Automation & AI Solutions Engineer at Hollard Insurance

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.

Required Knowledge and Experience    
Required Experience 

• Advantageous to have 3 - 5 years’ experience in a similar role, preferably with a track record of evidence based improvement in non-life insurance operations
• Proven experience with Microsoft Azure\AWS or the wider Microsoft ecosystem. 
• Experience in process mapping and workflow design.
• Hands-on experience in automation, scripting, or low-code technologies.
• Understanding of AI/ML concepts and experience working with LLMs or AI platforms.
• Experience in web application or portal development (any modern framework).
• Strong analytical, problem-solving, and documentation skills.

Required Knowledge and Skills

• Microsoft Ecosystem Expertise
• Microsoft Azure (including AI services like OpenAI, Cognitive Services)
• Power Platform (Power Automate, Power Apps)
• Microsoft 365 integration
• Process Automation
• Workflow automation design and implementation
• Process mapping and optimisation
• Web Development
• Web portal/application development using modern frameworks
• API integration and backend connectivity
• UI/UX principles and responsive design
• AI & Machine Learning
• Understanding of AI/ML concepts
• Experience with LLM orchestration and AI agent development
• Scoring model development (risk, underwriting, fraud)
• Programming & Data
• Understanding of AI/ML concepts
• Scripting or low-code development
• Python or R for model development
• SQL and data engineering concepts (ETL, APIs)
• Security & Governance - Building scalable, secure, auditable solutions
• Cloud Integration

Preferred / Advantageous

• Azure OpenAI and Cognitive Services experience
• Insurance domain knowledge (underwriting, claims, reinsurance)
• Scoring model development in Python, R, or ML Studio
• UI/UX experience for user-facing applications

Soft Skills & Competencies

• Innovative and curious mindset
• Strong analytical and problem-solving ability
• Ability to simplify complex processes into technical solutions
• Excellent communication (technical and non-technical audiences)
• High attention to detail
• Independent work and multi-project management

Educational Requirements    
Required Qualifications

• Matric
• Degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).

Deadline:28th November,2025