Senior AI Platform Governance Engineer

This is a fully remote position, open to applicants in New York.

📋 Description

• Establish governance, security, monitoring, and operational protocols for AI products across sectors such as sports, news, entertainment, film, and digital businesses.

• Create and manage semantic models within Snowflake and Databricks.

• Collaborate with data owners and engineering teams to define governed metrics, entities, lineage, and access patterns.

• Develop CI/CD pipelines and Infrastructure-as-Code solutions for AI applications, agents, semantic models, and machine learning workloads.

• Facilitate repeatable deployments across development, staging, and production environments.

• Design monitoring frameworks to assess latency, quality, reliability, model usage, and overall AI operational health.

• Establish standards for auditability, compliance, and the responsible adoption of AI technologies.

• Enhance AI infrastructure utilization and oversee cloud consumption across Snowflake, Databricks, and supporting services.

• Provide insights into the costs associated with models, agents, and inferences.

• Create 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, a related field, or equivalent experience.

• Over 5 years of experience in Data / Cloud Platform Engineering.

• Proficiency in Python.

• Advanced SQL skills, particularly with Snowflake.

• Experience with AWS.

• Knowledge of semantic modeling.

• Familiarity with Git.

• Experience with Snowflake (Cortex) or Databricks (Genie/Agent Bricks).

• Understanding of LangGraph, MCP, and RAG AI frameworks.

• Proficiency in Terraform / Infrastructure-as-Code for cloud AI environments.

• Experience with RBAC, IAM policies, and Azure AD.

• Knowledge of cloud cost allocation, tagging, and optimization.

• Experience with Docker / Kubernetes for containerization, model serving, and orchestration.

• Excellent communication and presentation skills.

• More than 5 years of experience with Snowflake; SnowPro Core or Advanced certification preferred.

• Over 5 years of experience with Databricks or Apache Spark.

• At least 3 years of experience managing MLOps / AIOps pipelines.

• A minimum of 3 years of experience with CI/CD tools, including GitHub Actions, Terraform, and dbt.

• At least 1 year of experience in integrating LLM / Generative AI platforms.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) plan.

• Paid leave.

• Tuition reimbursement.

• A variety of other discounts and perks.

• Fully remote work arrangement.