Staff AI Data Platform Engineer
San Ramon, CA or Reno, NV
The Opportunity
Ridgeline is building the connective tissue that will power the next generation of its data and AI strategy — and we're looking for a senior engineer to help build it. This isn't a governance role, and it isn't a support function. It's hands-on engineering with real, visible business impact: the systems you build will directly enable how Ridgeline stores, connects, and activates its data across the business.
You'll join a team at an inflection point. What started as a connectivity-focused function is being asked to own something much bigger — the architecture behind secure integrations, Model Context Protocols (MCPs), API gateways, and the AI platform (RAG pipelines, vector databases, model provider gateways) that will define how Ridgeline uses AI responsibly and effectively. You won't be maintaining someone else's roadmap. You'll be helping write it.
Your Impact
- Build the platform that powers AI-driven decisions. Design and ship secure MCPs and API integrations that connect Ridgeline's data sources to the business capabilities that depend on them.
- Shape a strategy, not just a system. Help move the team from "we connect things" to "we own how data is stored, persisted, and connected" — a shift that puts you at the center of Ridgeline's broader data strategy.
- Push the AI platform forward. Contribute to model provider gateways, RAG pipelines, and vector database implementations that keep Ridgeline ahead of the curve in its industry.
- Raise the bar. This is an uplevel hire — you'll be expected to bring senior judgment, mentor peers, and help set a higher technical standard for the team as it scales.
What Success Looks Like
- First 30 days: You're ramped on the tech stack, the team's ways of working, and the systems you'll be building on.
- First 90 days: You're operating like an owner — driving your own projects to completion with minimal handholding, and showing you can adapt quickly to a fast-moving environment.
- Ongoing: You're a visible contributor to the team's AI-forward capabilities, a strong collaborator across a matrixed org, and someone peers point to as making the team better.
What You'll Need
- 7+ years of senior-level engineering experience, with a track record of owning problems end-to-end — from identifying the issue to proposing and driving the solution.
- Experience designing and scaling distributed systems — you understand the tradeoffs of consistency, availability, and performance at scale, not just how to stand up a service.