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AI Lead SDLC - TC

DVT

We are seeking an experienced AI Enablement Lead to drive practical AI adoption across the Software Development Life Cycle (SDLC). This role combines hands-on AI engineering with leadership, coaching and delivery optimisation to improve engineering efficiency, quality and business outcomes.

About DVT

  • DVT DVT is a leading South African technology consulting and software engineering company that helps organisations deliver innovative technology solutions.
  • We partner with clients across multiple industries, providing exposure to complex projects, modern engineering practices and emerging technologies.

Responsibilities

  • Reporting to the Head of Development & Engineering, you will lead the implementation of AI-enabled solutions, establish AI engineering standards, optimise SDLC processes and build sustainable AI capability across engineering teams.
  • Design, build, integrate, test and deploy AI-powered solutions, agents and automations that improve engineering delivery.
  • Develop reusable AI capabilities including LLM integrations, retrieval workflows, context pipelines, tool-enabled agents and automated quality checks.
  • Integrate AI solutions into development environments, Azure DevOps workflows and engineering systems.
  • Identify and implement AI-assisted workflows across requirements, architecture, development, testing, CI/CD, documentation and production support.
  • Drive adoption of approved AI tools and practices through coaching, workshops, demonstrations and hands-on implementation.
  • Lead and mentor AI Specialists and coordinate delivery priorities for the AI Enablement team.
  • Develop AI engineering standards, governance frameworks and responsible AI practices.
  • Measure adoption, quality, efficiency and cost outcomes to demonstrate business value and optimise usage.
  • LLM APIs, prompt/context engineering and tool-calling workflows.
  • Agent development and AI-enabled automation.

Requirements

  • Relevant degree or diploma in Computer Science, Software Engineering, Information Technology or related field, or equivalent proven practical experience.
  • Minimum 6 years' hands-on software engineering experience.
  • Minimum 2 years' practical applied AI implementation experience.
  • Proven delivery of production-ready AI tools, agents, integrations or automations used by engineering teams.
  • Software engineering, API integration and production-grade development practices.
  • REST APIs, authentication, logging, debugging, version control and maintainable code.
  • Azure DevOps repositories, work items, pipelines and documentation integration, or equivalent platforms.
  • Secure development, data protection, access controls and responsible AI implementation.

Preferred

  • SDLC tooling, source control, CI/CD and test automation.
  • Experience leading technical initiatives or coaching engineering teams.
  • Experience Experience with Retrieval-Augmented Generation (RAG), embeddings and enterprise knowledge integration.
  • C#/.NET development experience.
  • Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, Codex or similar platforms.
  • Relevant certifications in applied AI, LLM engineering, software development, secure development or AI-enabled delivery.

Benefits

  • DVT Offers Continuous learning and professional development opportunities.
  • Exposure to diverse client environments and industries.
  • Career growth within a leading technology consultancy.
  • Access to modern engineering practices and emerging technologies.
  • Collaboration with highly skilled software engineering and consulting professionals.
  • Who we are: