# Senior Principal Field Architect

**Company:** [Twilio](https://hotfix.jobs/companies/twilio)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $284k – $406k/yr
**Experience:** 10+ years
**Skills:** AWS, Azure, GCP, aws bedrock, azure foundry, gcp vertex ai, Conversational AI, Machine Learning, Claude, gemini, Cursor, AI Agents, chatbots
**Posted:** 2026-07-25

> Senior Principal Field Architect leading integrations of Twilio's AI Agent Connect and Conversations suite with hyperscaler AI platforms. Requires 10+ years engineering experience plus deep cloud/AI architecture expertise to drive partnerships, product strategy, and enterprise adoption.

## Job Description

## Responsibilities
- 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).
- Demonstrate a deep, practical understanding of modern software development, including how developers use AI coding tools like Claude, Gemini, and Cursor to build conversational AI (e.g., omnichannel customer support agents) on top of Twilio.
- Act as a technical liaison and partnership builder with Partner Teams at leading AI tool and cloud companies, ensuring Twilio's APIs work perfectly within their ecosystems.
- Present Twilio's technical roadmap and vision to customers; consolidate insights into structured inputs for planning to help shape R&D priorities.
- Support and provide direction to Sales and Specialist teams on the latest positioning, use cases, and technical roadmaps; work with sales enablement to ensure teams are covering the right topics.
- Partner with the Specialist team to capture technical and business requirements with key enterprise accounts identified as design partners.

## Qualifications
**Required:**
- 10+ years of engineering experience coupled with 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) and 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.

**Desired:**
- 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.

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