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Sr AI Architect - Conversational AI

Twilio· Engineering
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Hybrid (Remote/US)$275.8k - $344.8kFull-timePosted 2mo ago

About the role

Senior AI Architect focused on conversational AI at Twilio, shaping the long-term ML/AI Ops foundation, architecture for agentic AI systems, and production-grade AI capabilities across the Twilio platform."

Responsibilities

  • Define and drive a long-term AI/ML architectural vision that aligns with Twilio’s business goals, focusing on data and memory powering 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 from high-level strategic communication to deep-dive code reviews and pair programming with engineers.
  • Partner with Product Management to convert roadmaps into technical milestones ensuring alignment with customer value.
  • Adopt a player-coach mindset, providing hands-on technical expertise while mentoring the team.

Qualifications

  • 15+ years of software engineering experience, with at least 6+ years building and scaling production-grade ML systems at a platform level.
  • Extensive ML Ops and LLM Ops experience, including evaluation metrics, automated retraining loops, and monitoring for non-deterministic AI features at scale.
  • Deep expertise in production-grade ML/AI systems design, architecture, deployment, transformer models, LLM orchestration, embeddings, inference optimization, and vector stores.
  • Deep understanding of the Context Engineering lifecycle (semantic retrieval, contextual compression, state management across multi-turn conversations).
  • Strong background building cloud-based services on AWS, GCP, or Azure with high-volume data and diverse data stores.
  • Excellent communication and collaboration skills with ability to mentor engineers and influence strategy.
  • Master’s or Ph.D. in Computer Science, ML, Data Science, Statistics, or related quantitative field.

Skills

Required:ML/AI architecture and systems designML Ops / LLM OpsLLM orchestration and embedding modelsContext Engineering lifecycle

Benefits

  • Competitive pay
  • Generous time off
  • Parental and wellness leave
  • Healthcare
  • Retirement savings program
  • Other location-based offerings
Last updated Oct 1, 2026. Interested? Apply on the company site.

About Twilio

Twilio platform for communications and programmable APIs across messaging, voice, video, and AI-enabled workflows.

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