At The Brandtech Group, we help the world’s biggest brands grow by connecting content, data and media through technology. But transformation doesn’t happen because tools exist - it happens when people know how to use them confidently, creatively, and consistently. That’s where you come in. Pencil, our enterprise AI platform, is changing how global marketing teams work. It embeds AI directly into creative and operational workflows, unlocking new speed and scale. But real impact depends on adoption — and adoption depends on learning. We’re looking for an AI Training Specialist to build the capability engine behind this transformation. The Role: You’ll design and deliver learning experiences that turn AI from “new technology” into “everyday habit”. This is not traditional training. It’s hands-on enablement, real-world problem solving, and continuous capability building embedded directly into how teams work. You’ll partner closely with Product, Change, and Implementation teams to ensure that every new feature, workflow and innovation is understood, adopted, and applied in practice. Think of yourself as the bridge between what AI can do and what people actually do with it. What Success Looks Like: You’ll be measured on real-world impact, not attendance: - Capability uplift: measurable improvement in AI skills and confidence - Completion & certification: strong engagement across learning pathways - Post-training adoption: AI actively used in daily workflows and projects - Programme reach: scale across markets, teams, and disciplines - Learner satisfaction: high engagement, strong feedback, and positive NPS What You Bring: - Experience delivering training for digital transformation, technology, or marketing platforms. - Strong grounding in adult learning principles and instructional design - Background in training, capability building or designing and delivering workshops and hands-on learning sessions. - Experience working with Product, Change, or Customer Success teams in transformation environments. - Ability to translate complex AI concepts into simple, engaging, practical learning - Confident facilitator - comfortable running live sessions, demos, and hands-on workshops - Curiosity and enthusiasm for AI and how it changes work You’ll Thrive Here If You… - Believe capability is what makes transformation real - Enjoy helping people build confidence through experimentation and practice - Prefer clarity, simplicity, and creativity when explaining complex ideas - Naturally collaborate with product and change teams - Care about behaviour change as much as knowledge transfer - See learning as continuous, not a one-off event - Get energy from scaling knowledge across global teams What You’ll Do: You’ll be at the centre of AI adoption across the business: - Design and deliver practical learning programmes that build real AI capability - Act as a super-user of Pencil, translating product updates and features into clear, usable training - Work directly with teams to identify capability gaps and evolving needs - Run live enablement sessions, drop-ins to solve real workflow challenges - Measure what matters - capability growth, adoption, confidence and continuously improve programmes - Create compelling demos, showcases, and case studies that demonstrate real-world impact - Partner with Customer Success/ Account Managers, Marketing, and HR to amplify success stories across the business. - Lead engaging roadshows, live sessions, and thought leadership experiences that inspire adoption - 25 days PTO plus public holidays, although we operate a Flexible Time Off scheme - Health insurance / private medical cover - Monthly stipend towards wellness, fitness, and learning and development - Remote - work from anywhere in your home country - Enhanced parental leave policies, whether you become a parent through birth, adoption or surrogacy - Flexible working hours

• Lead the architecture, design, build, and maintenance of the MCP (Model Context Protocol) ecosystem • Vet MCP servers for security, compliance, and functionality; build and optimize server configurations • Architect token optimization, performance tuning, and maintain MCP server catalog • Design, develop, and review secure AI skills, agents, and plugins • Establish a reusable skills library with standards, templates, and documentation • Lead RAG and AWS Knowledge Bases optimization, including embedding, chunking, retrieval testing, and taxonomy design • Develop and maintain governance structures, security reviews, vetting processes, and compliance frameworks • Ensure IAM, authentication, and authorization requirements are met • Troubleshoot complex MCP, skills, agent, and environment setup issues • Maintain support documentation and perform root cause analyses • Lead onboarding, demos, and technical enablement for AI tools (Claude Code, MCP, AWS AI stack) • Evaluate new AI platforms and design proof‑of‑concepts • Provide senior technical implementation support for AI projects and automation frameworks

• Join sales calls as the senior technical voice, establishing credibility with both technical and business stakeholders • Lead structured discovery to surface AI use-case opportunities, pain points, and value hypotheses • Facilitate working sessions to explore client data, systems, and operational context • Challenge and refine client assumptions where necessary to avoid misaligned scope • Translate discovery findings into coherent AI solution concepts, selecting appropriate architectures (agentic systems, RAG pipelines, data platforms, LLM integrations, etc.) • Design high-level solution architectures grounded in A.Team's composable AI platform capabilities • Define integration patterns with client systems (CRMs, ERPs, data warehouses, cloud infrastructure) • Identify and mitigate technical risk within proposed solutions • Author the technical sections of client proposals: solution overview, architecture diagrams, delivery approach, and assumptions • Produce delivery roadmaps with phased milestones and realistic timelines • Define resource requirements (roles, skills, FTE/day estimates) and translate into cost models • Work with the Account Executive to align technical scope with commercial packaging • Prepare and deliver tailored demonstrations of A.Team's AI platform and prior delivery examples • Adapt showcases to the client's industry, use case, and technical maturity • Build lightweight proof-of-concept assets where needed to accelerate client confidence • Articulate A.Team's differentiated AI proposition in terms relevant to the client's context • Stay current on the AI landscape (model capabilities, tooling, agent frameworks, enterprise deployment patterns) to advise credibly • Contribute to A.Team's internal IP: reusable solution patterns, reference architectures, and proposal templates.

• Projetar, desenvolver e evoluir soluções de IA generativa em ambiente AWS, com foco em escalabilidade, segurança e sustentação produtiva; • Construir arquiteturas para aplicações baseadas em LLMs, RAG, agentes de IA e automação inteligente; • Integrar serviços de IA, APIs, bases de dados, mecanismos de busca e sistemas corporativos em fluxos inteligentes de ponta a ponta; • Atuar na preparação, transformação e disponibilização de dados para consumo por aplicações de IA e analytics avançado; • Desenvolver componentes em Python para orquestração, integração, inferência e automação de processos; • Implementar e sustentar soluções utilizando Amazon Bedrock e outros serviços AWS voltados à IA; • Apoiar a definição de padrões de arquitetura, segurança, governança, observabilidade e eficiência de custos para soluções de IA; • Trabalhar de forma colaborativa com times multidisciplinares na tradução de necessidades de negócio em aplicações inteligentes; • Garantir qualidade, rastreabilidade, monitoramento e evolução contínua das soluções em produção.