AI Engineer - Sandton at Catch

POSITION OVERVIEW

• We are looking for a high-calibre AI Engineer (Forward-Deployed AI) to help transform how our business operates by embedding AI directly into core workflows, teams, and decision-making processes.
• This is not a traditional engineering role. You will sit at the intersection of engineering, operations, and enablement, working closely with business teams to identify high-impact opportunities and then rapidly design, build, and deploy AI-powered tools, agents, and automations that fundamentally change how work gets done.
• You will act as both a builder and an accelerator: someone who can go from understanding a messy real-world workflow to shipping a working AI solution to enabling others to adopt and extend it independently.
• Success in this role is measured not by prototypes shipped, but by workflows transformed, time saved, and teams who permanently adopt AI-first ways of working.

KEY RESPONSIBILITIES

Embed with business teams and identify high-impact opportunities

• Work directly with business stakeholders across functions (e.g. tax, operations, client services, finance, etc.)
• Map existing workflows end-to-end to identify bottlenecks, inefficiencies, and automation opportunities
• Translate ambiguous business problems into structured AI opportunities
• Prioritise use cases based on leverage, feasibility, and business impact

Build and deploy AI systems that transform workflows

• Design and build AI-powered tools, agents, and automations using modern LLM and AI frameworks
• Integrate AI solutions into existing systems, data sources, and day-to-day tools
• Move quickly from prototype to production, with a strong bias toward usable, embedded solutions
• Ensure solutions are robust, secure, and maintainable in real operational environments

Drive AI adoption and behavioural change

• Coach and support non-technical users in adopting AI tools in their daily work
• Help teams move from experimentation → consistent AI usage → full workflow transformation
• Create simple, reusable playbooks and templates to scale successful patterns across teams
• Reduce reliance on you over time by enabling teams to build and iterate independently

Build reusable systems and scale impact

• Identify patterns across workflows and design reusable AI components and frameworks
• Standardise solutions where possible to avoid one-off builds
• Contribute to an internal library of tools, prompts, agents, and automation workflows
• Continuously improve existing systems based on user feedback and performance

Operate at the intersection of product, engineering, and change management

• Collaborate with engineering and business leadership to align AI initiatives with strategic priorities
• Communicate clearly with both technical and non-technical stakeholders
• Document workflows, solutions, and impact in a way that enables scaling across the organisation
• Act as a bridge between “what AI can do” and “what the business actually needs”
• WHAT YOU BRING

EDUCATION:

• Bachelor’s degree in Engineering, Computer Science, Mathematics, or Information Technology related fields with a strong academic background.

EXPERIENCE:

• Experience/interest in working AI tools like Claude and other LLMs.
• Experience working with machine learning advantageous.

COMPETENCIES:

• Strong competency in code development languages like Python and Java.
• Familiarity with modern cloud technology, SaaS products, and low code platforms advantageous e.g. AWS, Azure