Senior Data/AI Technical Architect
Job in
Gqeberha, Port Elizabeth, 6000, South Africa
Listing for:
NTT
Full Time
position
Listed on 2026-07-27
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), Data Engineering
Job Description & How to Apply Below
Location: GqeberhaJOB DESCRIPTION Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
We are seeking a highly experienced 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 Middle East & Africa. This role serves as the senior technical leader for AI and Data architecture engagements, providing strategic guidance, pre-sales leadership, solution architecture, and technical governance across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).
The successful candidate will act as a trusted advisor to clients and internal stakeholders, translating business objectives into enterprise-grade AI, analytics, data platform, and cloud-native architectures. The role combines deep technical expertise with strong commercial acumen to support solution development, business growth, cloud transformation programs, AI adoption initiatives, and large-scale data modernization engagements.
Key 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 presentationsDevelop end-to-end AI and Data platform architectures leveraging Azure, AWS, and Google Cloud servicesDesign 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, lake houses, data warehouses, streaming platforms, and real-time analytics solutions.Design and govern enterprise AI solutions including Machine Learning Operations (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, Dev Ops, Data Ops, 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, Fin Ops, 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.
Required Qualifications &
Experience:
Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.10+ years of experience in enterprise architecture, cloud architecture, data platforms, analytics, or digital transformation.Minimum 5 years of experience 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.Strong knowledge of cloud services including:
Azure:
Azure AI Services, Azure OpenAI, Fabric, Synapse, Databricks, Data Factory,…
Position Requirements
10+ Years
work experience
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