Senior AI Systems Engineer (GenAI, MLOps)

SLAC; Redwood City (CA); Hybrid; USD 170,000 - 195,000; Full time

Job summary

Stanford University’s Enterprise Technology team seeks an experienced AI/GenAI engineer to design, implement, and support AI-driven solutions across university use cases. You will prototype, productionize, and mentor while coordinating with project managers and architects.

The role blends hands-on engineering with leadership, delivering proofs of concept and driving secure, scalable AI pipelines and tools across multiple enterprise applications.

Qualifications

• Bachelor's degree and eight years relevant experience or equivalent.
• Experience delivering AI/ML projects in production with operator support.
• Strong understanding of AI/ML concepts and translating requirements into production systems.

Responsibilities

• Translate requirements into well-engineered AI pipelines and components.
• Develop LLM-based agents and services calling enterprise tools via approved APIs.
• Configure RAG workflows and integrate with search/vector infrastructure.
• Follow CI/CD, testing, and observability practices across the SDLC.

Skills

Agent/Agentic Framework Experience

Delivery in AI/ML projects

Python

Java

Node.js/Next.js/React/TypeScript

Cloud AI stacks

Data design

SDLC

Communication

Education

Bachelor's degree + 8 years experience

Tools

LangChain

LangGraph

OpenAI

Job description

Stanford University’s Enterprise Technology team seeks an experienced AI/GenAI engineer to design, implement, and support AI-driven solutions across university use cases. You will prototype, productionize, and mentor while coordinating with project managers and architects.

The role blends hands-on engineering with leadership, delivering proofs of concept and driving secure, scalable AI pipelines and tools across multiple enterprise applications.