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# Senior AI Platform Governance Engineer

- **Company:** Nbcuniversal Media, LLC
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $115,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, ARM Architecture, Databases, Continuous Integration, Github, Identity and Access Management, Python (Programming Language), Role-Based Access Control, Azure Active Directory, AI Infrastructure, Cloud Platform System, Sql Optimization, Retrieval-Augmented Generation, Large Language Models, Snowflake, Apache Spark, Generative AI, Git, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Cloud Optimization, Terraform, AIOps, Docker, Databricks
- **Published:** October 22, 2026
- **Apply:** https://dejobs.org/x/x/8DE923B395174EA1AD1504F37D0B2652/job/

## About the Role

* 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, * 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

## 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.