Staff Data Scientist: Personalization & AI Architect

Jobtailor; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor is seeking a Senior Staff ML Architect to own the semantic and intelligence architecture for profile data across member, customer, and provider domains. You will guide platform-level data contracts, leverage AI to validate architectural choices, and design AI-augmented workflows including automated code generation and incident analysis.

You will lead cross-team initiatives, mentor engineers, and drive architectural improvements to support real-time inference serving on AWS with safety

Qualifications

• 8+ years of experience building production ML/AI systems, inference microservices, and real-time data pipelines.
• Advanced degree in Computer Science or Machine Learning.
• Hands-on experience with Snowflake and OpenSearch for profile data/vector search.
• Experience with LLM orchestration and LangGraph/LangSmith.
• Proven staff-level track record operating in ambiguous environments and guiding stakeholders.

Responsibilities

• Own the team’s semantic and intelligence architecture for member, customer, and provider profile data.
• Provide system-wide design guidance and robust data contracts across platform teams.
• Use AI to explore and validate architectural patterns and decisions.
• Design AI-augmented workflows such as automated code generation and incident analysis.
• Lead large-scale initiatives to reduce technical debt and meet latency/scalability targets for production AI systems.

Skills

Production ML/AI

Real-Time Data Pipelines

LLM Orchestration

Technical Leadership

Mentoring Engineers

Education

MS/PhD in Computer Science

MS/PhD in Machine Learning

Tools

AWS

Snowflake

OpenSearch

LangGraph

LangSmith

Job description

Jobtailor is seeking a Senior Staff ML Architect to own the semantic and intelligence architecture for profile data across member, customer, and provider domains. You will guide platform-level data contracts, leverage AI to validate architectural choices, and design AI-augmented workflows including automated code generation and incident analysis.

You will lead cross-team initiatives, mentor engineers, and drive architectural improvements to support real-time inference serving on AWS with safety