NBCUniversal is building the foundation for responsible, scalable AI across one of the world's most recognized media and entertainment portfolios. As a Senior AI Governance Engineer, you'll help define how AI products are governed, secured, monitored, and operationalized across sports, news, entertainment, film, and digital businesses.
- Design and maintain semantic models in Snowflake and Databricks to ensure AI systems operate using trusted business definitions.
- Partner with data owners and engineering teams to define governed metrics, entities, lineage, and access patterns.
- Build CI/CD pipelines and Infrastructure-as-Code solutions supporting AI applications, agents, semantic models, and ML workloads.
- Enable repeatable deployment patterns across development, staging, and production environments.
- Create monitoring frameworks for latency, quality, reliability, model usage, and AI operational health.
- Define standards for auditability, compliance, and responsible AI adoption.
- Optimize AI infrastructure utilization and manage cloud consumption across Snowflake, Databricks, and supporting services.
- Develop visibility into model, agent, and inference costs to support sustainable AI growth.
- Design governance frameworks for models, agents, tools, datasets, and APIs.
- Implement RBAC, identity controls, and policy enforcement across AI platforms.
- Bachelor's degree in computer science in related discipline or equivalent
- 5+ years of experience in Data / Cloud Platform Engineering
- Coding Python , Advanced SQL(Snowflake) , AWS, Semantic modelling, Git
- Experience with AI and Database : Snowflake(Cortex) or Databricks (Genie/Agent Bricks)
- Ability to understand how AI Frameworks work: LangGraph, MCP, RAG
- Terraform/IaC : infrastructure as code for cloud AI environments
- Security & Identity: RBAC, IAM policies, Azure AD
- AI Finops: Cloud cost allocation, Tagging, and Optimization
- Docker / Kubernetes: containerization model serving and orchestration
- Excellent communication and presentation skills
Desired Characteristics:
- 5+ years of experience in Snowflake (SnowPro Core or Advanced preferred)
- 5+ years of experience in Databricks or Apache Spark
- 3+ years of experience in MLOps / AIOps pipeline ownership
- 3+ years of experience in CI/CD tooling: GitHub Actions, Terraform, dbt
- 1+ years of experience in LLM / Generative AI platform integration
Additional Requirements:
Fully 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: $115,000 - $145,000
We are accepting applications for this position on an ongoing basis.
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.
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