Automation & AI Solutions Engineer

1 week ago

Parktown North, Gauteng, South Africa Hollard Full time R1 200 000 - R2 400 000 per year
Job Advert Summary

Job Purpose

The Automation & AI Solutions Engineer will drive digital transformation across the insurance value chain by designing, automating, and optimising business processes using the Microsoft ecosystem (Azure, Fabric, Power Platform, M365). The role will further support the development of intelligent web portals, scoring models, and AI agents to enhance operational efficiency, customer experience, and decision-making. This role will also support strategic business initiatives.

Key Responsibilities

Process Automation & Optimisation

  • Analyse, map, and document end-to-end processes across the insurance value chain.
  • Design and implement workflow automation using Azure services, Power Automate, and related Microsoft tools. This includes the design of insurance data models to enable efficient processing & reporting.
  • Identify inefficiencies and propose technology-driven improvements.
  • Build scalable, secure, and auditable automated solutions aligned to governance standards.

Web Portal & Application Development

  • Design and develop user-friendly web portals to support internal teams, customers, or partners.
  • Integrate portals with backend systems, APIs, and data sources hosted in Azure.
  • Ensure strong UI/UX principles, accessibility, and responsiveness in portal design.

Scoring Model Development

  • Build, test, and deploy scoring models (risk scoring, underwriting, fraud, operational models, etc.).
  • Collaborate with data teams to extract and prepare datasets from cloud environments.
  • Ensure models are explainable, robust, and aligned with business rules.

AI & Agent Development

  • Design and build AI agents to automate interactions, assist workflows, and augment human decision-making.
  • Leverage Azure AI services (OpenAI, Cognitive Services, LLM orchestration, etc.).
  • Assist business teams in identifying practical AI use cases and implementing them.
  • Continuously monitor AI agent performance and refine based on feedback and data.

Collaboration & Stakeholder Engagement

  • Work with cross-functional teams (IT, business units, underwriting, operations) to understand needs and co-create solutions.
  • Present prototypes, workflow maps, and automation roadmaps.
  • Provide technical input into strategic automation and AI initiatives.

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