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AI Lead SDLC - TC

  • Hybrid
    • Centurion , Gauteng, South Africa
  • .NET

Job description

DVT is looking for an AI Lead to drive the practical adoption of AI across software delivery teams on a key client engagement. You will embed with teams, understand how they work, identify high-value opportunities and shape an effective AI-enabled software development lifecycle using the best combination of available tools, skills and agents. 

Why Join DVT?

  • Work on innovative projects with global industry leaders

  • Collaborate with top developers in a supportive and forward-thinking environment

  • Access to continuous learning and career development opportunities

  • Be part of a culture of innovation where your ideas and impact truly matter

  • Thrive in a team that values excellence, creativity, and collaboration

Join DVT on a high-impact client engagement and contribute within a collaborative, delivery-focused technology environment.

Job requirements

Key Responsibilities

  • Assess team workflows and identify where AI can improve the SDLC. 

  • Define a practical AI-enabled delivery approach for each team. 

  • Evaluate and combine available AI tools, assistants, skills and agents. 

  • Lead implementation, adoption and responsible-use practices. 

  • Guide technical stakeholders on integration, governance and measurable value. 

  • Establish reusable patterns and lessons that can be carried into subsequent teams. 

  • Coach teams through change until new ways of working are embedded.

Required Experience & Skills

  • Proven experience leading practical AI adoption in software delivery environments. 

  • A strong software engineering or technical delivery background. 

  • Hands-on understanding of AI coding assistants, agents and workflow automation. 

  • The ability to evaluate tools objectively and design fit-for-purpose solutions. 

  • Strong facilitation, stakeholder management and change-adoption capability. 

  • A pragmatic focus on implementation, outcomes and responsible AI use. 

Additional Experience

  • Experience with GitHub Copilot, Azure AI, OpenAI-based tooling or comparable platforms. 

  • AI governance, developer enablement or AI Centre of Excellence experience. 

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