Senior AI Architect – Conversational AI

🕒 July 25

🇺🇸 United States – Remote

💵 $275.8k - $405.6k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Twilio

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🔌 API

🤝 B2B

API • B2B

Twilio is a leading provider of cloud communications services that enables developers to build innovative communication solutions. Founded in 2008, Twilio has democratized access to communication channels such as voice, text, chat, video, and email through easy-to-use APIs. With headquarters in San Francisco and a global presence, Twilio empowers organizations of all sizes to engage effectively with their customers by integrating these communication capabilities into their applications.

📋 Description

• Define and drive a long-term AI/ML architectural vision • Own the strategic roadmap for Twilio’s ML/AI Ops platform and tooling • Evaluate and implement modern LLM architectures • Lead architecture for agentic AI systems • Transition seamlessly from high-level strategic communication to deep-dive code reviews • Partner closely with Product Management

🎯 Requirements

• 15+ years of experience in software engineering • At least 6+ years focused on building and scaling production-grade ML systems • Extensive experience with ML Ops and LLM Ops patterns • Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems • Strong background in building cloud-based services using AWS, GCP, or Azure • A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, or a closely related field

🏖️ Benefits

• Competitive pay • Generous time off • Ample parental leave • Healthcare • Retirement savings program