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 Snowflake Cortex, LangChain, LangGraph, or comparable frameworks.

• Guide the development of reusable tools, APIs, and components for agent-based workflows.

• Direct the processes of retrieval-augmented generation workflows, context management, and prompt design.

• Establish evaluation frameworks, regression tests, monitoring systems, metrics, guardrails, and validation to ensure AI-agent reliability.

• Collaborate with engineering and operations teams to transition AI workflows from prototype stages to full production.

• Supervise the development of production-grade Python applications, libraries, and services.

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

• Work alongside product, engineering, operations, and data platform teams to devise scalable technical solutions.

• Lead the creation of reusable Python libraries that support clean room audience workflows and measurement initiatives.

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

• Facilitate configurable feature deployment across various partners.

• Recruit, nurture, and retain a high-performing team of software and AI engineers.

• Mentor engineers through code reviews, technical design conversations, and operational best practices.

• Set engineering standards for AI-assisted workflows, agent-based systems, reusable libraries, and automation in production.

• Foster reliability, maintainability, and a culture of 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 discipline.

• Over 8 years of experience in software engineering.

• Proven experience in leading and mentoring engineering teams.

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

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

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

• More than 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 optimization, and operational support.

• Preferred: Familiarity with data clean room concepts or platforms.

• Preferred: Experience in advertising technology, audience activation, campaign delivery, reach and frequency, attribution, incrementality, or reporting.

• Preferred: Snowflake SnowPro Core, Databricks Certified Data Engineer Associate, or a similar certification.

• Candidates from outside may need to participate in an in-person interview at an NBCUniversal location.

🏝️ Benefits

• Company-sponsored medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) plan.

• Paid leave.

• Tuition reimbursement.

• A variety of additional discounts and perks.

• Eligibility for bonuses.

• Eligibility for long-term incentives.

• Opportunity to work remotely from a non-NBCUniversal location, typically an employee’s residence.