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Miro
Miro

AI Technical Architect

RemoteUnited States only
Published
Role
AI / ML
Experience
Senior
Company size
Enterprise
Salary not disclosed
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Customer-facing AI solution architect with 6+ years in technical consulting, solution architecture, or professional services. Needs hands-on LLM, prompt engineering, agent framework, AI API, REST API, and enterprise SaaS integration experience. Remote US role.

Core skills

LLMsLangChain/CrewAI/AutoGPTREST APIs

Required skills

Prompt engineeringAgent frameworksOpenAIHugging FaceVertex AIAPIsLow-code/no-code automation platforms

What you'll do

  • 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, summarization 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

What they require

  • 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
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Details

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Salary not disclosed