Senior AI Architect, Conversational AI – Remote

Twilio

United States

Remoto

USD 292.000 - 406.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Equity plan
401(k) retirement plan
Paid time off
Parental leave
Healthcare

Descrizione del lavoro

Twilio is seeking a Sr AI Architect - Conversation AI for a remote US-based role. You will shape Twilio’s AI capabilities across the data ecosystem and scale its customer-facing AI features such as conversational memory and enterprise knowledge.

You will define long-term technical vision, establish guardrails, and drive cross-organizational initiatives, balancing research with production-ready, compliant systems. This role blends leadership with hands‑on engineering and mentorship.

Competenze

  • 15+ years of software engineering with 6+ years in production ML systems at platform level.
  • Deep expertise in production ML/AI systems including transformers and vector stores.
  • Strong communication and mentoring abilities with cross-organizational impact.

Mansioni

  • Define and drive a long-term AI/ML architectural vision aligned with Twilio’s business goals.
  • Own the strategic roadmap for ML/AI Ops platform and tooling across the organization.
  • Evaluate and implement modern LLM architectures, RAG systems, and inference optimization techniques.
  • Lead architecture for agentic AI systems including orchestration, reasoning, tool usage, and contextual grounding.
  • Stay current with advancements in LLMs, agent frameworks, and AI infrastructure.

Conoscenze

ML Ops
LLM Ops
Transformer models
Cloud services
Mentorship
Cross-functional collaboration
Communication

Formazione

Master’s or Ph.D. in Computer Science / ML / Data Science

Strumenti

AWS
GCP
Azure
LLM orchestration

Descrizione del lavoro

Twilio is seeking a Sr AI Architect - Conversation AI for a remote US-based role. You will shape Twilio’s AI capabilities across the data ecosystem and scale its customer-facing AI features such as conversational memory and enterprise knowledge.

You will define long-term technical vision, establish guardrails, and drive cross-organizational initiatives, balancing research with production-ready, compliant systems. This role blends leadership with hands‑on engineering and mentorship.

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