Senior AI Architect, Conversational AI

Twilio

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$275,840–$344,800 / yr
Posted
120 days ago
Freshness
Confirmed live yesterday
Closes
Nov 10, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k
This role $310k
$154k most similar roles pay here $365k

This role pays more than 92% of similar roles. Most pay $174,600–$246,150 — the shaded band above. At the midpoint, this role pays about $310k versus about $210k for comparable roles.

Based on 239 similar postings.

Employer

About Twilio

Twilio is a cloud communications platform that provides APIs and software, allowing developers to embed voice, messaging, video, and email functionalities directly into their applications.

Twilio currently has 36 open roles on FindRole.

Listed pay typically runs $155,520–$194,400 across 33 roles with salary data.

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View all roles at Twilio

At a glance

TL;DR · Senior AI Architect, Conversational AI

As a Sr AI Architect - Conversational AI, you will join the Twilio Platform team to drive the technical vision for customer-facing AI capabilities like Conversational Memory and Behavioral Data Intelligence. You will serve as a Distinguished Engineer and AI Contextual Engineering SME, establishing architectural guardrails and ensuring responsible AI principles across the organization. Your daily work involves transitioning cutting-edge research into resilient production systems, managing the ML/AI Ops roadmap, and leading the architecture for agentic AI systems involving orchestration and reasoning. You will utilize LLM architectures, RAG systems, MCP frameworks, and inference optimization while working with vector stores and cloud platforms like AWS, GCP, or Azure. This role solves complex technical challenges in context engineering, including semantic retrieval and state management, to power the next generation of customer engagement through advanced conversational AI technologies.

What you'll do

  • Define and drive a long-term AI/ML architectural vision aligned with business goals and customer engagement.
  • Own the strategic roadmap for the company-wide ML/AI Ops platform and tooling.
  • Evaluate and implement modern LLM architectures, RAG systems, and inference optimization techniques.
  • Lead the architecture for agentic AI systems including orchestration, reasoning, and contextual grounding.
  • Transition cutting-edge research into resilient, compliant, and cost-effective production systems.
  • Translate product roadmaps into specific technical milestones to ensure customer value.
  • Provide hands-on technical expertise through code reviews and pair programming while mentoring the team.

What we're looking for

  • Must have 15+ years of experience in software engineering.
  • Must have at least 6+ years of experience building and scaling production-grade ML systems at a platform level.
  • Requires extensive experience with ML Ops and LLM Ops patterns, including evaluation metrics and monitoring for non-deterministic features.
  • Requires deep expertise in transformer models, LLM orchestration, embedding models, inference optimization, and vector stores.
  • Must have a deep understanding of the Context Engineering lifecycle, including semantic retrieval and state management.
  • Requires experience building cloud-based services using AWS, GCP, or Azure with high-volume data management.
  • Must possess exceptional communication skills to mentor engineers and influence company-wide technical strategy.
  • Requires a Master's or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, or a related quantitative field.

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