Ai Modelling Services Manager

Network Recruitment; Gauteng; On-site; ZAR 1,000,000 - 1,800,000; Full time

Job summary

Network Recruitment seeks a senior AI Delivery Lead to drive end-to-end AI projects from strategy and design through deployment and production support.

You will mentor technical teams, partner with clients, and orchestrate scalable, enterprise-grade AI products while ensuring governance and responsible AI practices.

Qualifications

• Minimum 5 years' experience in Artificial Intelligence, ML or Data Science.
• At least 2 years' people management leading technical teams.
• Proven track record delivering enterprise AI products from design to production.

Responsibilities

• Lead end-to-end AI solution delivery from strategy to deployment.
• Mentor AI engineers and data scientists across projects.
• Engage with clients to identify AI-driven solutions and benefits.
• Architect and operationalise production-grade AI systems and frameworks.
• Ensure governance, security, and responsible AI practices.

Skills

AI strategy

AI engineering

Python development

ML/DS

Cloud platforms

LLMOps/MLOps

Generative AI

Agentic AI

Project management

Stakeholder engagement

Leadership

Client-facing consulting

Education

Bachelor's Degree in Computer Science

Bachelor's Degree in Data Science

Bachelor's Degree in Information Technology

Honours/Master's Degree in quantitative discipline

Tools

Python

API Development

Cloud Platforms

Job description

You will be responsible for driving end-to-end AI solution delivery, from strategy and solution design through to deployment and production support. Working closely with clients and cross-functional teams, you will lead the development of scalable, enterprise-grade AI products and solutions, mentor technical teams, and help organisations realise the business value of AI through innovative and practical implementations.

Key Responsibilities:

Lead the end-to-end delivery of AI, Machine Learning, and Generative AI projects. Design, develop, deploy, and operationalise production-grade AI solutions. Build, fine-tune, evaluate, and optimise Large Language Models (LLMs). Develop Agentic AI solutions and intelligent automation capabilities. Lead AI application and product development initiatives from concept to production. Engage with clients to understand business challenges and identify AI-driven solutions. Facilitate solution design workshops and provide strategic AI advisory services. Oversee AI model deployment, monitoring, governance, and performance management. Drive the development of reusable AI frameworks, accelerators, and best practices. Manage project timelines, budgets, resources, and stakeholder expectations. Mentor and develop AI Engineers, Data Scientists, and technical team members. Collaborate with architects, developers, and business stakeholders to deliver successful outcomes. Ensure adherence to responsible AI, security, compliance, and governance standards. Drive continuous innovation across AI delivery and operational processes.

Experience and Skills Required:

Education: Bachelor's Degree in: Computer Science Data Science Engineering Actuarial Science Information Technology Mathematics Statistics or a related field Advantageous: Honours Degree Master's Degree in a relevant quantitative or technology discipline Experience: Minimum 5 years' experience in Artificial Intelligence, Machine Learning, Data Science, AI Engineering, or a related field. Minimum 2 years' people management experience leading technical teams. Proven experience building and deploying production-grade LLM and Generative AI solutions . Experience delivering enterprise AI products and applications from design through to production. Strong client-facing consulting or stakeholder engagement experience. Proven project management experience delivering multiple complex technology projects. Experience implementing AI governance, monitoring, and operationalisation frameworks. Exposure to cloud-based AI and data platforms.

Technical Skills:

Large Language Models (LLMs) Generative AI Agentic AI and Multi-Agent Systems Retrieval-Augmented Generation (RAG) Prompt Engineering Fine-Tuning and Model Optimisation Machine Learning and Deep Learning LLMOps and MLOps Intelligent Automation AI Product Development AI Solution Architecture Python Development API Development and Integration Cloud-Based AI Solutions Model Deployment and Production Support

Key Competencies:

Strong leadership and people management skills. Excellent stakeholder engagement and client relationship management abilities. Commercial mindset with strong consulting capability. Exceptional problem-solving and analytical thinking skills. Strong communication and presentation skills. Ability to influence both technical and non-technical audiences. Solutions-driven approach with strong attention to detail. Ability to manage multiple priorities in a fast-paced environment. Passion for innovation and emerging AI technologies.