Director, Automation Engineering

This is a fully remote position, open to applicants in New York.

📋 Description

• Spearhead the design and implementation of internal AI agents and automation workflows utilizing frameworks such as Snowflake Cortex, LangChain, LangGraph, or similar technologies.

• Create reusable tools, APIs, and components for agentic workflows.

• Oversee retrieval-augmented generation workflows, context management strategies, and prompt patterns.

• Develop evaluation harnesses, regression tests, monitoring patterns, and reliability metrics for AI agents.

• Set guidelines and validation frameworks to minimize hallucinations, unsafe outputs, and unreliable automation.

• Collaborate with engineering and operations teams to transition AI workflows from prototypes to production.

• Manage production-grade Python applications, libraries, and services.

• Advocate for object-oriented design, modular design, automated testing, CI/CD, code reviews, observability, and thorough documentation.

• Propel reusable engineering patterns and scalable technical solutions in conjunction with product, engineering, operations, and data platform teams.

• Lead the development of reusable Python libraries catering to clean room audience workflows and measurement use cases.

• Transform analytical and data collaboration workflows into repeatable, self-service components.

• Facilitate configurable feature deployment across partner organizations.

• Recruit, develop, and retain a high-performing software and AI engineering team.

• Guide engineers through code reviews, technical design discussions, and operational best practices.

• Set engineering standards for AI-assisted workflows, agentic system design, reusable libraries, and production automation.

• Foster reliability, maintainability, and ongoing improvement.

⛳️ Requirements

• A Bachelor’s degree or equivalent practical experience in Computer Science, Information Systems, Software Engineering, Electrical Engineering, Electronics Engineering, or a related technical discipline.

• 8+ years of experience in software engineering.

• Proven experience in leading and mentoring engineering teams.

• Extensive hands-on experience in building production-grade software using Python, including libraries, services, testing, CI/CD, and code reviews.

• Practical experience in developing applications utilizing LLMs, RAG, vector databases, prompt engineering, Snowflake Cortex, LangChain, LangGraph, or similar tools.

• Experience in designing AI-enabled workflows, reasoning agents, tool-using agents, or complex automation systems.

• 5+ years of hands-on experience with cloud data platforms such as Snowflake, Databricks, or similar technologies.

• Strong comprehension of production system design, including observability, reliability, scalability, performance tuning, and operational support.

• Familiarity with data clean room concepts or platforms like Snowflake Clean Rooms, Databricks Clean Rooms, and LiveRamp/Habu.

• Background in advertising technology, audience activation, campaign delivery, reach and frequency, attribution, incrementality, or reporting workflows.

• Preferred certifications include Snowflake SnowPro Core Certification, Databricks Certified Data Engineer Associate, or similar cloud/data platform certifications.

• External candidates may need to participate in an in-person interview at an NBCUniversal location prior to a hiring decision.

🏝️ Benefits

• Medical, dental, and vision insurance.

• 401(k) plan.

• Paid leave.

• Tuition reimbursement.

• A variety of additional discounts and perks.

• Eligibility for bonuses.

• Eligibility for long-term incentives.

• Fully remote work arrangement.