AI Technical Architect

3 weeks, 3 days ago
Senior
Artificial Intelligence and Machine Learning
Miro

Miro

Miro is an online, visual collaboration platform designed to unlock creativity and accelerate innovation among teams of all kinds. The platform’s infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, ...

Internet Software & Services
1K-5K
Founded 2011
$476M raised

Description

  • Lead customer discovery sessions to identify AI use cases, data sources, technical constraints, and automation opportunities.
  • Design and implement AI-driven solutions in Miro, including templates, agents, summarization tools, and custom GPT integrations.
  • Advise customers on AI solution architecture, including data privacy, compliance, API usage, and model performance monitoring.
  • Guide technical setup and change management for Miro’s AI features and integrations with other AI and automation platforms.
  • Collaborate with Product and Engineering to shape the roadmap based on customer needs and emerging AI trends.
  • Partner with Customer Success and Account Managers to drive successful onboarding, adoption, and retention.
  • Facilitate enablement sessions and workshops for both technical and non-technical audiences.
  • Contribute documentation, best practices, and reusable assets for scalable AI engagements.
  • Bridge Customer Success, Product, and Engineering to support AI transformation across Miro and customer ecosystems.

Requirements

  • 6+ years of experience in technical consulting, solution architecture, or professional services with customer-facing responsibilities.
  • Hands-on experience designing or implementing AI solutions, including LLMs, prompt engineering, and/or agent frameworks.
  • Strong familiarity with AI tools and APIs such as OpenAI, Hugging Face, and Vertex AI.
  • Experience designing, evaluating, and deploying AI agents or workflows using frameworks like LangChain, CrewAI, or AutoGPT.
  • Knowledge of REST APIs and low-code/no-code automation platforms is a strong plus.
  • Excellent facilitation and communication skills, with the ability to explain complex AI concepts to non-technical audiences.
  • 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 for understanding customer needs and applying AI to solve them.

Interested in this position?

Apply directly on the company website

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