AI Adoption Specialist Generative AI & Developer Enablement - 20102

About this job

Job Overview Assignment Description We are looking for an AI Adoption Specialist to drive practical adoption of AI tools within software development teams through hands-on training, workshops, and coaching. You will plan and deliver several practical workshops each week, tailored to developers' needs and daily workflows. The role focuses on generative AI, GitHub Copilot, prompting, AI agents, and AI-assisted software development and testing. You will help teams turn AI knowledge into effective working practices, identify adoption barriers, and transfer knowledge to internal AI ambassadors. This is a hands-on training and coaching role rather than a project management or AI architecture position. What You Will Work On Plan and deliver practical AI workshops and training sessions for development teams. Train developers in generative AI, GitHub Copilot, prompting, context management, and AI-assisted workflows. Demonstrate AI agents and AI-supported development and testing techniques. Adapt exercises and training materials to different roles, skill levels, and development tasks. Coach teams in applying AI tools to their everyday software development work. Identify adoption challenges and translate them into targeted training and coaching activities. Explain AI tool limitations, safe usage, and the importance of human review. Develop and maintain reusable training materials, exercises, and practical examples. Support knowledge transfer to internal AI trainers and AI ambassador networks. Work closely with developers using React, MUI,.NET 10, Java, SQL Server, VS Code, and Visual Studio. What You Bring Practical experience with generative AI and AI-assisted software development. Hands-on experience with GitHub Copilot, including prompting, context, instructions, and AI-assisted development workflows. Ability to independently plan and lead practical AI training sessions and workshops. Experience adapting training to different technical roles, skill levels, and real-world tasks. Ability to identify team needs and turn them into effective coaching and training activities. Understanding of AI tool limitations, secure usage, and human oversight. Strong communication and teaching skills, with the ability to explain technical concepts clearly. A proactive, self-directed, and delivery-focused working style. Ability to engage development teams and communicate both the benefits and limitations of AI tools. Meritorious Experience in regulated industries such as banking or insurance. Practical experience with AI agents and automated workflows. Experience using AI for test design, test automation, and quality assurance. Experience supporting multiple development teams in large organisations or SAFe environments. Experience building internal AI ambassador networks or knowledge-sharing programmes.

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