AI Technical Coach | AWS

Experteer Overview In this role you will enable technical teams to adopt Generative AI and Agentic AI by delivering hands-on demos, workshops, and coaching focused on AWS Bedrock, Python, Terraform, and CI/CD. You’ll support AI reskilling efforts, partner with experts to align with standards, and guide groups from learning to autonomous development. The role sits in a supportive, growth-oriented environment that values mentorship, continuous training, and cross-functional collaboration. This is a chance to shape how teams leverage AI responsibly and effectively. Pay / Benefits * Deliver technical demos, workshops, and coaching on AWS Bedrock and Agentic AI * Support technology teams through AI reskilling journeys and mentorship * Collaborate with technical experts to understand and apply company standards * Answer technical questions and monitor learners’ progression toward autonomous development * Create and share practical training materials and knowledge resources * Participate in ongoing improvement of learning programs and communities Tasks * Solid experience with AWS services, ideally including AWS Bedrock * Proficiency in Python * Understanding of Agentic AI and Generative AI foundations * Experience with Terraform, CI/CD practices, and SDLC * Strong communication and mentoring skills * Experience delivering training, workshops, demos, coaching or knowledge-sharing activities Key requirements * private health insurance * full coverage for sick leave * free emotional, legal, and family support * gym discounts or sports compensation * flexible remuneration: meals, transport, childcare * 23 working days of vacation

_ ongoing improvement of learning programs and communities Tasks * Solid experience with AWS services, ideally including AWS Bedrock * Proficiency in Python * Understanding of Agentic AI and Generative AI foundations * Experience with Terraform, CI/CD practices, and SDLC * Strong communication and mentoring skills * Experience delivering training, workshops, demos, coaching or knowledge-sharing activities Key requirements * private health insurance * full coverage for sick leave * free emotional, legal, and family support * gym discounts or sports compensation * flexible remuneration: meals, transport, childcare * 23 working days of vacation