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Senior Staff AI Data Platform Engineer

Ridgeline· IT
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Hybrid (San Ramon, CA), Hybrid (Reno, NV)$138.5k - $173kFull-timePosted 2mo ago

About the role

Senior Staff AI Infrastructure Engineer responsible for building secure integrations, MCPs, API gateways, and the AI platform (RAG pipelines, vector databases, model provider gateways) to enable Ridgeline's data strategy and AI-driven decisions.

Responsibilities

  • 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.

Qualifications

  • 10+ 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 — understanding tradeoffs of consistency, availability, and performance at scale.
  • Hands-on experience building secure API integrations, with depth to extend to MCPs and related security considerations (OAuth 2.0 and SSO).
  • Real AI fluency, personally and professionally — experience with AI tooling and a demonstrable AI journey.
  • Comfort with modern data platforms beyond standard relational databases (Snowflake, vector databases such as Pinecone, Weaviate, pgvector).
  • Familiarity with data lineage, access control, and data quality practices in regulated environments.
  • Collaborative, no-ego mindset and strong teamwork.
  • Cloud engineering fundamentals (AWS), infrastructure-as-code (Terraform or similar), and production-quality Python (or equivalent) programming.

Skills

Required:API integration designDistributed systems designSecurity and authenticationAI fluency

Benefits

  • Unlimited vacation
  • Educational and wellness reimbursements
  • $0 cost employee insurance plans
  • Stock options via Company Stock Plan
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Ridgeline

Revolutionizing Investment Management

Ridgeline: Revolutionizing Investment Management with a single front-to-back system of record, embedded AI, and automation capabilities.

Investment ManagementAIAutomationPortfolio ManagementTradingComplianceData
Company profileWebsite

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