AI Lead SDLC - TC

Posted 9 Days Ago
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Centurion, City of Tshwane Metropolitan Municipality, Gauteng, ZAF
Hybrid
Entry level
Artificial Intelligence • Big Data • Software • Business Intelligence
Transforming businesses with innovative custom software development, AI and data engineering services.
The Role
Lead practical AI adoption across software delivery teams by assessing workflows, identifying SDLC opportunities, selecting AI tools and agents, guiding implementation and governance, coaching teams through change, and establishing reusable delivery patterns. The role requires strong software engineering or technical delivery experience, hands-on knowledge of AI coding assistants and workflow automation, stakeholder facilitation, change adoption, and responsible AI practices.
Summary Generated by Built In
About 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.

The Opportunity

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.

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.

Key Responsibilities
  • 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.

Minimum 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.

  • Hands-on experience with:

    • LLM APIs, prompt/context engineering and tool-calling workflows.

    • Agent development and AI-enabled automation.

    • Software engineering, API integration and production-grade development practices.

    • REST APIs, authentication, logging, debugging, version control and maintainable code.

    • SDLC tooling, source control, CI/CD and test automation.

    • Azure DevOps repositories, work items, pipelines and documentation integration, or equivalent platforms.

    • Secure development, data protection, access controls and responsible AI implementation.

  • Experience leading technical initiatives or coaching engineering teams.

Preferred 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.

What 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:

Skills Required

  • Proven experience leading practical AI adoption in software delivery environments
  • Strong software engineering or technical delivery background
  • Hands-on understanding of AI coding assistants, agents, and workflow automation
  • Ability to objectively evaluate tools and design fit-for-purpose solutions
  • Strong facilitation, stakeholder management, and change-adoption capability
  • Pragmatic focus on implementation, outcomes, and responsible AI use
  • Experience with GitHub Copilot, Azure AI, OpenAI-based tooling, or comparable platforms
  • Experience with AI governance, developer enablement, or AI Centre of Excellence initiatives
Am I A Good Fit?
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The Company
HQ: Johannesburg
689 Employees
Year Founded: 1999

What We Do

Custom Software, AI and Data Engineering services. Global Scale. Local Engagement. DVT is a proudly South African founded and operated technology services provider. As a BEE level 2 company, we are a committed local partner to South African clients, providing experienced software technology teams or staff to build, enhance or maintain your AI, data and software solutions.

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