Tech Lead: AI, Automation & Scalable Solutions

PTY; Cape Town; On-site; ZAR 1,200,000 - 2,400,000; Full time

Job summary

PTY is seeking a Tech Lead Engineer for AI & Automation in Cape Town to drive design, development and deployment of AI-powered automation across the business. You will mentor engineers, define reusable architectures and guide projects from PoC to production.

You will lead AI/ML initiatives, implement secure and scalable solutions, and collaborate with business units to realise measurable productivity gains and governance compliance.

Qualifications

• Degree in Computer Science, Engineering, Information Systems or related field is advantageous.
• 8+ years of software engineering, with at least 3 years in a Technical Lead or Team Lead role.
• Proven experience delivering AI/ML or Generative AI solutions into production environments.
• Demonstrable experience delivering process automation solutions, including RPA, workflow automation or low-code platforms.
• Experience with major cloud platforms such as Microsoft Azure or AWS.

Responsibilities

• Lead, coach and develop a team of AI, automation and software engineers, including recruitment and performance management.
• Define and maintain engineering standards, reference architectures and reusable components for AI and automation solutions.
• Design and develop solutions using LLMs, RAG, AI agents and enterprise API integrations.
• Drive intelligent automation of business processes, including RPA and workflow automation.
• Take solutions from proof of concept to production with security, scalability and observability.
• Establish MLOps/LLMOps practices with CI/CD, versioning and monitoring.

Skills

Leadership

Python

Generative AI

API Design

Communication

Education

Bachelors in Computer Science / Engineering / Information Systems

Tools

Azure

AWS

UiPath

Power Automate

Kubernetes

Job description

PTY is seeking a Tech Lead Engineer for AI & Automation in Cape Town to drive design, development and deployment of AI-powered automation across the business. You will mentor engineers, define reusable architectures and guide projects from PoC to production.

You will lead AI/ML initiatives, implement secure and scalable solutions, and collaborate with business units to realise measurable productivity gains and governance compliance.