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AI Technology and Innovation Engineer

NTT Ltd.Johannesburg, Gauteng, South Africa

1 day ago

Job description

Job title : AI Technology and Innovation Engineer

Job Location : Gauteng, Johannesburg

Deadline : November 03, 2025

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The AI Innovation Engineer is responsible for defining and delivering AI technology solutions that meet enterprise capability requirements. This role focuses on evaluating, designing, and implementing AI solutions from established vendors, ensuring integration with existing enterprise architecture while providing expert guidance on AI technology adoption and innovation strategies.

Key Responsibilities

Defines AI solutions and technology implementations to deliver specific capability maturity levels for enterprise AI adoption.

Ensures that AI solutions are agile, scalable, and can be integrated into the overall enterprise architecture and technology landscape.

Provides expert multi-vendor AI technology advice to internal clients, analyzing and providing strategies and solutions on AI platforms, tools, and integration components.

Designs and communicates high-level AI solution architectures to enable and guide the implementation of integrated AI capabilities that meet current and future business needs.

Uses client business requirements to advise on the design, deployment, and operation of AI technology infrastructures and vendor solutions.

Creates AI solution designs that provide holistic views while containing detailed specifications of AI components and interconnections between systems.

Involved with AI projects at inception, working alongside project managers in planning and governance of AI initiatives and functional analysis of developing initial AI requirements.

Works with enterprise architects to define how proposed AI solution components fit into enterprise data architecture, defining clear AI technology roadmaps that improve existing solutions through new AI technologies and methodologies.

Supports and manages proof of concept (POC) and prototype initiatives to validate new AI solutions, vendor tools, and implementation methods.

Contributes to improvement of internal effectiveness by enhancing current AI evaluation methodologies, testing processes, and vendor assessment tools.

Supports internal teams and vendors with installation and configuration of AI applications and platforms.

Conducts comprehensive vendor AI technology assessments, benchmarking, and capability evaluations.

Develops and maintains AI testing frameworks and automated evaluation pipelines for continuous vendor solution assessment.

Establishes AI governance frameworks and best practices for enterprise AI adoption and risk management.

Performs any other related tasks as required.

Knowledge and Attributes

Seasoned ability to construct AI solutions using expertise across multiple vendor AI platform offerings and enterprise integration patterns.

Seasoned knowledge of multi-vendor AI technologies, platforms, and infrastructure design best practices across cloud, hybrid, and on-premises environments.

Seasoned multi-layered knowledge of AI solution architectures, vendor ecosystems, and enterprise AI reference architectures.

Seasoned knowledge of project management principles and agile methodologies for AI implementation projects.

Seasoned knowledge of AI vendor roadmaps, emerging AI developments, and new AI product offerings from major technology providers.

Deep understanding of AI testing methodologies, performance benchmarking, and capability assessment frameworks.

Expert knowledge of enterprise AI integration patterns, API management, and AI solution deployment strategies.

Comprehensive understanding of AI governance, ethics, compliance requirements, and responsible AI practices.

Analytical in their approach to AI technology evaluation and solution design.

Excellent interpersonal and communication skills to effectively interact with a variety of stakeholders including vendors, business leaders, and technical teams.

Ability to share and communicate AI technology concepts clearly, both orally and in writing, to senior management, business sponsors, and technical resources in clear, concise language.

Displays good business acumen with ability to translate AI technical capabilities into business value propositions.

Strong vendor relationship management and negotiation skills for AI technology partnerships.

Academic Qualifications and Certifications

Bachelor's degree or equivalent in Computer Science, Information Technology, Engineering, or related technical field.

TOGAF / COBIT or related enterprise architecture certification preferred.

Cloud platform certifications (Azure Solutions Architect, AWS Solutions Architect, or Google Cloud Architect) beneficial.

AI / ML certifications from major vendors (Microsoft AI Engineer, AWS Machine Learning, Google ML Engineer) preferred.

Required Experience

Seasoned experience gained in multiple industries and across several AI technology disciplines and vendor platforms.

Seasoned experience with AI solution development processes, vendor evaluation methodologies, and AI project implementation life cycles.

Seasoned experience working as a solution architect or senior engineer in enterprise technology environments, with specific focus on AI / ML or similar technologies.

Proven experience in vendor management, technology assessment, and enterprise AI solution delivery.

Demonstrated experience in leading complex AI technology evaluations and implementation projects.

Experience with enterprise AI governance, risk management, and compliance frameworks.

Track record of successful AI vendor partnership development and management.

Experience in mentoring junior engineers and contributing to technical team development.

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Ai Engineer • Johannesburg, Gauteng, South Africa