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7 дней назад

Principal Enterprise Architect, AI Strategy & Enablement

Формат работы
hybrid
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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TL;DR
Principal Enterprise Architect, AI Strategy & Enablement (Generative AI/Microsoft AI): Shape enterprise AI strategy, target-state architecture, governance, and adoption across enterprise applications and data with an accent on generative AI, Copilot, Azure OpenAI, and responsible AI. Focus on prioritizing high-value use cases, establishing scalable architecture standards, ensuring data quality and compliance, and driving AI literacy and adoption.

Location: Hybrid, based in offices in Philadelphia, PA; Kansas City, MO; or Ann Arbor, MI, United States.

Company

hirify.global provides IT services through enterprise applications, data, integration, and emerging AI capabilities.

What you will do

  • Shape the enterprise AI strategy, target-state architecture, and multi-year roadmap across enterprise applications and data.
  • Establish scalable architecture patterns and standards for generative AI, copilots, and agent-based capabilities, and evaluate emerging technologies and build-versus-buy opportunities.
  • Define AI governance and responsible AI guardrails with Security, Legal, Risk, and Compliance, covering privacy, security, regulatory, and audit requirements.
  • Conduct architecture reviews and ensure data quality, lineage, access, and classification support trusted and secure AI solutions.
  • Establish AI use-case intake and prioritization across HR, Finance, Legal, and Sales, guiding pilots into scalable production solutions.
  • Drive AI literacy, training, communication, adoption measurement, value realization, architectural compliance, and architect mentoring.

Requirements

  • Bachelor’s degree or equivalent relevant professional experience.
  • At least 10 years of relevant professional experience, including at least 5 years in enterprise, solution, or data architecture roles.
  • At least 2 years of experience architecting and delivering AI/ML or generative AI solutions in a scaled environment.
  • At least 5 years of experience in data architecture and data governance, including data platforms, data quality, and the data foundations required to support AI at scale.
  • At least 5 years of experience partnering with and influencing senior stakeholders, including leading technology or architecture initiatives without direct authority.
  • At least 3 years of experience driving technology change management, AI literacy, training, enablement, or adoption programs for business and/or technology teams.
  • At least 3 years of experience mentoring or developing architects or other technology professionals.

Nice to have

  • Experience with the Microsoft AI ecosystem, including Microsoft Copilot and Azure OpenAI.
  • Experience architecting generative AI, copilot, or agent-based capabilities within enterprise applications.
  • Experience evaluating AI technologies, vendors, and platforms and contributing to build-versus-buy decisions.
  • Experience establishing or operating structured AI use-case intake and prioritization processes.
  • Experience partnering with HR, Finance, Legal, or Sales on enterprise AI initiatives.
  • Experience defining or measuring AI adoption, value realization, or architectural compliance.

Culture & Benefits

  • Full-time, permanent employment.
  • Hybrid work from offices in Philadelphia, Kansas City, or Ann Arbor.
  • Collaboration with IT leadership, Enterprise Application Leadership, Product Owners, architects, software engineers, data analysts, and business functions.
  • Opportunity to influence enterprise AI direction, mentor architects, and support efficiency, scalability, colleague experience, and compliance.

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