africa and the MEA region. This role serves as the senior technical leader for AI and data architecture engagements.

The successful candidate translates business objectives into enterprise-grade AI, analytics, data platforms, and cloud-native architectures, while guiding solution