Senior AI Platform Governance Engineer

NBCUniversal•New York, NY

4d•$115,000 - $145,000•Remote

About The Position

NBCUniversal is building a foundation for responsible, scalable AI across its media and entertainment businesses. The Senior AI Governance Engineer will help define how AI products are governed, secured, monitored, and operationalized across sports, news, entertainment, film, and digital businesses. The role designs and maintains semantic models in Snowflake and Databricks, partners with data owners and engineering teams to establish governed business definitions and access patterns, and builds repeatable deployment and infrastructure solutions for AI applications and workloads. It also develops monitoring, auditability, compliance, responsible-AI, security, and cost-management frameworks across AI platforms. This is a fully remote position. The salary range is $115,000–$145,000. The position is eligible for company-sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and other discounts and perks. Applications are accepted on an ongoing basis.

Requirements

Bachelor’s degree in computer science or a related discipline, or equivalent.
At least 5 years of experience in data or cloud platform engineering.
Python coding skills.
Advanced SQL, including Snowflake.
Experience with AWS, semantic modeling, and Git.
Experience with Snowflake Cortex or Databricks Genie/Agent Bricks.
Ability to understand AI frameworks such as LangGraph, MCP, and RAG.
Experience with Terraform or other Infrastructure-as-Code approaches for cloud AI environments.
Knowledge of security and identity concepts, including RBAC, IAM policies, and Azure AD.
Knowledge of AI FinOps, including cloud cost allocation, tagging, and optimization.
Experience with Docker and Kubernetes for model-serving containerization and orchestration.
Excellent communication and presentation skills.

Nice To Haves

SnowPro Core or Advanced certification preferred.
At least 5 years of experience with Snowflake.
At least 5 years of experience with Databricks or Apache Spark.
At least 3 years of experience owning MLOps/AIOps pipelines.
At least 3 years of experience with CI/CD tooling such as GitHub Actions, Terraform, and dbt.
At least 1 year of experience integrating LLM or generative AI platforms.

Responsibilities

Design and maintain semantic models in Snowflake and Databricks so AI systems use 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 machine-learning 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 role-based access control, identity controls, and policy enforcement across AI platforms.