GenAI Gemini Enterprise Engineer (Google Cloud)

Nelnet, Inc.

Lincoln (NE)

Hybrid

USD 130,000 - 150,000

Full time

3 days ago
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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.

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