Knowledge Enablement Engineer: AI & Semantic Pilot Lead

Latent View Analytics Limited; San Jose (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

Intuit is seeking a Knowledge Enablement Engineer to evaluate, pilot, and scale data-facilitated capabilities that make data discoverable and usable for people and AI agents. You will drive end-to-end work from evaluation to adoption within Intuit's Global Business Solutions Group, shaping semantic definitions, data dictionaries, and usable surfaces across domains.

The role requires proactive, autonomous work, with a focus on semantic modeling, AI enablement, and scalable deployment, partnering

Qualifications

• Demonstrated depth building semantic layers, knowledge graphs, retrieval systems, or agent tooling.
• Experience with modern AI tooling and data-science workflows.
• SQL and Python proficiency for data science teams.
• Ability to collaborate across teams and stakeholders.

Responsibilities

• Evaluate existing tools for semantics, context, and knowledge graphs.
• Pilot the strongest option and integrate with the current semantic layer.
• Deliver a working pilot with a clear recommendation.
• Onboard domains and expand content coverage with best practices.

Skills

SQL

Python

Semantic layers

Knowledge graphs

Retrieval systems

Agent tooling

MetricFlow

Open Semantic Interchange

Tools

MetricFlow

Open Semantic Interchange

Job description

Intuit is seeking a Knowledge Enablement Engineer to evaluate, pilot, and scale data-facilitated capabilities that make data discoverable and usable for people and AI agents. You will drive end-to-end work from evaluation to adoption within Intuit's Global Business Solutions Group, shaping semantic definitions, data dictionaries, and usable surfaces across domains.

The role requires proactive, autonomous work, with a focus on semantic modeling, AI enablement, and scalable deployment, partnering