Senior Forward Deployed AI Engineer (Contractor)

Join our team as a Senior Forward-Deployed AI Engineer, where you'll design and build AI and GenAI systems that power our platform on Snowflake. This role requires hands-on expertise in Snowflake and prior experience working directly in client environments. Your initial focus will be on configuring the Snowflake semantic layer and delivering metrics and reporting for clients. As the role evolves, you'll expand into agentic AI work. You'll serve as the senior-most AI technical voice on client engagements, shape the technical direction and roadmap for AI components, and collaborate with cross-functional teams.

- Design and build AI and GenAI/agentic systems that power the platform on Snowflake, and carry that work directly into client environments. - Configure the Snowflake semantic layer and deliver metrics and reporting off of it for clients, and expand into agentic AI work as the foundation matures. - Serve as the senior-most AI technical voice on client engagements, helping shape technical direction and roadmap for AI components.

- Candidates should bring demonstrated experience doing this kind of work already, not only an interest in doing it - Demonstrated ability to operate as the senior technical voice on ambiguous problems, with sound judgment on AI technical direction, without needing close direction - Comfort operating with a degree of ambiguity typical of client environments, and sound judgment on when to escalate versus resolve independently - Demonstrated experience designing and building GenAI/agentic systems: RAG, MCP-based tooling, agent orchestration patterns, and evaluation harnesses - Experience delivering metrics and reporting off of a semantic layer for clients, including validating outputs against business logic - Deep, hands-on experience with Snowflake, including Snowpark, Snowflake Cortex, and Snowflake ML - Strong communication skills, with demonstrated ability to translate technical tradeoffs for non-technical, client-facing audiences - A proven track record working directly with external clients or customers in an implementation, forward-deployed, or professional-services capacity, with specific engagements you personally owned, not only internal engineering experience - 8+ years of software/AI engineering experience, including hands-on design of AI/ML systems - Hands-on experience building and maintaining semantic layers on Snowflake (e.g. Cortex Analyst semantic views), including modeling business logic and metrics for AI/agent consumption - Strong Python engineering skills, including API design and delivery of production AI/ML pipelines - Hands-on experience with Databricks, including Unity Catalog, Delta Lake, and MLflow - Healthcare payer or provider claims data experience - Experience with classical ML and with model fine-tuning - Relevant certifications (e.g. SnowPro)