Sr AI Architect - Conversational AI
$275,840–$344,800 year
RemoteUnited States
Job Summary
Define and drive a long-term AI/ML architectural vision leveraging Twilio's massive data ecosystem to power customer-facing capabilities like Conversational Memory and Behavioral Data Intelligence. Own the strategic roadmap for the company-wide ML/AI Ops foundation, establishing guardrails for responsible AI principles and transitioning cutting-edge research into resilient, compliant production systems. Lead architecture for agentic AI systems, including orchestration, reasoning, and contextual grounding, while evaluating modern LLM architectures and inference optimization techniques. Transition seamlessly from executive communication to deep-dive code reviews and pair programming, partnering with Product Management to map technical investments to customer value. Serve as the guiding authority for Architects, mentoring engineers and elevating technical standards across the organization.
Required Qualifications
- 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
- 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
- Deep understanding of 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
- approximately 5% travel
Desired Qualifications
- A track record of relevant publications at top ML conferences or significant open-source contributions
- Experience designing evaluation frameworks that specifically measure context quality
- Track record of designing and implementing enterprise-scale ML/AI Ops platforms
- Experience working in a geographically distributed environment
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.