Staff Data Scientist – Personalization, Intelligence

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

• Own the team’s semantic and intelligence architecture for member, customer, and provider profile data
• Provide system-wide design guidance and ensure 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
• Enable personalized decisioning systems, agentic workflows, and real-time inference serving on AWS
• Establish guardrails for safe, compliant, and correct LLM-based AI usage
• Influence large cross-team projects and remove execution barriers
• Create strategies and objectives for the core intelligence and recommendation engine
• Build relationships with cross-functional teams and business stakeholders and make short- and long-term tradeoffs
• Mentor and develop data scientists and engineers across the organization on DS/ML best practices
• Participate in an on-call rotation and improve preparation and planning to reduce production incidents
• Lead large-scale initiatives to reduce technical debt, improve architecture, and meet latency and scalability targets for production AI systems

Requirements

• 8+ years of experience building production ML/AI systems, inference microservices, and real-time data pipelines
• Hands-on experience with Snowflake and OpenSearch for profile data/vector search
• Experience with LLM orchestration, including LangGraph and LangSmith
• Proven Staff-level track record operating effectively in highly ambiguous territories, investigating emerging technologies, and aligning diverse stakeholders around a clear technical strategy
• Demonstrated ability to mentor and develop engineers across the organization
• Ability to cover broad technology areas while diving deep into architectural complexity and scalability for data flows, model pipelines, inference endpoints, and endpoint management
• Track record of technical leadership, creating clarity from ambiguity, defining strategy from vision, and driving organization-wide architectural improvements
• Advanced degree (MS/PhD) in Computer Science, Machine Learning, or a related field

Core Competencies

Expertise in building production ML/AI systems and real-time data pipelines, with a strong focus on architectural complexity and scalability. Proven ability to mentor teams and influence cross-functional projects while ensuring compliance and safety in AI usage.

Highest-signal resume keywords

• Production ML/AI Systems Development
• Real-Time Data Pipelines
• LLM Orchestration
• Technical Leadership
• Mentoring Data Scientists and Engineers

Hard Skills

• Machine Learning
• Artificial Intelligence
• Data Pipeline Development
• Architectural Design
• Inference Microservices
• Automated Code Generation
• Incident Analysis
• Scalability Optimization
• Data Contracts
• Technical Debt Reduction

Soft Skills

• Cross-Functional Collaboration
• Stakeholder Alignment
• Strategic Thinking
• Problem Solving
• Mentorship

Certifications & Qualifications

• Advanced Degree in Computer Science
• Advanced Degree in Machine Learning

Industry Keywords

• AI-Augmented Workflows
• Real-Time Inference Serving
• Data Science Best Practices
• Profile Data Management
• Recommendation Engine

Tools & Technologies

• AWS
• Snowflake
• OpenSearch
• LangGraph
• LangSmith