Sr AI Architect - Conversational AI

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. We use Artificial Intelligence (AI) to help make our hiring process efficient. Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
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See yourself at Twilio
Join the team as Twilio’s next Sr AI Architect - Conversation AI.
This position is critical to leveraging Twilio’s massive data ecosystem and unmatched communication scale to build our customer facing AI capabilities, such as Twilio Conversational Memory, Enterprise Knowledge, Behavioral Data Intelligence and many more to power the future of our customer engagement platform.
AI Architect for Twilio Platform, you will also influence the design and evolution of our company-wide ML/AI Ops foundation. You will set the long-term technical vision, establish architectural guardrails, and ensure strict adherence to responsible AI principles. You will drive cross-organizational initiatives, solve complex technical challenges, and elevate the technical standards across all of Twilio. Transitioning AI/ML concepts from cutting-edge research to resilient, compliant, and cost-effective production systems will be your core mission.
As a Sr AI Architect, you will lead the company as the Distinguished Engineer and AI Contextual Engineering SME, serving as the guiding authority to our Architects, driving company-wide impact, and steering Twilios overarching technical direction for conversational AI. In this pivotal leadership role, you will also influence the design and evolution of our company-wide ML/AI Ops foundation. You will set the long-term technical vision, establish architectural guardrails, and ensure strict adherence to responsible AI principles. Transitioning AI/ML concepts from cutting-edge research to resilient, compliant, and cost-effective production systems will be your core mission.
Define and drive a long-term AI/ML architectural vision that aligns with Twilio’s business goals, specifically focusing on how data and memory power the next generation of customer engagement.
Own the strategic roadmap for Twilio’s ML/AI Ops platform and tooling, ensuring a unified approach to model development, deployment, and lifecycle management across all platform capabilities.
Evaluate and implement modern LLM architectures, RAG systems, MCP/tooling frameworks, and inference optimization techniques.
Lead architecture for agentic AI systems including orchestration, reasoning, tool usage, and contextual grounding.
Stay current with rapidly evolving advancements in LLMs, agent frameworks, reasoning systems, and AI infrastructure.
Transition seamlessly from high-level strategic communication with executives to deep-dive code reviews and pair programming with engineers.
Partner closely with Product Management to turn a roadmap into a sequence of technical milestones, ensuring that technical investments always map to customer value.
15+ years of experience in software engineering, with at least 6+ years specifically focused on building and scaling production-grade ML systems at a platform level.
~ Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics, automated retraining loops, and monitoring for non-deterministic AI features at scale.
~ Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including deep knowledge of transformer models, LLM orchestration, embedding models, inference optimization and vector stores.
~ Strong background in building cloud-based services using AWS, GCP, or Azure, with experience managing high-volume data and various data stores.
~ D. in Computer Science, Machine Learning, Data Science, Statistics, or a closely related quantitative field.

A track record of relevant publications at top ML conferences or significant open-source contributions.
Experience designing evaluation frameworks that specifically measure context quality
Track record of designing and implementing enterprise-scale ML/AI Ops platforms
This role will be remote and based in the United States.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way.
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
Application deadline information
Applications for this role are intended to be accepted until October 30, 2026 but may change based on business needs.
Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
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We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.