Senior AI Platform Governance Engineer

Nbcuniversal Media, LLC

Oregon

Hybrid

USD 115,000 - 145,000

Full time

4 days ago
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Benefits offered by this job

Fully remote work

Job summary

NBCUniversal is seeking a senior Data/Cloud Platform Engineer to design semantic models in Snowflake and Databricks, build governance and CI/CD/IaC pipelines, and optimize AI infrastructure across cloud platforms. The role focuses on auditable, compliant, and cost-efficient AI deployments with RBAC controls.

You will collaborate with data owners and engineering teams to define metrics, lineage, and access patterns while enabling scalable deployment and monitoring across development, staging, and

Qualifications

  • Bachelor's degree in computer science or 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.

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

Python
Advanced SQL (Snowflake)
AWS
Semantic modelling
Git

Education

Bachelor's degree in computer science or related discipline

Tools

Snowflake (Cortex)
Databricks
Docker
Kubernetes
Terraform
dbt
GitHub Actions
Azure AD

Job description

Company DescriptionNBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit for more information.Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description
  • 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.
Qualifications
  • 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
Desired Characteristics
  • 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
Additional Requirements
  • Fully Remote : This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee's residence.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Salary range: $115,000 - $145,000

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing .For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

Business Segment: Operations & Technology Compensation: USD 115000 - USD 145000 - yearly

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