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About the Role:
- This position is critical to leveraging Twilio's massive data ecosystem and communication scale to build customer-facing AI capabilities like Conversational Memory and Enterprise Knowledge.
- As a Sr. AI Architect, you will set the long-term technical vision, establish architectural guardrails, and ensure adherence to responsible AI principles.
- You will drive cross-organizational initiatives and transition AI/ML concepts from research to resilient production systems.
Responsibilities:
- Define and drive a long-term AI/ML architectural vision aligned with business goals, focusing on data and memory for customer engagement.
- Own the strategic roadmap for ML/AI Ops platform and tooling, ensuring a unified approach across all capabilities.
- Evaluate and implement modern LLM architectures, RAG systems, MCP/tooling frameworks, and inference optimization techniques.
Qualifications:
- 15+ years in software engineering with 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 evaluation metrics, automated retraining, and monitoring for AI features.
- Deep expertise in design and deployment of production-grade ML/AI systems, including transformer models, LLM orchestration, and vector stores.
Twilio
Twilio delivers innovative communication solutions to hundreds of thousands of businesses, empowering millions of developers worldwide to craft personalized customer experiences. The company is remote-first with a strong culture of connection and global inclusion, fostering a diverse team.