Senior AI Platform Governance Engineer
Company websitenbcuniversal.com (NBCUniversal, opens in new tab)
Base salary $115K to $145K
Employer-published annual base salary, USD. Advertised base range in New York, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY
- WorkplaceRemote
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Company Description
NBCUniversal 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 www.nbcuniversal.com 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
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.
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. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $115,000 - $145,000
We are accepting applications for this position on an ongoing basis.
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 [email protected].
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.
Source: NBCUniversal on SmartRecruiters · View original posting (opens in new tab)
This listingSenior AI Platform Governance Engineer$115K to $145K
Sr. Data Engineer$115K to $145K
Sr Manager, External Affairs USH$110K to $140K
Product Manager$110K to $145K
Data Architect (Microsoft Fabric)$120K to $140K
Manager, Product$110K to $150K
Product Manager$110K to $145K
Chart as a table
| Role | Published base |
|---|---|
| Senior AI Platform Governance Engineer (this listing) | $115K - $145K |
| Sr. Data Engineer | $115K - $145K |
| Sr Manager, External Affairs USH | $110K - $140K |
| Product Manager | $110K - $145K |
| Data Architect (Microsoft Fabric) | $120K - $140K |
| Manager, Product | $110K - $150K |
| Product Manager | $110K - $145K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-19
Where this pay comes from
Location as the employer wrote it: New York, NEW YORK, United States (remote)
variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $115,000 - $145,000
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
