Senior AI Data Platform Architect

Ridgeline

Reno (NV)

On-site

USD 139,000 - 173,000

Full time

7 days ago
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Benefits offered by this job

Unlimited vacation
Educational and wellness reimbursemen
Company stock plan

Job summary

Ridgeline is seeking a Senior Staff AI Infrastructure Engineer in the United States (San Ramon, CA or Reno, NV). You will build the platform powering AI-driven decisions, design secure MCPs and API integrations, and advance the AI platform with MCPs, RAG pipelines, and vector databases.

You’ll mentor peers and help set high technical standards in a fast-moving, collaborative team. You will work in a hands-on role with ownership of critical data plumbing, security considerations, and modern data

Qualifications

  • 10+ years of senior-level engineering experience.
  • Experience designing and scaling distributed systems.
  • Hands-on experience building secure API integrations, MCPs and related security patterns.
  • Real AI fluency and hands-on AI tooling experience.
  • Cloud engineering fundamentals (AWS) and IaC (Terraform).
  • Production-quality coding in Python or similar language.

Responsibilities

  • Build secure MCPs and API integrations connecting Ridgeline's data sources to business capabilities.
  • Own architecture behind secure integrations and AI platform components.
  • Contribute to MCPs, RAG pipelines, and vector database implementations.
  • Mentor peers and raise technical standards as the team scales.

Skills

Senior-level engineer
Distributed systems
API integration
AI fluency
Cloud fundamentals
Python coding
Team collaboration
Security best practices

Tools

AWS
Terraform
Python
Snowflake
Vector databases

Job description

Ridgeline is seeking a Senior Staff AI Infrastructure Engineer in the United States (San Ramon, CA or Reno, NV). You will build the platform powering AI-driven decisions, design secure MCPs and API integrations, and advance the AI platform with MCPs, RAG pipelines, and vector databases.

You’ll mentor peers and help set high technical standards in a fast-moving, collaborative team. You will work in a hands-on role with ownership of critical data plumbing, security considerations, and modern data

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