AI Technical Architect

Miro
Austin, TX

Who this role is best for

Best suited to technical consultants with AI solution design experience working in enterprise SaaS environments.

Best fit for

  • Technical consultants with experience designing AI solutions for enterprise SaaS environments
    — “Hands-on experience integrating AI into enterprise SaaS environments using APIs or low-code tools
  • Candidates who can act as a bridge between customer and internal product teams
    — “Bridging the gap between Customer Success, Product, and Engineering teams
  • Individuals with a strategic mindset and a clear interest in AI transformation
    — “Strategic mindset with a bias toward experimentation, iteration, and learning

Things to consider

  • Requires significant customer-facing technical consulting experience, not just AI development
    — “6+ years of experience in a technical consulting, solution architecture, or professional services role with customer-facing responsibilities
  • The role involves guiding customers through complex technical and change management processes
    — “Guiding organizations through the discovery, design, and hands-on configuration of AI-powered features

How to stand out

  • Highlight experience in AI solution design and deployment within enterprise workflows
    — “Design and implement AI-driven solutions in Miro, including intelligent templates, agents, summarization tools, and custom GPT integrations
  • Emphasize your ability to explain complex AI concepts to non-technical stakeholders
    — “Excellent facilitation and communication skills with the ability to explain complex AI concepts to a non-technical audience
  • Showcase your track record of influencing product roadmaps with customer insights
    — “Collaborate with Product and Engineering to influence the roadmap based on real-world customer needs and emerging AI trends
  • Demonstrate your knowledge of AI integration with external platforms like Zapier or Workato
    — “Guide customers through technical setup and change management for Miro’s AI features and integrations with other AI or automation platforms
  • Position yourself as a leader in AI safety and responsible deployment practices
    — “Knowledge of enterprise AI safety, data privacy, and responsible deployment practices
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • guiding customers through technical setup and change management for Miro’s AI features
  • influencing the roadmap based on real-world customer needs
Typical background
technical consultingsolution architectureprofessional services

Skills & requirements

Required

AI Solution ArchitectureLlmsPrompt EngineeringAgent FrameworksREST ApisLow-code/no-code Automation PlatformsFacilitation And Communication SkillsEnterprise AI SafetyData PrivacyResponsible Deployment Practices

Preferred

Knowledge Of Enterprise Saas EnvironmentsIntegration Of AI Into Enterprise Workflows

Stack & domain

AI SolutionsLlmsPrompt EngineeringAgent FrameworksREST ApisLow-code/no-code Automation PlatformsData PrivacyComplianceAPI UsageModel Performance MonitoringIntegration With Other AI Or Automation PlatformsIntelligent TemplatesAgentsSummarization ToolsCustom GPT IntegrationsLangchainCrewaiAutogptOpenaiHugging FaceVertex AIZapierWorkatoAzure OpenaiRAGFacilitationCommunicationStrategic MindsetCuriosityEmpathyFinanceHealthcare

About the role

Original posting from Miro via Ashby

Our Team’s Mission

We empower Miro’s go-to-market teams and customers with strategic consulting that drives adoption, scales innovation, and delivers measurable business value.

Our Team’s Vision

We are Miro's strategic edge in the market, turning customers' vision into velocity.

About the role 

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.

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 you’ll need

  • 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

Source: Miro careers (Ashby)

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