Senior AI/ML Architect, Data Graph & LLMs

ZoomInfo Technologies LLC; Boston (MA); Remote; USD 193,000 - 303,000; Full time

Job summary

ZoomInfo Technologies LLC is seeking a senior AI/ML architect to set the technical direction for the data graph, entity resolution, buying intent, and agent context. You will frame and ship novel problems at web scale while defining standards that guide multiple teams.

You will be hands-on with Python and SQL, design evaluation criteria, and influence how we measure success across models and deployments, including cost considerations and system efficiency.

Qualifications

• Led technical direction as an IC for a multi-team problem area with production ML systems.
• Breadth across ML on large, messy tabular data, statistics, language processing at scale, and LLMs.
• Defined adoption of evaluation standards beyond your own team for systems with no single right answer, including LLM judges validated against human labels.
• Changed how a group builds or measures by introducing a baseline or review practice used by others.
• Made cost and capacity decisions for model training and serving, including self-host vs hosted options.
• Hands-on in production Python and SQL with distributed data processing; use AI coding tools daily.

Responsibilities

• Set technical strategy for the data graph, entity resolution, buying intent, and agent context.
• Frame and ship problems at web scale and decide what not to build.
• Define evaluation standards and release gates.
• Define data contracts between the data graph, signals, and agents.
• Turn good choices into defaults and metrics across the group.
• Lead design reviews, mentor engineers, shape hiring, and represent the team’s technical judgment to product and leadership.

Skills

Technical direction

ML on large tabular data

Evaluation standards

Process improvements

Cost & capacity decisions

Python

SQL

AI coding tools

Tools

PyTorch

GPU capacity planning

Job description

ZoomInfo Technologies LLC is seeking a senior AI/ML architect to set the technical direction for the data graph, entity resolution, buying intent, and agent context. You will frame and ship novel problems at web scale while defining standards that guide multiple teams.

You will be hands-on with Python and SQL, design evaluation criteria, and influence how we measure success across models and deployments, including cost considerations and system efficiency.