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Senior AI Platform Governance Engineer

NBCUniversal•United States•🌍 Remote
Full-timeSenior
$115K - $145K
per year
👁️ 0 views•📝 0 applications•Posted 10/21/2026•Expires 11/21/2026
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Job Description

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 presentatio

Required Skills

AWSAzureCI/CDDockerGitKubernetesMachine LearningPythonSnowflakeSQLTerraform

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