Staff AI Solutions Engineer

Experience in a customer-facing technical role (Solutions Engineer / Sales Engineer / Implementation Engineer) at a data/AI/infra company (e.g., Snowflake, Databricks, similar). Deep, practical prompt engineering expertise (few/zero-shot design, tool/function calling, structured outputs, agents, retrieval). Experience building agentic workflows with LLM providers (OpenAI/Anthropic/Azure). Strong software engineering fundamentals; fluent in Python and/or TypeScript, REST/GraphQL APIs, and SQL. Comfort creating evaluation pipelines, A/B tests, and analytics to measure quality, safety, and cost. Excellent client communication—able to translate messy SOPs into deterministic workflows and drive to outcomes on tight timelines.

Own prompt engineering & agent workflow design (tool/function calling, structured outputs, guardrails). Translate client SOPs into production workflows; ensuring we account for the specific nuances of each client. Operate and iterate with real client data to launch; troubleshoot and resolve issues quickly. Back-test new changes to existing data to ensure nothing breaks. Act as the technical escalation point for 6–8 concurrent customers; enable clients and our Agent Analysts on best practices. Instrument and report performance, create reusable templates/runbooks, and feed product requirements to Engineering.