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19 часов назад

SVP AI Enterprise Architect (AI)

137 400 - 240 400$
Формат работы
onsite
Тип работы
fulltime
Грейд
c_level
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
SVP AI Enterprise Architect (Generative AI/Machine Learning): Shaping enterprise AI strategy and architecture for a regulated financial institution with an accent on governance, risk controls, and sustainable AI adoption. Focus on aligning AI solutions with business priorities, improving developer experience, scaling automation, and designing compliant generative AI and ML capabilities.

Location: Chicago, IL, United States. Applicants must be authorized to work in the U.S. without employment-based visa sponsorship.

Salary: $137,400–$240,400 USD annually, plus potential discretionary bonus and equity component.

Company

hirify.global is a Fortune 500 financial institution providing wealth management, asset servicing, asset management, and banking services.

What you will do

  • Shape enterprise strategy and architecture for generative AI and machine learning.
  • Guide controlled AI adoption, intelligent automation, process optimization, and enterprise AI initiatives.
  • Advise application development teams on improving developer experience, delivery velocity, and solution quality with AI.
  • Translate business objectives into secure, governed, and actionable technical architectures.
  • Drive AI governance through Architecture Review Boards and appropriate risk controls.
  • Monitor emerging AI technologies, industry practices, and enterprise-grade implementation approaches.

Requirements

  • Deep experience with generative AI, machine learning, and enterprise AI/ML systems in regulated industries.
  • Strong enterprise architecture experience, including business alignment, AI governance, regulatory frameworks, and compliant risk controls.
  • Experience scaling AI adoption across cross-functional teams and defining measurable AI ROI.
  • Advanced degree in AI, data science, computer science, or a related field, plus relevant professional certifications.
  • Strong programming skills, preferably in Python or another object-oriented language, with experience building proofs of concept and demonstrations.
  • Experience with model training or fine-tuning and an advanced Azure cloud certification.

Nice to have

  • Familiarity with AI architecture frameworks, MLOps, and CI/CD for agentic applications.
  • Mastery of Azure AI Foundry and working knowledge of AWS generative AI tools.
  • Experience with RAG applications, advanced prompt engineering, vector databases, LangChain, TensorFlow, PyTorch, or Databricks SDKs.

Culture & Benefits

  • Retirement benefits including 401(k) and pension.
  • Medical, dental, vision, spending account, disability, life, and accident insurance benefits.
  • Paid time off, parental and caregiver leave, and additional well-being benefits.
  • Flexible and collaborative work culture with accessible senior leadership and opportunities for internal movement.
  • Inclusive workplace and community philanthropy initiatives.

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