Senior AI Systems Engineer
Core
Building the foundational data and AI platform that powers the company's operations, including governed pipelines, a modeled data warehouse, and AI agent environments.
Role type
Senior IC AI Systems Engineer (Data & Infrastructure)
Builds
Governed data pipelines into Snowflake, a semantic data layer, AI agent landing zones, and automated IT systems (Okta, Jamf, etc.)
Domain
Cloud Infrastructure, Data Engineering, AI/LLM Operations, Identity Management
Deliverable
production ML models | product features | infrastructure
Required skills
Data engineering, Snowflake (RBAC, cost model, governance), dbt, orchestration (Dagster/Airflow/Prefect), Python, SQL, Go/Bash, IaC (Pulumi/CDK), AWS (Bedrock, IAM, EventBridge), LLM agents/RAG/tool-calling, SaaS integrations (REST/webhooks), IT automation (Okta/Jamf/Google Workspace)
Preferred skills
Streaming/event-driven data (Kafka/Kinesis), data observability, retrieval quality evaluation, SOC 2/ISO 27001 experience
Technologies
Snowflake, dbt, Dagster, Airflow, Prefect, Python, Go, Bash, Pulumi, CDK, CloudFormation, AWS, GCP, Azure, Okta, Jamf, Google Workspace, Jira, Ravenna, Claude Code, Cursor
Responsibilities
Design and build ingestion pipelines from SaaS and cloud billing sources; maintain the modeled warehouse and semantic layer; implement data quality monitoring and governance policies; develop AI landing zones and agent identity models; automate employee lifecycle and cloud perimeter security; optimize retrieval layers for AI agents.
Seniority
Senior, hands-on IC