VP, AI Quality Software Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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