AI SDLC Specialist: Tooling & Adoption

DVT

Centurion

On-site

ZAR 600,000 - 1,000,000

Full time

7 days ago
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Job summary

DVT is seeking an AI Specialist to embed within software delivery teams and turn AI opportunities into working solutions. The role focuses on configuring, combining and adopting AI tools and agents to enhance the SDLC rather than building every capability from scratch.

Collaborate with developers and analysts, drive AI-assisted approaches across development, testing and documentation, and create reusable patterns for scalable impact within client engagements.

Qualifications

  • Hands-on experience applying AI tooling within the software development lifecycle.
  • A software engineering, automation or technical delivery background.
  • Practical knowledge of AI assistants, agents, prompt design and workflow integration.
  • The ability to learn a team’s context quickly and implement fit-for-purpose solutions.
  • Strong coaching, communication and change-adoption skills.
  • A delivery mindset focused on usability, value and responsible implementation.

Responsibilities

  • Observe team workflows and identify practical AI opportunities.
  • Configure and implement AI tools, assistants, skills and agents.
  • Introduce AI-assisted approaches across development, analysis, testing and documentation.
  • Create reusable prompts, workflows and implementation patterns.
  • Support users directly, troubleshoot adoption challenges and refine solutions.
  • Help teams measure value and sustain new AI-enabled ways of working.
  • Capture lessons before moving on to enable the next team.

Skills

AI tooling in SDLC
Software engineering background
Prompt design
Team learning ability
Coaching & communication
Delivery mindset

Tools

GitHub Copilot
Azure AI
OpenAI tooling
Cursor

Job description

DVT is seeking an AI Specialist to embed within software delivery teams and turn AI opportunities into working solutions. The role focuses on configuring, combining and adopting AI tools and agents to enhance the SDLC rather than building every capability from scratch.

Collaborate with developers and analysts, drive AI-assisted approaches across development, testing and documentation, and create reusable patterns for scalable impact within client engagements.

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