Enterprise AI Enablement Engineer

Everpure; Santa Clara (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Flexible time off

Wellness resources

Company-sponsored team events

Job summary

Everpure, a data platform leader, seeks an AI Enablement Engineer to drive generative AI from experiments to enterprise-scale impact. You will partner with Finance, HR, Legal, and GTM/CX to design, integrate, and deploy AI capabilities within enterprise systems, aligned with the Enterprise Architecture team.

Based in Santa Clara, you will lead technically and collaborate across teams to scale copilots, implement guardrails, and ensure secure, compliant AI across the organization.

Qualifications

• Proven experience designing, delivering, and supporting AI applications in enterprise production.
• Strong mastery of modern AI engineering patterns including RAG and agentic workflows.
• Hands-on experience integrating cloud-based foundation models with enterprise SaaS/ERP.

Responsibilities

• Operationalize AI into Production: move AI from prototypes to secure, enterprise-ready services.
• Establish Emergent Architectural Standards with engineering teams, creating guidelines and guardrails for copilots and workflows.
• Integrate & Scale the AI Ecosystem by connecting frontier models/tools with Everpure's systems.
• Implement Resilient AI Governance with evaluation, prompt optimization, and monitoring frameworks.

Skills

Production AI Engineering

Generative AI & LLM Systems Fluency

Enterprise Platform & Systems Integ.

Cross-Functional Technical Leadership

In-office Santa Clara location

Tools

Claude

Gemini

Glean

AWS Bedrock

ERP integration

Job description

Everpure, a data platform leader, seeks an AI Enablement Engineer to drive generative AI from experiments to enterprise-scale impact. You will partner with Finance, HR, Legal, and GTM/CX to design, integrate, and deploy AI capabilities within enterprise systems, aligned with the Enterprise Architecture team.

Based in Santa Clara, you will lead technically and collaborate across teams to scale copilots, implement guardrails, and ensure secure, compliant AI across the organization.