GenAI Gemini Enterprise Engineer (Google Cloud)

Nelnet, Inc.; Lincoln (NE); Hybrid; USD 130,000 - 150,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

HSA/FSA

Generous PTO

401K

Student loan repayment

Life insurance

AD&D

Employee assistance program

Stock purchase program

Tuition reimbursement

Disability insurance

Wellness program

Job summary

Nelnet, Inc. seeks an Enterprise Engineer to own the technical build and deployment of GenAI solutions on Google Cloud, focusing on the Gemini Enterprise Agent Platform. Translate backlog items into working agentic solutions, develop RAG pipelines, and ensure delivery quality.

The role collaborates with Data and AgentOps teams to build scalable integrations with client systems, maintain architecture docs, and deliver production-grade deployments for higher education and related clients.

Qualifications

• Hands-on experience building GenAI/agentic AI solutions in production.
• Direct experience with Gemini Enterprise Agent Platform or Vertex AI preferred.
• Familiarity with RAG pipelines, grounding, and multi-agent patterns.

Responsibilities

• Design, build, and deploy agentic assistants and GenAI apps on Gemini Enterprise Platform.
• Implement RAG pipelines and grounding using platform capabilities.
• Build API/tool-calling integrations with client systems (SIS/ERP).

Skills

GenAI/agentic AI

LLM-based assistants

RAG pipelines

Multi-agent orchestration

Prompt engineering

Model grounding

Python / SDKs

Evaluation harnesses

Backlog translation

Cloud data / IAM

Tools

Gemini Enterprise Agent Platform

Vertex AI

BigQuery

Snowflake

Cloud Run / GKE

IAM

Job description

Nelnet, Inc. seeks an Enterprise Engineer to own the technical build and deployment of GenAI solutions on Google Cloud, focusing on the Gemini Enterprise Agent Platform. Translate backlog items into working agentic solutions, develop RAG pipelines, and ensure delivery quality.

The role collaborates with Data and AgentOps teams to build scalable integrations with client systems, maintain architecture docs, and deliver production-grade deployments for higher education and related clients.