Job DescriptionNBCUniversal 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.
Qualifications- 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.
Additional InformationAs 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.
