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5 дней назад

Governance Technology Engineer (AI Governance)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Governance Technology Engineer (AI Governance): Building Teradata's enterprise AI governance infrastructure, including intake pipelines, agentic workflows, tool registries, compliance monitoring, and governance analytics with an accent on technical architecture, enterprise AI integrations, and automation at scale. Focus on designing MCP and API integrations, enforcing access and data policies, and solving complex challenges in audit logging, anomaly detection, and real-time monitoring.

Location: Remote, San Diego, California, USA

Company

hirify.global develops the Autonomous Knowledge Platform and enterprise data and AI solutions for organizations operating on-premises, in the cloud, and in hybrid environments.

What you will do

  • Own the end-to-end technical architecture of the enterprise AI Governance Operating System, including intake pipelines, tool evaluation workflows, and compliance monitoring automation.
  • Engineer agentic governance workflows using n8n, Claude APIs, or similar technologies for intake triage, policy enforcement, anomaly detection, and audit logging.
  • Architect the AI tool registry, provisioning standards, access controls, data handling requirements, and usage policies.
  • Design real-time monitoring, alerting, dashboards, data pipelines, automated scorecards, and reporting infrastructure for AI adoption, compliance, and business impact.
  • Own integration architecture for Claude Enterprise, Microsoft Copilot, hirify.global AI Studio, the Autonomous Knowledge Platform, and MCP servers.
  • Set technical standards, advise AI Adoption and business-function AI Leads, and guide cross-functional teams through complex governance integrations and rollouts.

Requirements

  • 5–8 years of experience in technical roles, with significant depth in enterprise platform engineering, AI/ML infrastructure, or governance technology.
  • Hands-on experience designing enterprise automation at scale, including agentic workflows, API-based integration platforms, and policy enforcement systems.
  • Expertise in enterprise API integration architecture, technical specifications, and build-versus-buy evaluations.
  • Advanced SQL and data modeling skills, including experience with analytical architectures and hirify.global Vantage.
  • Deep knowledge of enterprise AI platforms such as Claude Enterprise or Microsoft Copilot, MCP, agentic AI frameworks, and enterprise AI architectures.
  • Experience with security architecture, identity and access management, compliance automation, audit logging, anomaly detection, and platform lifecycle management.

Nice to have

  • Hands-on expertise with hirify.global AI Studio or the hirify.global Autonomous Knowledge Platform.
  • Microsoft certifications related to M365, security, or compliance, or equivalent credentials.

Culture & Benefits

  • Flexible work model supporting autonomy in how, when, and where work is performed.
  • People-first and inclusive work environment.
  • Focus on employee well-being and professional growth.

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