Sr. Software Engineer, Automation Engineering

NBCUniversal’s Advertising Products & Solutions division develops and manages its advertising technology suite, and its Data Collaboration Group supports advertiser workflows across insights, measurement, onboarding, activation, and optimization. The Senior Software Engineer will build AI-enabled automation systems and production-grade software, including reusable Python tools and libraries that support data collaboration, audience activation, and measurement workflows.

Responsibilities:

• Design and build internal AI agents and automation workflows using technologies such as, Snowflake Cortex, LangChain, LangGraph, or similar frameworks, to support planning, tool use, retrieval, validation, and human-in-the-loop execution where appropriate
• Develop reusable tools, APIs, and components that engineers can compose into new agentic workflows
• Implement retrieval-augmented generation workflows, context management strategies, and prompt patterns that improve accuracy, reliability, latency, and cost efficiency
• Build evaluation harnesses, regression tests, and monitoring patterns for AI-agent behavior
• Define and track metrics such as task completion, groundedness, response accuracy, latency, cost, and failure rate
• Design guardrails and validation patterns to reduce hallucinations, unsafe outputs, and unreliable automation behavior
• Partner with engineering and operations teams to move AI workflows from prototype to production-ready systems
• Design, build, and maintain production-grade Python applications, libraries, and services
• Champion object-oriented design principles, including encapsulation, abstraction, inheritance/composition, reusable interfaces, and clean separation of concerns to improve maintainability and extensibility
• Champion software engineering best practices including modular design, automated testing, CI/CD, code reviews, observability, and documentation
• Create reusable engineering patterns that reduce bespoke development effort and improve consistency across partner engagements
• Collaborate with product, engineering, operations, and data platform teams to translate repeatable business needs into scalable technical solutions
• Build reusable Python libraries that support clean room capabilities across first-party audience workflows and core measurement use cases, including audience onboarding, ingestion, indexing, activation, campaign and impression delivery analysis, reach and frequency, attribution, and incrementality
• Abstract complex analytical and data collaboration workflows into repeatable, self-service components for internal teams and external partners
• Enable configurable feature deployment so new audience and measurement capabilities can be delivered quickly and consistently across partners
• Mentor engineers through code reviews, technical design discussions, and operational best practices
• Help establish engineering standards for AI-assisted workflows, agentic system design, reusable libraries, and production automation
• Promote a culture of 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
• 5+ years of 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, or frameworks such as LangChain, LangGraph, LlamaIndex, or similar tools
• Experience designing AI-enabled workflows, reasoning agents, tool-using agents, or complex automation systems
• 3+ 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, LiveRamp, Habu, or similar technologies
• 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