Principal AI Technology, Innovation Specialist
NTT DATA, Inc.
full-time
Posted on:
Location Type: Hybrid
Location: Johannesburg • 🇿🇦 South Africa
Visit company websiteJob Level
Lead
Tech Stack
AWSCloud
About the role
- Lead the evaluation and strategic assessment of emerging AI technologies, platforms, and vendor solutions, advising on technical and ethical feasibility
- Design and guide the development of AI capabilities and innovation pilots, translating business goals into AI-enabled solutions
- Define architectural blueprints for integrating AI technologies into IT systems and product platforms, ensuring security, scalability, and alignment with enterprise standards
- Develop frameworks for responsible AI adoption including model evaluation, explainability, privacy, compliance (e.g., EU AI Act), and ethical use
- Partner with product and platform teams to align AI innovations with enterprise technology strategy and business outcomes
- Drive initiatives for AI prototyping, proof-of-concepts (PoCs), and production readiness assessments
- Monitor vendor roadmaps and contribute to the strategy for selecting and onboarding external AI capabilities
- Act as a center of excellence for AI within the IT organization, driving awareness, knowledge sharing, and standardization
- Collaborate with enterprise architects and platform leads to integrate AI tools into data infrastructure, software architecture, and cloud environments
- Perform technical due diligence on third-party AI services and models, ensuring fit-for-purpose and cost-effective solutions
- Continuously improve internal innovation processes and methodologies to increase the speed and quality of AI-driven transformation
Requirements
- Bachelor’s degree or equivalent in Computer Science, Artificial Intelligence, Data Science, or a related field
- Advanced degrees (MSc/PhD) in AI/ML fields preferred
- TOGAF, COBIT, or related enterprise architecture certifications are beneficial
- Certifications in machine learning or cloud-based AI platforms (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI Engineer) are advantageous
- Extensive experience in leading enterprise AI innovation and architecture initiatives
- Proven track record of evaluating, piloting, and operationalizing AI solutions in enterprise environments
- Experience working across multiple industries and large-scale IT organizations
- Hands-on experience in AI/ML development, integration, and lifecycle management
- Familiarity with regulations governing AI use, such as the EU AI Act, and experience in operationalizing compliance measures
Benefits
- Health insurance
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI technologiesAI capabilities developmentarchitectural blueprintsmodel evaluationexplainabilityprivacy complianceAI prototypingproof-of-conceptsAI integrationAI lifecycle management
Soft skills
strategic assessmentcollaborationknowledge sharingleadershipinnovationcommunicationorganizational skillstechnical feasibility assessmentvendor managementprocess improvement
Certifications
Bachelor's degree in Computer ScienceMSc in AI/MLPhD in AI/MLTOGAFCOBITAWS Certified Machine Learning SpecialtyGoogle Cloud AI Engineermachine learning certificationsenterprise architecture certificationsAI compliance certifications