Senior AI Data Platform Engineer - Own the AI Stack

Ridgeline; San Ramon (CA); On-site; USD 139,000 - 173,000; Full time

Benefits offered by this job

Unlimited vacation

Educational and wellness reimburse m

Zero-cost employee insurance plans

Job summary

You'll join at an inflection point to drive architecture, governance, and implementation—writing the future of Ridgeline's data strategy, while mentoring teammates and contributing to high-impact AI capabilities.

Qualifications

• 10+ years of senior-level engineering experience with end-to-end ownership.
• Experience designing and scaling distributed systems and handling data at scale.
• Hands-on experience building secure API integrations and MCPs.
• Real AI fluency and practical use of AI in development workflow.
• Cloud engineering fundamentals (AWS) with IaC and production-grade Python.

Responsibilities

• Build the platform powering AI-driven decisions and secure MCPs and API integrations.
• Shape the data strategy and own data storage, persistence, and connectivity decisions.
• Advance the AI platform with model provider gateways, RAG pipelines, and vector DB work.
• Raise the technical bar by mentoring peers and setting high standards as the team scales.

Skills

Senior-level ownership

Distributed systems design

Secure API integrations

AI fluency

Cloud engineering (AWS)

Infrastructure as code

Production-quality Python

Tools

Snowflake

Vector databases (Pinecone, Weaviate, pgvector)

Model provider gateways

OAuth 2.0 / SSO

Job description

You'll join at an inflection point to drive architecture, governance, and implementation—writing the future of Ridgeline's data strategy, while mentoring teammates and contributing to high-impact AI capabilities.