Director, Automation Engineering

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $165k - $210k / year

⏰ Full Time

🔴 Lead

🤖 QA Automation Engineer

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NBCUniversal

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2004

📱 Media

Media • Entertainment

NBCUniversal is a leading global media and entertainment company known for creating and distributing content across a variety of platforms. With over 100 years of experience, it is a part of Comcast and encompasses brands like Peacock, NBC Sports, and many others to educate, entertain, and empower audiences around the world. The company is involved in television broadcasting, film production, and theme parks, and is also recognized for its initiatives in technology and corporate social responsibility. NBCUniversal is committed to innovation and social impact, making it a vibrant workplace for media and tech professionals.

📋 Description

• Lead the design and delivery of internal AI agents and automation workflows using Snowflake Cortex, LangChain, LangGraph, or similar frameworks • Develop reusable tools, APIs, and components for agentic workflows • Direct retrieval-augmented generation workflows, context management strategies, and prompt patterns • Establish evaluation harnesses, regression tests, monitoring patterns, and reliability metrics for AI agents • Set guardrails and validation patterns to reduce hallucinations, unsafe outputs, and unreliable automation • Partner with engineering and operations teams to move AI workflows from prototype to production • Oversee production-grade Python applications, libraries, and services • Champion object-oriented design, modular design, automated testing, CI/CD, code reviews, observability, and documentation • Drive reusable engineering patterns and scalable technical solutions with product, engineering, operations, and data platform teams • Lead reusable Python libraries for clean room audience workflows and measurement use cases • Abstract analytical and data collaboration workflows into repeatable, self-service components • Enable configurable feature deployment across partners • Hire, develop, and retain a high-performing software and AI engineering team • Mentor engineers through code reviews, technical design discussions, and operational best practices • Establish engineering standards for AI-assisted workflows, agentic system design, reusable libraries, and production automation • Promote reliability, maintainability, and continuous improvement

🎯 Requirements

• Bachelor's degree or equivalent practical experience in Computer Science, Information Systems, Software Engineering, Electrical Engineering, Electronics Engineering, or a related technical field • 8+ years of software engineering experience • Experience leading and mentoring engineering teams • Deep hands-on experience building production-grade software using Python, including libraries, services, testing, CI/CD, and code reviews • Hands-on experience building applications using LLMs, RAG, vector databases, prompt engineering, Snowflake Cortex, LangChain, LangGraph, or similar tools • Experience 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 understanding of production system design, including observability, reliability, scalability, performance tuning, and operational support • Exposure to data clean room concepts or platforms such as Snowflake Clean Rooms, Databricks Clean Rooms, and LiveRamp/Habu • Experience with advertising technology, audience activation, campaign delivery, reach and frequency, attribution, incrementality, or reporting workflows • Snowflake SnowPro Core Certification, Databricks Certified Data Engineer Associate, or similar cloud/data platform certification preferred • External candidates may be required to attend an in-person interview at an NBCUniversal location before a hiring decision

🏖️ Benefits

• Medical, dental and vision insurance • 401(k) • Paid leave • Tuition reimbursement • Variety of other discounts and perks • Bonus eligibility • Long-term incentive eligibility • Fully remote work arrangement