Sr. Software Engineer, Automation Engineering will build AI-enabled automation systems and production-grade software that support NBCUniversal’s data collaboration ecosystem.Responsibilities:AI Agent & Automation EngineeringDesign 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.Agent Evaluation & ReliabilityBuild 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.Software Engineering & Platform DevelopmentDesign, build, and maintararies, 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.Audience & Measurement ProductizationBuild 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.Technical MentorshipMentor 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.Required QualificationsEducationBachelor’s degree or equivalent practical experience ormation Systems, Software Engineering, Electrical Engineering, Electronics Engineering, or a related technical fieldSoftware Engineering5+ years of experience building production-grade software using Python, including libraries, services, testing, CI/CD, and code reviewsAI / LLM EngineeringHands-on experience building applications using LLMs, RAG, vector databases, prompt engineering, or frameworks such as LangChain, LangGraph, LlamaIndex, or similar toolsAgentic Systems / AutomationExperience designing AI-enabled workflows, reasoning agents, tool-using agents, or complex automation systemsData Platforms3+ years of hands-on experience with cloud data platforms such as Snowflake, Databricks, or similar technologiesSystems DesignStrong understanding of production system design, including observability, reliability, scalability, performance tuning, and operational supportPreferred QualificationsClean Room KnowledgeExposure to data clean room concepts or platforms such as Snowflake Clean Rooms, Databricks Clean Rooms, LiveRamp, Habu, or similar technologiesAd Tech / MeasurementExperience with advertising technology, audience activation, campaign delivery, reach and frequency, attribution, incrementality, or reporting workflowsCertificationsSnowflake SnowPro Core Certification, Databricks Certified Data Engineer Associate, or similar cloud/data platform certificationAdditional Requirements:Full Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence.This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.Salary Range:$140,000 - $180,000 (bonus eligible)As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision.
5 days ago