Hiring: Sr AI Architect - Conversational AI Company: Twilio Location: United States Job Posted Time: 2026-09-10 11:22:40 Employment Type: Remote Target Skills & Keywords : AI, AWS, Azure, GCP, LLM, Machine Learning, Product Management, RAG, Twilio About the job Experience: •15+ years of experience in software engineering, with at least 6+ years specifically focused on building and scaling production-grade ML systems at a platform level. Required Skills: •Define and drive a long-term AI/ML architectural vision that aligns with Twilio’s business goals, specifically focusing on how data and memory power the next generation of 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 seamlessly from high-level strategic communication with executives to deep-dive code reviews and pair programming with engineers. •Partner closely with Product Management to turn a roadmap into a sequence of technical milestones, ensuring that technical investments always map to customer value. •Have a 'player-coach' mentality, and contribute hands-on technical expertise while providing strategic direction and mentorship to the team. Qualifications: •Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! •Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics, automated retraining loops, and monitoring for non-deterministic AI features at scale. •Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including deep knowledge of transformer models, LLM orchestration, embedding models, inference optimization and vector stores. •Comprehensive expertise in the Context Engineering lifecycle, including semantic retrieval, contextual compression, state management across multi-turn conversations. •Strong background in building cloud-based services using AWS, GCP, or Azure, with experience managing high-volume data and various data stores. •Exceptional communication and collaboration skills, with a proven ability to mentor engineers, influence company wide technical strategy, product direction, and drive results across the company. •A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, or a closely related quantitative field. •A track record of relevant publications at top ML conferences or significant open-source contributions. •Track record of designing and implementing enterprise-scale ML/AI Ops platforms •This role will be remote and based in the United States. Compensation: •$275,840 - $344,800 / year •This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!