Enterprise GenAI Engineer — LLMs, RAG & MLOps

Summary by AIEngineer.careers

Enterprise GenAI Engineer — LLMs, RAG & MLOps is a Generative AI Engineer role (full-time). with Stanford University. in PALO ALTO, US. Imported listing (source: computerwork.com). Apply on the employer's site (computerwork.com).

Imported listing (source: computerwork.com) · Apply on computerwork.com

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PALO ALTO · US

—

Full-time

SENIOR

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Imported job description

Sourced from computerwork.com

Stanford University's Enterprise Technology team is hiring an experienced GenAI engineer to design, implement, and support AI solutions across university use cases. The role blends hands-on engineering with mentorship and thought leadership, influencing requirements, architecture, and workflows for AI-driven information systems. You will prototype and productionize solutions, present proofs of concept, and lead AI tracks while partnering with project managers, security, and application teams.

Responsibilities

Design, implement, and support GenAI solutions across university use cases
Influence requirements, architecture, and workflows for AI-driven information systems
Prototype and productionize LLM and RAG-based solutions
Present proofs of concept and lead AI tracks
Partner with project managers, security, and application teams

Requirements

Experience engineering AI/GenAI solutions
Hands-on experience with LLMs and RAG
Familiarity with MLOps practices
Ability to influence architecture and requirements
Strong collaboration and communication skills

Nice to Have

Experience with ServiceNow or enterprise platforms
Prior mentorship or technical leadership experience

Tech Stack

LLMsMLOpsRAGServiceNow

Stanford University

Palo Alto · US · 28897+ employees

Stanford University is a private research university founded in 1885 in Stanford, California, with a mission of research and education. Its main campus hosts seven schools, interdisciplinary research institutes, and world-class medical care, with more than 7,200 undergraduate and 10,000 graduate students and 2,402 faculty including 20 Nobel laureates.