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7 дней назад

AVP, AI Enterprise Architecture

133 500 - 274 100$
Формат работы
onsite
Тип работы
fulltime
Грейд
director
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
AVP, AI Enterprise Architecture (AI/Cloud): Defining and advancing enterprise AI architecture strategy, platforms, governance, and reusable patterns for scalable, secure AI delivery with an accent on foundation models, agentic AI, responsible AI, and cloud capabilities. Focus on designing enterprise AI architectures, evaluating models and platforms, managing risks such as bias and hallucination, and establishing monitoring and adoption frameworks.

Location: Atlanta, Georgia, USA

Base salary: $133,500–$274,100 per year

Company

hirify.global is a Fortune 500 employee benefits provider undergoing a digital transformation and delivering insurance and benefits solutions to millions of people.

What you will do

  • Define and evolve enterprise AI architecture strategy, standards, reference architectures, reusable patterns, and platform roadmaps.
  • Design scalable, modular, secure, primarily cloud-based agentic AI solutions and enterprise platforms.
  • Represent enterprise architecture in AI governance committees and lead architecture governance, compliance, quality, and standards adoption.
  • Evaluate foundation models, cloud AI services, emerging technologies, and platforms based on business fit, cost, and long-term value.
  • Partner with business, product, technology, data, risk, legal, and compliance teams to translate strategy into responsible AI execution.
  • Establish AI deployment, monitoring, model risk, performance, drift, and continuous-improvement frameworks while mentoring architects and technical leaders.

Requirements

  • Bachelor’s degree required; an advanced degree is preferred.
  • 15+ years of enterprise architecture experience, including significant experience designing and implementing enterprise AI/ML platforms and solutions.
  • Deep knowledge of AI/ML frameworks, AWS or comparable cloud AI services, and modern data technologies.
  • Experience with foundation models, prompt engineering, RAG architectures, agentic AI patterns, AI governance, and regulatory considerations.
  • Familiarity with Agile/Lean delivery, CI/CD, MLOps, enterprise architecture modeling, and complex software systems.
  • Strong strategic, analytical, communication, collaboration, and leadership skills across complex organizations.

Culture & Benefits

  • Agile, fast-paced, delivery-focused environment with an entrepreneurial spirit.
  • Onsite fitness facilities and generous paid time off.
  • Professional development programs and employee wellbeing resources.
  • Healthcare, vision, dental, disability, and insurance benefits.
  • Performance-based incentive plans and a 401(k) plan with employer contributions.

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