Senior AI Platform Governance Engineer
New York, New York County, New York, 10261, USA
Listed on 2026-10-23
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IT/Tech
Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), Data Engineering
- Business Segment:
Operations & Technology - Compensation: USD 115,000 - USD 145,000 - yearly
NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service.
We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, Dream Works Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood.
NBCUniversal is a subsidiary of Comcast Corporation. Visit for more information.
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
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.
- 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:
Lang Graph, 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 (Snow Pro 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:
Git Hub 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
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