Define and drive technical strategy and architecture for Ridgeline's AI platform and shared AI capabilities across the company.

Lead technical decisions that enable engineering teams across the firm to use AI platform capabilities in scalable, reliable, secure, and responsible ways.

Identify and resolve systemic technical obstacles that limit the availability, usability, extensibility, or reliability of the AI platform, including proactively engaging teams building one-off AI solutions to bring them onto the shared platform.

Establish engineering standards and architectural approaches that help teams make sound decisions as AI technologies and capabilities evolve, including reliability and evaluation standards for AI models in production.

Partner across Engineering, Product, Data, and other functions to connect AI platform investments to company priorities and customer outcomes, adapting your working style to collaborate with diverse engineering squads.

Architect solutions for integrating external data via retrieval-augmented generation, including connections to third-party data stores, and build systems for token-efficient AI usage such as model routing and code execution.

Propose and evaluate new AI features to advance the platform's capabilities, and resolve technical debates to align teams around the right approach.

15+ years of software engineering experience, with deep expertise in systems architecture.

Significant experience building and shipping an AI-powered product in production, including agentic loop design, structured responses, tool calling, Model Context Protocol (MCP), and retrieval-augmented generation (RAG).

Principal Engineer, AI Platform

Responsibilities

Qualification

Required

Benefits

Company

Ridgeline

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