AI Automation Engineer

1 week ago

Cape Town, Western Cape, South Africa Prescient Full time
Purpose of role:

We are looking for an AI Automation Engineer to embed with teams, observe their workflows, and redesign processes using AI-driven automation. This is a hands-on role where you'll prototype rapidly, test ideas, and evangelize automation across the organization. You'll leverage n8n, LLMs/AI tools, and AWS-native services to build intelligent, secure, and scalable workflows while teaching others to do the same.

Duties and responsibilities:
  • Team Embedding & Discovery:
    Sit alongside business teams for 2–4 weeks to understand pain points, map workflows, and identify automation opportunities.
  • Rapid Prototyping: Talent
    Quickly design and test automation solutions using n8n, AI APIs, Copilot Agents and AWS services. Iterate fast to validate ideas before scaling.
  • Workflow Orchestration (n8n):
    Build robust workflows with error handling, retries, and observability.
  • AI/LLM Integration:
    Use LLMs for summarization, extraction, translation, and classification. Optimize prompts and ensure compliance.
  • AWS Automation:
    Implement event-driven architectures using S3, Lambda, EventBridge
  • Teaching & Evangelism:
    Upskill teams on building automations themselves. Create documentation, run workshops, and champion AI adoption.
  • Security & Compliance:
    Apply privacy-by-design principles and ensure encryption, access control, and auditability.
  • Cost & Performance Optimization:
    Monitor and optimize AWS and AI usage for efficiency.
  • Documentation & Enablement:
    Produce clear guides, diagrams, and reusable templates.
Advantages: 
  • Experience with DeepL or similar for layout-preserving document translation.
  • IaC (CloudFormation/CDK/Terraform) and EventBridge patterns.
  • Observability stacks (CloudWatch, Zambia).
  • Knowledge of financial services governance, operational resilience, and audit requirements.
  • Experience with vector databases (e.g., OpenSearch).
  • Cost optimization techniques for AI usage and AWS services.
Example Projects You'll Tackle
  • Event-driven ingestion from SFTP/S3 to validated, enriched data pipelines with notifications and failure handling.
  • Translating regulatory documents into multiple languages while preserving layout and routing outputs to stakeholders.
  • Automating alerts and remediation for infrastructure events.
  • Building an AI-assisted triage for inbound requests (classification, routing, summarization) integrated with Teams and ticketing systems.
  • Implementing CI/CD for n8n workflows with environment promotion and governance controls.
Why this role:
  • Impactful role shaping our automation strategy.
  • Modern tooling and cloud environment.
  • Professional development budget (AI/LLM, AWS certs).
  • Hybrid work setup and flexible hours.

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