• Partner with Customer Success Managers, AI Engagement Managers, and Product teams to define customer requirements, facilitate technical workshops, and co-create GenAI solutions • Apply an AI-first experimentation mindset—build proof points in days, iterate on feedback, and demonstrate quick wins that build momentum for transformations • Design, build, and deploy full-stack applications and microservices integrating Typeface API/SDK, Brand Hub, Arc Agents, and multimodal content generation • Build custom agents and workflows tailored to specific customer use cases • Develop integrations with customer systems (CMS, DAM, marketing automation, analytics) and platforms like Google Workspace, Salesforce, Adobe Experience Cloud, and Campaign Manager 360 • Capture field-proven use cases and funnel them back to Product and Engineering teams to inform the Typeface platform roadmap • Identify patterns and opportunities for productization of custom solutions while championing customer needs in internal product discussions • Develop reusable components, templates, and patterns deployable across customers with CI/CD pipelines and governance checks • Create automated testing frameworks for brand compliance, content safety, and quality assurance while designing scalable architectures for enterprise-grade volumes • Own delivery sprints from requirements through deployment, tackling challenges on-site or remotely while balancing multiple customer engagements • Document playbooks, prompts, patterns, and best practices in internal knowledge bases and create technical guides for common use cases • Share learnings across the organization, mentor other engineers, and present technical demos and case studies at customer events