The opportunity
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
What you'll do
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.
What they're looking for
- 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.
- + 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.
- 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.
