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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Adoption Specialist (AI Adoption) - **Company:** AWE plc - **Location:** Aldermaston, UK - **Salary:** £61,460.0 - £90,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Software Engineering, Chatbots, Information Technology, Low-code - **Published:** June 10, 2026 - **Apply:** https://bfrss.org.uk/profiles/companies/90939//?show=1912870&showtype=VAC ## About the Role * Bachelor's degree, or equivalent professional experience, in a relevant field such as Computer Science, Data Science, Software Engineering, Digital Transformation, or a related STEM field. * Substantial experience leading technology adoption, digital transformation, or workforce enablement in a complex organisation. * Hands-on experience delivering digital solutions, ideally AI-powered or automation-based, from concept through deployment and adoption. * The role requires someone who can explain complex AI concepts in clear, relatable terms, lead training and workshops effectively, and address concerns in a way that builds trust and buy-in. * The candidate should be comfortable using technologies such as generative AI services, chatbot platforms, data analysis and visualisation tools, and low-code or no-code development environments. Work hard, be rewarded: We ask a lot and set the bar high because our work truly matters. In return we offer balance, with award winning benefits including ## Description * Drive organisation-wide AI uptake through a people-centred adoption programme, building confidence, responsible use and an AI-enabled culture that improves productivity and ways of working. * Design and run a comprehensive AI training curriculum for all staff levels, building practical skills, digital confidence and safe, effective use of AI tools. * Lead quick-win delivery of lightweight AI tools embedded in local workflows, ensuring they are user-friendly, valuable and appropriately governed before handing complex cases to Enterprise AI. * Build and manage a high-performing team with agile, delivery-focused ways of working. Provide coaching, clear direction and a culture of pace, collaboration and continuous improvement. * Establish and grow an internal AI Champions network and communities of practice to spread knowledge, share success stories and embed grassroots enthusiasm for AI. * Lead change management, communications and hands-on support to ensure new AI tools are adopted smoothly. Provide onboarding, guidance and practical help during roll-outs. * Monitor usage, impact and user feedback for AI tools and training. Define success metrics and drive improvements through retraining, tool refinement or targeted interventions. * Uphold responsible AI policies, apply safeguards, and ensure every solution has a clear sustainment plan with appropriate handover to business units or Enterprise AI. Additional duties: * Create tailored training materials, deliver engaging sessions and continuously refine content based on feedback and learning trends. * Oversee agile squads delivering small-scale AI solutions, ensuring tight scoping, rapid iteration and essential governance while escalating larger opportunities appropriately. * Act as a visible AI champion, engaging employees and managers, addressing concerns, demonstrating tools in action and supporting local champions. * Deliver structured campaigns, leadership messaging and ethical-use communications to prepare and motivate employees for AI roll-outs. * Coordinate early-life support, quick-start guides, team briefings and follow-up channels to build user confidence and resolve issues quickly. ## Related Videos - [The AI Skills Gap: What Tech Leaders Must Get Right](https://www.wearedevelopers.com/videos/1704-the-ai-skills-gap-what-tech-leaders-must-get-right) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Reimagining app development with Low-code and AI](https://www.wearedevelopers.com/videos/1651-reimagining-app-development-with-low-code-and-ai) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The AI-Ready Workforce: Upskilling Lessons from the Real World](https://www.wearedevelopers.com/videos/100280-the-ai-ready-workforce-upskilling-lessons-from-the-real-world) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)