Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$115к-145к/год
$180к$230кмедиана$260к
По похожим ролям (49) ~ $230к/год
На СНГ рынке: $4.6к/мес ($4к - $4.7к)
58
Средняя вакансия
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В вакансии современный стек для AI-платформ и понятные обязанности, но зарплата заметно ниже ориентира для сопоставимых senior-ролей, что снижает её привлекательность на рынке.
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Зарплата ниже рынкаСовременный стекПонятные задачиФокус на AI
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Platform Governance Engineer (AI): Building governed, secure, and observable AI platforms across media and entertainment businesses with an accent on semantic modeling, infrastructure automation, and responsible AI controls. Focus on designing deployment and monitoring frameworks, implementing RBAC and policy enforcement, and optimizing cloud and model costs across Snowflake, Databricks, and supporting services.
Location: Fully remote from a non-hirify.global worksite, most commonly an employee's residence; listed location: New York, United States.
Salary: USD 115,000–145,000 yearly.
Company
hirify.global is a media and entertainment company producing and distributing film, television, streaming, news, sports, theme park, consumer product, and digital content.
What you will do
Design and maintain semantic models in Snowflake and Databricks using trusted business definitions, governed metrics, entities, lineage, and access patterns.
Build CI/CD pipelines and Infrastructure-as-Code solutions for AI applications, agents, semantic models, and machine learning workloads across development, staging, and production.
Create monitoring frameworks for latency, quality, reliability, model usage, and AI operational health.
Define standards and governance frameworks for auditability, compliance, responsible AI adoption, models, agents, tools, datasets, and APIs.
Implement RBAC, identity controls, and policy enforcement across AI platforms.
Optimize AI infrastructure utilization, cloud consumption, and model, agent, and inference costs across Snowflake, Databricks, and supporting services.
Requirements
Bachelor's degree in computer science, a related discipline, or equivalent.
5+ years of experience in Data or Cloud Platform Engineering.
Python, advanced SQL with Snowflake, AWS, semantic modeling, and Git.
Experience with AI and databases, including Snowflake Cortex or Databricks Genie/Agent Bricks.
Understanding of AI frameworks including LangGraph, MCP, and RAG.
Terraform and Infrastructure as Code for cloud AI environments.
Security and identity experience with RBAC, IAM policies, and Azure AD.
AI FinOps experience with cloud cost allocation, tagging, and optimization.
Docker and Kubernetes for containerization, model serving, and orchestration; excellent communication and presentation skills.
Nice to have
5+ years of experience with Snowflake; SnowPro Core or Advanced certification is preferred.
5+ years of experience with Databricks or Apache Spark.
3+ years of experience owning MLOps or AIOps pipelines.
3+ years of experience with CI/CD tooling, including GitHub Actions, Terraform, or dbt.
1+ years of experience integrating LLM or Generative AI platforms.
Culture & Benefits
Fully remote position performed from a non-hirify.global worksite, most commonly an employee's residence.
Company-sponsored medical, dental, and vision insurance.
401(k), paid leave, tuition reimbursement, and other discounts and perks.
External candidates may be required to attend an in-person interview at an hirify.global location before a hiring decision.
Applications are accepted on an ongoing basis.
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