Senior Principal Field Architect - AI Agents

Who we are  At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to  hundreds of thousands of businesses  and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio Join the team as Twilio’s next Senior Principal Field Architect - AI Agents About the job The Senior Principal Field Engineer is a critical, highly visible leader on the Field CTO team who bridges the gap between Twilio's product vision and our customers' needs. In the rapidly evolving era of AI, Twilio takes an open and flexible approach: we want developers to use their preferred AI coding tools and agent builder platforms to get up and running extremely quickly with our platform of APIs across a variety of services that address many use cases. In this P7 Distinguished Engineer role, you will be in R&D and partner with Product, Engineering, Sales and GTM teams to spearhead the launch and adoption of our AI-native platform services. You will be the field engineering linchpin ensuring that the newly launched Twilio Conversations suite and Twilio Agent Connect (TAC) integrate flawlessly with the industry's top AI tools. Your mission is to ensure that insights from the field directly influence product strategy while actively building deep, functional partnerships with the companies driving the AI revolution. You will derisk adoption, increase partner integrations to accelerate adoption and create repeatable blueprints for mass adoption. Responsibilities In this role, you’ll: Ecosystem Engineering & Integration: 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). Champion the Builder’s Mindset: 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. Strategic Partnerships: 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. Roadmap & Vision Leadership: Present Twilio's technical roadmap and vision to customers. Consolidate insights into structured inputs for planning to help shape R&D priorities. Sales & Go-to-Market Enablement: 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. Customer Discovery: Partner with the Specialist team to capture technical and business requirements with key enterprise accounts identified as design partners. Qualifications  Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 10+ years of engineering experience coupled with 8+ years in enterprise technology strategy technical product management, cloud engineering, or executive consulting roles. Cloud & AI Expertise: 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. Engineering Nuance: A strong technical background to discuss complex system architectures and integrate AI technologies. . Strategic Thinking & Leadership: Ability to develop and execute long-term solution architectures, roadmaps, and cross-functional initiatives at an enterprise scale with significant business impact. Technical & Business Acumen: Exceptional communication skills to articulate complex concepts to both highly technical developers and business-focused executives. Customer Focus & Agility: Proven ability to advocate for customer-centric engineering practices and thrive in a fast-paced, evolving environment with comfort operating in areas