Director, Automation Engineering

NBCUniversal

NBCUniversal, a global media and entertainment company, seeks a Director of Automation Engineering. Leading AI agents, Python platforms, and advertising data collaboration systems.

Posted 8/14/2026full-timeRemote • New York • 🇺🇸 United StatesLead💰 $165,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the design and delivery of AI agents and automation workflows, with a strong focus on Python application development, cloud data platforms, and engineering team mentorship. Proficient in establishing engineering standards and promoting reliability and maintainability in production systems.

Highest-signal resume keywords

Python Application DevelopmentAI-Enabled Workflow DesignCloud Data PlatformsTeam Leadership and MentorshipCI/CD and Automated Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringProduction-Grade SoftwarePrompt EngineeringObservabilityScalabilityPerformance TuningRegression TestingModular DesignObject-Oriented DesignData Collaboration Workflows

Soft Skills

CollaborationMentoringCommunicationLeadershipContinuous Improvement

Tools & Technologies

Snowflake CortexLangChainLangGraphDatabricksVector DatabasesLLMsRAGAPIsCI/CD ToolsMonitoring Tools

Certifications & Qualifications

Snowflake SnowPro CoreDatabricks Certified Data Engineer Associate

Industry Keywords

AI AgentsAutomation WorkflowsData Clean Room ConceptsAdvertising TechnologyAudience Activation

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Lead the design and delivery of internal AI agents and automation workflows using Snowflake Cortex, LangChain, LangGraph, or similar frameworks
Guide reusable tools, APIs, and components for agentic workflows
Direct retrieval-augmented generation workflows, context management, and prompt patterns
Establish evaluation harnesses, regression tests, monitoring, metrics, guardrails, and validation for AI-agent reliability
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
Collaborate with product, engineering, operations, and data platform teams on scalable technical solutions
Lead reusable Python libraries supporting 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 systems, reusable libraries, and production automation
Promote reliability, maintainability, and continuous improvement

Requirements

What you’ll need

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
Preferred: exposure to data clean room concepts or platforms
Preferred: advertising technology, audience activation, campaign delivery, reach and frequency, attribution, incrementality, or reporting experience
Preferred: Snowflake SnowPro Core, Databricks Certified Data Engineer Associate, or similar certification
External candidates may be required to attend an in-person interview at an NBCUniversal location

Benefits

Comp & perks

Company-sponsored medical insurance
Dental insurance
Vision insurance
401(k)
Paid leave
Tuition reimbursement
Variety of other discounts and perks
Bonus eligibility
Long-term incentive eligibility
Remote work from a non-NBCUniversal worksite, most commonly an employee’s residence