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We are hiring an AI Technical Architect to support our most strategic customers in designing and deploying cutting-edge AI solutions that elevate collaboration and drive business outcomes using Miro. In this role, you'll serve as a trusted advisor and technical lead on AI use cases ranging from intelligent agents to workflow automation. This role will be responsible for guiding customers throughout the onboarding and implementation of our various AI solutions. You'll guide organizations through the discovery, design, and hands-on configuration of AI-powered features, ensuring that customers maximize value from Miro’s evolving AI capabilities. This role will also bridge the gap between Customer Success, Product, and Engineering teams, helping define how AI transforms collaboration at scale—both within Miro and across the customer’s broader tech ecosystem.
Job Responsibility:
Lead customer discovery sessions focused on identifying AI use cases, data sources, technical constraints, and automation opportunities
Design and implement AI-driven solutions in Miro, including intelligent templates, agents, summarisation tools, and custom GPT integrations
Serve as a trusted advisor on AI solution architecture, including data privacy, compliance, API usage, and model performance monitoring
Guide customers through technical setup and change management for Miro’s AI features and integrations with other AI or automation platforms (e.g. Zapier, Workato, OpenAI, Azure OpenAI, LangChain)
Collaborate with Product and Engineering to influence the roadmap based on real-world customer needs and emerging AI trends
Partner with Customer Success and Account Managers to ensure successful onboarding, measurable adoption, and retention of AI use cases
Facilitate enablement sessions and workshops for technical and non-technical audiences on using Miro’s AI tools effectively
Contribute to documentation, best practices, and scalable assets for repeatable AI engagements
Requirements:
6+ years of experience in a technical consulting, solution architecture, or professional services role with customer-facing responsibilities
Hands-on experience designing or implementing AI solutions, including working with LLMs, prompt engineering, and/or agent frameworks (e.g. AutoGPT, LangChain, RAG)
Strong familiarity with AI tooling and APIs (e.g. OpenAI, Hugging Face, Vertex AI), and knowledge of how to integrate these within customer workflows
Experience designing, evaluating, and deploying AI agents or workflows using frameworks like LangChain, CrewAI, or AutoGPT
Knowledge of REST APIs and experience with low-code/no-code automation platforms is a strong plus
Excellent facilitation and communication skills with the ability to explain complex AI concepts to a non-technical audience
Strategic mindset with a bias toward experimentation, iteration, and learning
Knowledge of enterprise AI safety, data privacy, and responsible deployment practices
Hands-on experience integrating AI into enterprise SaaS environments using APIs or low-code tools
Curiosity and empathy—especially when it comes to understanding a customer’s needs and how AI can uniquely solve them
What we offer:
Competitive equity package
Lunch, snacks and drinks provided in the office
Wellbeing benefit and WFH equipment allowance
Annual learning and development allowance to grow your skills and career
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