About the role
Develop AI agent infrastructure and systems for safe data connection and deployment.
- •This is a foundational role on the AI Acceleration team, shaping systems for AI agent creation, data connection, and safe deployment.
- •You will create infrastructure and patterns for AI-driven workflows, focusing initially on analytics automation.
- •Key Responsibilities Build the AI Agent Factory with shared patterns and infrastructure.
- •Develop systems to connect LLMs to structured data safely.
- •Integrate with semantic layers for consistent business definitions.
- •Create evaluation and observability frameworks for AI systems.
- •Implement guardrails to reduce risk and prevent data misuse.
- •Requirements 6+ years in data engineering, ML engineering, AI infrastructure, or platform engineering.
- •Hands-on experience building LLM-powered applications in production.
- •Experience connecting LLMs to structured data safely and reliably.
Tech stack
PythonAirflowdbtSnowflakeKubernetes
Match insights
Tech:Python, Airflow, dbt, Snowflake, Kubernetes
Level:Lead