Senior AI Platform Engineer

Job description

Role: Senior AI / Platform Engineer Experience: 6–10 years overall, with recent hands-on GenAI / agent platform experience. Purpose Own deeper technical diagnosis and help establish a repeatable maintenance model for Snowflake-based AI applications and agents. Responsibilities • Understand the architecture of ~25 AI applications moving into production and identify common operating patterns. • Diagnose complex production issues across agents, prompts, tools, APIs, data pipelines and integrations. • Work with the existing observability platform to trace failures and identify root causes. • Define deployment, monitoring, escalation and remediation patterns across applications. • Support bug fixes, production changes and more complex engineering issues. • Work closely with the architecture team and help distinguish application-specific fixes from platform-level improvements. • Help identify reusable agent lifecycle, monitoring and operational components as the estate grows. Core Skills • Strong Snowflake experience, ideally including Cortex AI / Cortex Agents / Cortex Search / Snowpark. • Python, SQL and APIs. • Hands-on experience building or supporting LLM/agent applications. • Agent frameworks such as LangGraph, LangChain or similar. • Production deployment, CI/CD and release management. • LLM/AI observability and evaluation concepts; Langfuse, LangSmith, Ragas or similar is useful. • Experience diagnosing distributed application failures, logs, traces and integrations.