SATIC: Full-Stack Developer, AI Focus (Manager)

Our South Africa Delivery Centre is the latest part of PwC, a global brand delivering services for the biggest clients in the world. PwC leads the way in human led, technology-enabled professional services working with clients to transform their organisations and make them fit for the future.

We are looking for candidates who bring in-depth market experience, fused with outstanding technical capabilities, who want to be a part of a community of solvers to tackle the biggest challenges in society.

If you are looking for a career where every day is different, where challenges are complex and where you can make a real difference, then we want to hear from you.By choosing to join SATIC, you are choosing to work with teams all over the world, harnessing the power of world leading tech, and making a difference to real people’s lives. We are building one of the most innovative and exciting capabilities in the consulting industry. Taking the very best of our market leading approaches relating to business analysis, operating model design, change management, programme and project management, and transformation implementation.

We believe that taking an enterprise level approach to transformation has the power to unlock the biggest opportunities our clients have, to improve efficiency and effectiveness, and ensure they deliver the outcomes required for the people and places they serve.

Summary

The Full‑Stack Developer is responsible for leading the design, development and delivery of modern digital solutions with embedded AI capabilities. The role combines hands‑on full‑stack engineering, solution design, team leadership and stakeholder management.

This role works across front‑end, back‑end, cloud, data and AI components to build scalable, secure and user‑centric applications. The role is expected to contribute to technical strategy, guide development teams, manage delivery quality and help translate business needs into practical technology and AI‑enabled solutions.

Key responsibilities

• Design, develop, test and deploy full‑stack applications across web, API, data and cloud layers.
• Build responsive, accessible and user‑friendly front‑end interfaces.
• Develop secure, scalable and maintainable back‑end services, APIs and integrations.
• Ensure applications follow sound architecture, coding, testing and deployment standards.
• Lead technical delivery across the software development lifecycle, from discovery to production support.

AI‑focused development

• Design and implement AI‑enabled features using machine learning, generative AI, natural language processing, automation and intelligent workflows.
• Integrate applications with AI platforms, large language models, vector databases, APIs and enterprise data sources.
• Build prototypes, proof‑of‑concepts and production‑ready AI solutions.
• Apply prompt engineering, retrieval‑augmented generation, model evaluation and responsible AI principles.
• Work with data teams to ensure AI solutions use accurate, secure and fit‑for‑purpose data.
• Monitor AI outputs for accuracy, reliability, safety and business relevance.

Technical leadership

• Lead and mentor developers, analysts and junior engineers.
• Provide technical direction, code reviews and design guidance.
• Set engineering standards for clean code, testing, documentation, version control and DevOps.
• Support estimation, planning, sprint delivery and release management.
• Identify and resolve technical risks, dependencies and blockers.
• Promote reusable components, accelerators and engineering best practices.

Architecture and design

• Translate business requirements into technical solution designs.
• Define application architecture, integration patterns and data flows.
• Make informed technology choices across frameworks, cloud platforms, databases and AI tooling.
• Ensure solutions are scalable, resilient, secure and maintainable.
• Contribute to technology roadmaps, platform decisions and innovation initiatives.

Stakeholder and delivery management

• Engage with business stakeholders, product owners and delivery teams to understand requirements and priorities.
• Communicate technical concepts clearly to both technical and non‑technical audiences.
• Manage delivery expectations, timelines, risks and dependencies.
• Support project governance, status reporting and benefits tracking.
• Collaborate with cybersecurity, data governance, privacy, risk and compliance teams where required.

Security, risk and compliance

• Embed secure‑by‑design and privacy‑by‑design principles into solutions.
• Ensure appropriate controls for authentication, authorisation, data protection and auditability.
• Apply responsible AI controls, including human oversight, transparency, bias awareness and output validation.
• Ensure solutions comply with applicable internal policies, client requirements and regulatory obligations.
• Identify and elevate technology, data, security or AI‑related risks.

Experience Required

• 7 to 9 years of technical leadership experience, including mentoring teams and leading delivery.
• Significant experience in full‑stack software development.
• Experience leading technical teams or workstreams.
• Experience with AI, machine learning, generative AI or intelligent automation solutions.
• Experience working in agile delivery environments.
• Experience with cloud platforms and modern DevOps practices.
• Experience managing stakeholders and translating business needs into technical outcomes.
• Experience in consulting, professional services or client delivery environments would be advantageous.

Technical skills

Front‑end

• UI component libraries and responsive design.
• Front‑end testing and performance optimisation.

Back‑end

• Node.js, Python, Java, .NET or similar back‑end technologies.
• REST APIs, GraphQL and microservices.
• Authentication and authorisation frameworks.
• API design, integration and service orchestration.

Data and databases

• SQL and NoSQL databases.
• Data modelling and data integration.
• Vector databases and embeddings.
• Data pipelines and analytics integration.

AI and automation

• Generative AI and large language model integration.
• Prompt engineering and retrieval‑augmented generation.
• AI orchestration frameworks such as LangChain, Semantic Kernel or similar.
• Model evaluation, monitoring and responsible AI practices.
• AI APIs such as Azure OpenAI, OpenAI, AWS Bedrock, Google Vertex AI or similar.
• Intelligent automation and workflow tools.

Cloud and DevOps

• Azure, AWS or Google Cloud Platform.
• Git‑based development workflows.
• Containers and orchestration, such as Docker and Kubernetes.
• Infrastructure as code would be advantageous.
• Application monitoring, logging and observability.
• Secure coding.
• Automated testing.
• Code review.
• Documentation and technical design.
• Performance, scalability and reliability engineering.

Qualifications

Required

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Data Science or a related discipline; or equivalent practical experience.

Preferred

• Cloud certifications in Azure, AWS or Google Cloud.
• AI, data science or machine learning certifications.
• Agile, Scrum or product delivery certifications.
• Strong problem‑solving and analytical thinking.
• Practical understanding of AI opportunities, limitations and risks.
• Strong engineering discipline and attention to quality.
• Ability to communicate complex technology topics clearly.
• Collaborative and team‑oriented working style.
• Commercial awareness and delivery ownership.
• Ability to work in fast‑paced, ambiguous environments.
• Strong judgement, accountability and professionalism.
• Curiosity and continuous learning mindset.

Working Hours and Hybrid Model

This role requires working the standard office hours of the (territory name) office. During the training period, daily in‑office attendance is required. Upon successful completion of training, you will transition to a hybrid working model. Please note that PwC SATIC’s hybrid working arrangements are subject to change based on business, client, and team requirements. Please confirm that you have read, understood, and agree to these requirements.