AI Adoption Specialist Generative AI & Developer Enablement - 20102
Veritaz AB · Stockholm · 6 månader – upp till 12 månader · Deadline 2026-11-14
Veritaz AB is seeking an **AI Adoption Specialist** to accelerate the practical uptake of AI tools across software development teams. Operating as a **hands-on training and coaching role** rather than an architecture or project management position, the work centres on planning and delivering several practical workshops each week. Key responsibilities include training developers in generative AI, GitHub Copilot, prompting, context management, and AI-assisted coding and testing workflows. The specialist works closely with developers using technologies such as React, MUI, .NET 10, Java, SQL Server, VS Code, and Visual Studio, while creating reusable training materials, addressing adoption barriers, emphasising safe usage and human oversight, and transferring knowledge to internal AI ambassador networks. Candidates must have **practical experience with generative AI and GitHub Copilot**, alongside demonstrated ability to independently plan and lead technical workshops tailored to varied skill levels. Strong communication and teaching skills are essential, together with an understanding of AI limitations and secure usage. Experience in regulated sectors like banking or insurance, practical work with AI agents, automated testing, scaling support within SAFe or large organisations, and building internal ambassador networks are considered meritorious.
Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
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.