Director, Automation Engineering

Technical Leadership:

• Lead the design, development, and delivery of AI agents and automation workflows using Snowflake Cortex, LangChain, LangGraph, or comparable frameworks.
• Establish reusable tools, APIs, libraries, and components that enable engineers to build and extend agentic workflows efficiently.
• Guide retrieval-augmented generation, context management, prompt engineering, tool-use, validation, and human-in-the-loop patterns to improve AI reliability and cost efficiency.

Software Development:

• Oversee the development and maintenance of production-grade Python applications, libraries, and services, championing modular architecture, automated testing, CI/CD, code reviews, and observability.
• Develop reusable software patterns that reduce bespoke engineering effort and enable consistent solutions across partner engagements.
• Lead the development of reusable Python libraries supporting data clean room capabilities and audience and measurement workflows.

Team and Culture:

• Hire, develop, mentor, and retain a high-performing team of software and AI engineers while establishing standards for agentic systems and production automation.
• Promote a culture centered on reliability, maintainability, technical excellence, operational discipline, and continuous improvement.
• Provide technical direction while balancing innovation with production reliability, security, maintainability, and business priorities.