Note: The job is a remote job and is open to candidates in USA. NBCUniversal is building a foundation for responsible, scalable AI across its media and entertainment businesses. The Senior AI Platform Governance Engineer will establish and operate governance, security, monitoring, and deployment practices for AI platforms, models, and workloads.

Responsibilities

• 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

Skills

• 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

Benefits

• Eligible for company-sponsored medical, dental and vision insurance
• Eligible for company-sponsored 401(k)
• Eligible for company-sponsored paid leave
• Eligible for company-sponsored tuition reimbursement
• Eligible for a variety of other discounts and perks
• Fully remote; expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence

Company Overview

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