Senior AI Platform Engineer (Cloud) – KE at Absa Bank Limited

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• Postgraduate degree in a quantitative discipline such as Computer Science, Data Science, Mathematics, Statistics, Engineering, or equivalent ((Masters-essential or PhD-advantageous). • Certification in: • Cloud – AWS Solutions Architect Professional, AWS Machine Learning Specialty, or Microsoft Azure AI Engineer Associate). • FinOps – FinOps Foundation Certified Practitioner (FOCP) or equivalent AI cost governance credential. • Security Certification – Certified Cloud Security Professional (CCSP) or AWS Security Specialty. • IaC Certification – HashiCorp Terraform Associate or equivalent infrastructure-as-code credential. • 5-8 years of progressive leadership experience in Cloud AI Platform Engineering, with production experience managing multi-cloud AI platform stacks across at least two of: AWS Bedrock/SageMaker, Databricks AI, Microsoft Azure AI Foundry, or Hugging Face enterprise deployments. • 2–3-year experience in the following: • AI FinOps and Cost Governance: Demonstrated ownership of AI compute cost models and FinOps reporting in a multi-BU or multi-cloud environment, with evidence of cost optimisation outcomes. • AI Security Architecture: Designing and implementing zero-trust AI security (OAuth/OIDC, JWT), prompt injection controls, data residency compliance in a regulated environment. • Agentic AI Infrastructure: Production design of agent orchestration infrastructure (such as LangGraph, AutoGen, Foundry Agent Service, Bedrock Agents), tool-calling APIs, and agent state management. • Platform Observability: Operating AI-specific observability tooling for inference latency, drift alerting, and capacity management (such as Prometheus, Grafana, Datadog, or Lakehouse Monitoring). • Infrastructure-as-Code: Terraform, Pulumi, or equivalent for multi-cloud, multi-region AI infrastructure deployments; CI/CD pipeline design for platform components. • Regulated Industry: AI platform engineering in financial services or a similarly regulated sector with model risk governance and change management obligations. • Regulated Industry: AI platform engineering in financial services or a similarly regulated sector with model risk governance and change management obligations