Senior AI Platform Governance Engineer

Job not on LinkedIn

🕒 October 21

🗽 New York – Remote

🗽 New York – Remote

💵 $115k - $145k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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NBCUniversal

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2004

📱 Media

Media • Entertainment

NBCUniversal is a leading global media and entertainment company known for creating and distributing content across a variety of platforms. With over 100 years of experience, it is a part of Comcast and encompasses brands like Peacock, NBC Sports, and many others to educate, entertain, and empower audiences around the world. The company is involved in television broadcasting, film production, and theme parks, and is also recognized for its initiatives in technology and corporate social responsibility. NBCUniversal is committed to innovation and social impact, making it a vibrant workplace for media and tech professionals.

📋 Description

• 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 • 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 for AI applications, agents, semantic models, and ML workloads • Enable repeatable deployments 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 • Design governance frameworks for models, agents, tools, datasets, and APIs • Implement RBAC, identity controls, and policy enforcement across AI platforms

🎯 Requirements

• Bachelor's degree in computer science, related discipline, or equivalent • 5+ years of experience in Data / Cloud Platform Engineering • Python • Advanced SQL (Snowflake) • AWS • Semantic modelling • Git • Experience with Snowflake (Cortex) or Databricks (Genie/Agent Bricks) • Understanding of LangGraph, MCP, and RAG AI frameworks • Terraform / Infrastructure-as-Code for cloud AI environments • RBAC, IAM policies, and Azure AD • Cloud cost allocation, tagging, and optimization • Docker / Kubernetes for 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 owning MLOps / AIOps pipelines • 3+ years of experience with CI/CD tooling, including GitHub Actions, Terraform, and dbt • 1+ years of experience in LLM / Generative AI platform integration

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) • Paid leave • Tuition reimbursement • Variety of other discounts and perks • Fully remote work arrangement

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