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Senior AI Platform Governance Engineer
NBCUniversalPosted 10/21/2026full-timeRemote • New York • United StatesSenior💰 $115,000 - $145,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI product governance, cloud platform engineering, and semantic modeling, with a strong focus on optimizing AI infrastructure and ensuring compliance. Proficient in building CI/CD pipelines and implementing Infrastructure-as-Code solutions for scalable AI applications.
Highest-signal resume keywords
Data / Cloud Platform EngineeringPythonAdvanced SQL (Snowflake)CI/CD Tooling (GitHub Actions, Terraform)MLOps / AIOps Pipelines
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Paid leave
- Tuition reimbursement
- Variety of other discounts and perks
- Fully remote work arrangement
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonAdvanced SQLSemantic ModellingCloud Cost AllocationRBACInfrastructure-as-CodeDockerKubernetesDatabricksSnowflake
Soft Skills
Excellent CommunicationPresentation Skills
Tools & Technologies
AWSGitTerraformDbtLangGraphMCPRAG AI Frameworks
Certifications & Qualifications
SnowPro CoreSnowPro Advanced
Industry Keywords
AI GovernanceOperational HealthModel ServingAuditabilityResponsible AI Adoption