Job description

NBCUniversal Advertising Products & Solutions (AP&S) is responsible for the product development and project management of NBCUniversal’s full advertising technology suite. From sales support to campaign execution, delivery, and billing, our division services both internal and external customers in support of NBCUniversal’s $7B+ annual advertising business. Together, we’re building the platform that powers the future of advertising at NBCU. Our Data Collaboration Group, a core part of AP&S, powers the full advertiser lifecycle across insights, measurement, onboarding, activation, and optimization, utilizing various integration pathways including Data Clean Rooms and secure data shares. Within the Data Collaboration Group, our Engineering & Operations team builds the automation and platform capabilities behind these workflows. We are seeking a Senior Software Engineer, Automation Engineering to join the Engineering & Operations team. Reporting to the Director of Automation Engineering, this role will build AI-enabled automation systems and production-grade software that support NBCUniversal’s data collaboration ecosystem.  The ideal candidate is a strong Python engineer who can design reliable systems, productize repeatable workflows, and build AI agents that help automate complex engineering and operational tasks across data platforms for audience activation, measurement, and reporting.  Responsibilities: • AI Agent & Automation Engineering  • 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.  • Agent Evaluation & Reliability  • 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.  • Software Engineering & Platform Development  • 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.  • Audience & Measurement Productization  • 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.  • Technical Mentorship  • 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.  Required Qualifications • Education • Bachelor’s degree or equivalent practical experience in Computer Science, Information Systems, Software Engineering, Electrical Engineering, Electronics Engineering, or a related technical field  • Software Engineering • 5+ years of experience building production-grade software using Python, including libraries, services, testing, CI/CD, and code reviews  • AI / LLM Engineering • Hands-on experience building applications using LLMs, RAG, vector databases, prompt engineering, or frameworks such as LangChain, LangGraph, LlamaIndex, or similar tools  • Agentic Systems / Automation  • Experience designing AI-enabled workflows, reasoning agents, tool-using agents, or complex automation systems  • Data Platforms  • 3+ years of hands-on experience with cloud data platforms such as Snowflake, Databricks, or similar technologies  • Systems Design  • Strong understanding of production system design, including observability, reliability, scalability, performance tuning, and operational support  Preferred Qualifications  • Clean Room Knowledge  • Exposure to data clean room concepts or platforms such as Snowflake Clean Rooms, Databricks Clean Rooms, LiveRamp, Habu, or similar technologies  • Ad Tech / Measurement  • Experience with advertising technology, audience activation, campaign delivery, reach and frequency, attribution, incrementality, or reporting workflows  • Certifications  • Snowflake SnowPro Core Certification, Databricks Certified Data Engineer Associate, or similar cloud/data platform certification  Additional 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. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. • 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. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com. For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

Requirements

Must-haves

AI Agent & Automation Engineering
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 & Reliability
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.
Software Engineering & Platform Development
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.
Audience & Measurement Productization
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 Mentorship

Nice-to-haves

Clean Room Knowledge
Exposure to data clean room concepts or platforms such as Snowflake Clean Rooms, Databricks Clean Rooms, LiveRamp, Habu, or similar technologies
Ad Tech / Measurement
Experience with advertising technology, audience activation, campaign delivery, reach and frequency, attribution, incrementality, or reporting workflows
Certifications
Snowflake SnowPro Core Certification, Databricks Certified Data Engineer Associate, or similar cloud/data platform certification

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonci/cdllm

Platform: smartrecruiters
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)