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20 часов назад

VP, AI Quality Software Engineering (AI)

180 000 - 220 000$
Формат работы
remote (только USA)
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

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TL;DR

VP, AI Quality Software Engineering (AI): Leading the engineering strategy for AI-driven quality assurance and platform reliability with an accent on enterprise-scale automation and intelligent testing. Focus on building high-performing teams, driving AI/ML integration into the SDLC, and ensuring secure, scalable, and resilient software delivery.

Location: Remote (US)

Salary: $180,000 - $220,000

Company

hirify.global is a global fintech leader empowering organizations to accomplish more through innovative technology and platform solutions.

What you will do

  • Define and execute the AI software engineering strategy for the Platform Quality Engineering organization.
  • Lead the design and implementation of AI-powered solutions to enhance testing, defect prediction, and platform performance.
  • Build, mentor, and scale high-performing teams of software, AI, and quality engineers.
  • Establish governance for AI usage, model quality, data integrity, and regulatory compliance.
  • Partner with senior leadership to align AI initiatives with enterprise technology priorities.
  • Drive the adoption of modern engineering practices across CI/CD, observability, and platform automation.

Requirements

  • 12+ years of experience in software, platform, or quality engineering.
  • 5+ years of experience leading large engineering teams and delivering enterprise-scale solutions.
  • Proven expertise in building and implementing AI/ML-driven solutions in software engineering or testing environments.
  • Deep knowledge of SDLC, Agile, DevOps, CI/CD, and cloud-native development.
  • Strong understanding of software architecture, distributed systems, and platform scalability.
  • Must be authorized to work in the US and capable of operating within US-based enterprise standards.

Nice to have

  • Experience with generative AI, NLP, or predictive analytics in software development.
  • Familiarity with MLOps, model governance, and AI lifecycle management.
  • Experience in financial services or highly regulated industries.
  • Proficiency with major cloud platforms (AWS, Azure, or GCP).

Culture & Benefits

  • Comprehensive benefit offerings including health, wellness, and retirement programs.
  • Commitment to an inclusive, collaborative, and diverse workplace culture.
  • Focus on continuous learning, career development, and professional growth.
  • Support for work-life balance and employee well-being.

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