AI Solutions Engineer; Associate

Sanlam Life and Savings is one of the key businesses within Sanlam, focused on helping clients build, protect and preserve their financial futures. Through our technology, products and people, we support millions of client and intermediary interactions across South Africa.

Business Transformation and Shared Services Technology, or BTSS Tech, owns and enables important technology platforms that allow existing clients to engage with Sanlam through servicing, claims, complaints, collections and payments. We also provide the technology that enables Sanlam’s Customer Service teams to support clients effectively.

BTSS Tech has an ambitious mandate: run today’s critical technology with excellence, continuously optimise it, and modernise the technology landscape that will power Sanlam’s future customer experience.

As an AI Solutions Engineer, you will help us identify, build and ope rationalise practical AI solutions that improve customer journeys, support service employees, simplify processes and strengthen technology operations.

• This is a hands‑on junior to intermediate engineering role for someone who has established foundations in software, data or AI engineering and is ready to apply them to real business problems.
• You will work alongside experienced engineers, architects, product teams and business stakeholders, learning rapidly while taking increasing ownership for solutions from experimentation through to production.
• You will not simply experiment with AI. You will help turn promising ideas into responsible, secure and useful solutions that work in the real world.

The AI Solutions Engineer turns emerging AI capabilities into secure, scalable and production‑ready solutions that improve customer experiences, empower service teams and help modernise the BTSS Technology landscape. The role works across Generative AI, intelligent automation, data and software engineering.

You will contribute hands‑on across the solution lifecycle while building your capability in RAG, agentic AI, cloud engineering and modern software development practices.

• Build AI‑enabled solutions
• Design and develop components for machine learning, generative AI and intelligent automation solutions.
• Build prototypes and proofs of concept that test whether an AI opportunity is technically feasible, desirable for users and valuable to the business.
• Develop AI‑enabled applications such as:
• knowledge assistants;
• service‑agent copilots;
• intelligent search solutions;
• document classification and information extraction;
• summarisation and response‑support tools;
• customer‑service workflow automation;
• technology operations and engineering assistants
• Assist in building agentic workflows that can reason across multiple steps, use approved tools and APIs, and complete controlled actions with appropriate human oversight.
• 2. Engineer solutions for production
• Write clean, modular, testable and maintainable code.
• Package AI capabilities into APIs, services, applications or reusable components that can integrate with BTSS platforms.
• Collaborate with software engineers and architects to connect AI solutions to customer engagement, CRM, service, payments and other enterprise platforms.
• Use version control, code reviews, automated testing and CI/CD practices to improve engineering quality.
• Containerise and deploy solution components using approved cloud and platform services.
• Contribute to the monitoring, support and continuous improvement of AI solutions once they are in production.
• Work with data and enterprise knowledge
• Prepare, transform and validate structured and unstructured data for use in AI solutions.
• Develop data ingestion and processing components using Java, SQL and relevant data‑engineering tools.
• Connect…