Senior Principal Field Architect - AI Agents

Twilio Twilio · Enterprise · United States · Remote · Engineering

Senior Principal Field Architect role focused on integrating Twilio's platform with industry-leading AI tools and agent builder platforms to enable developers and customers in building conversational AI solutions. The role involves ecosystem engineering, strategic partnerships, and providing technical leadership to sales and GTM teams.

What you'd actually do

  1. Engineer seamless integrations between Twilio Agent Connect (TAC), the Twilio Conversations suite, and hyperscaler AI platforms (AWS Bedrock, Azure Foundry, GCP Vertex AI Agent Builder, and Meta's Business Agent platform for example).
  2. Demonstrate a deep, practical understanding of modern software development. You must know how developers are using AI coding tools like Claude, Gemini, and Cursor to build conversational AI (omnichannel customer support agents, for example) on top of Twilio today and in the future.
  3. Act as a technical liaison and partnership builder with our Partner Teams with leading AI tool and cloud companies, ensuring Twilio's APIs work perfectly within their ecosystems to accelerate our customers' time-to-market.
  4. Present Twilio's technical roadmap and vision to customers.
  5. Support and provide direction to Sales and Specialist teams on the latest positioning, use cases, and technical roadmaps.

Skills

Required

  • 10+ years of engineering experience
  • 8+ years in enterprise technology strategy technical product management, cloud engineering, or executive consulting roles
  • Deep architectural understanding of major cloud hyperscalers (AWS, Azure, GCP)
  • Hands-on familiarity with conversational AI, chatbots, cognitive services, and machine learning architectures and engineering practices
  • Strong technical background to discuss complex system architectures and integrate AI technologies
  • Ability to develop and execute long-term solution architectures, roadmaps, and cross-functional initiatives at an enterprise scale with significant business impact
  • Exceptional communication skills to articulate complex concepts to both highly technical developers and business-focused executives
  • Proven ability to advocate for customer-centric engineering practices and thrive in a fast-paced, evolving environment with comfort operating in areas of ambiguity

Nice to have

  • Proven track record of supporting and enabling sales and partner ecosystems with product knowledge and GTM materials
  • Experience building modern digital customer engagement experiences using cloud and AI services to help customers identify and resolve issues
  • Advanced degree (Master's in Computer Science, Physics, or related field), or Bachelor's degree from an accredited university or equivalent experience

What the JD emphasized

  • AI Agents
  • conversational AI
  • AI coding tools
  • agent builder platforms

Other signals

  • AI Agents
  • Conversational AI
  • Integrations with AI platforms
  • Developer experience with AI tools