Artificial Intelligence Architecture & Engineering Technical Lead
Standard Bank Group · Roodepoort, Gauteng
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- To work with business stakeholders to identify and deliver on new AI initiatives. To apply deep domain expertise to shape/influence the AI-thinking in the organisation through thought leadership; enabling the successful adoption and acceleration of AI and ML across Standard Bank Group SBG, ensuring the needs of stakeholders are correctly understood and addressed.
Qualifications
- Type of Qualification: Post Graduate Degree
- Field of Study: Information Technology
Experience Required
- Software Engineering
- Technology
- 5-7 years
- Experience in the AI and ML area.
AI Portfolio Delivery & Architecture
- Own end-to-end technical delivery of all priority AI initiatives -Project Aqua Call AI, SALT Fraud Detection, Email Triage Agent and Hyper-personalisation -ensuring quality, velocity and governance standards are met.
- Define and own the SBIB AI reference architecture across AWS Bedrock, Lambda, S3, Azure OpenAI, AI Foundry, Document Intelligence, AI Search and Power Platform.
- Drive productionfrom PoC through to monitored, governed production with CI/CD pipelines, model cards, drift monitoring and release management.
- Ensure all solutions meet AITC, MAC and Responsible AI requirements and maintain a live solution architecture register.
Platform, Cloud & Data
- Establish and maintain a shared AI sandbox environment, define the AWS-to-Power Platform interoperability pattern, and manage ADLS, vector stores and embedding pipelines.
- Architect the managed data tier to replace SharePoint as the AI storage layer, enabling retrieval-augmented generation, pipeline monitoring and self-service data consumption.
Process Analyst Capability Uplift -AI Engineering Transition
- Design and execute the structured AI upskilling programme for the three process analysts transitioning into AI engineering roles, covering AI fundamentals, prompt engineering, Power Platform AI Builder, cloud-native patterns and live delivery pairing.
- Define individual learning pathways, assess competency progress and produce a team competency roadmap with milestone gates tied to the 18–24 month delivery plan.
Governance, Standards & Coaching
- Establish AI engineering standards: coding standards, testing protocols, model evaluation frameworks and deployment checklists across the function.
- Coach junior AI engineers and transitioning process analysts; contribute to the SBIB AI CoP and Group-wide reuse initiatives.
Behavioural Competencies
- Adopting Practical Approaches
- Articulating Information
- Checking Things
- Developing Expertise
- Documenting Facts
- Embracing Change
- Examining Information
- Interpreting Data
- Managing Tasks
- Producing Output
- Taking Action
- Team Working
Technical Competencies
- Data Analysis
- Emerging Technology Monitoring
- IT Design Driven Development
- Knowledge of Banking & Financial Service
- Systems Design
- Trouble Shooting
- Use of Libraries and Frameworks