Director of Quality Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Director of Quality Engineering (AI): Architect and lead quality engineering discipline into AI era, owning automation infrastructure, performance engineering, and AI-driven quality initiatives. Focus on deploying LLM-powered test generation, building frameworks for AI/ML validation, and embedding AI-quality thinking into every SDLC stage.
Location: Hybrid in Raanana, Israel (2 days office, 3 days remote)
Company
Market-leading software company excelling in AI, cloud, and digital solutions for customer experiences, financial crime prevention, and public safety, with 8,500+ employees across 30+ countries.
What you will do
- Define and lead AI-augmented quality initiatives, deploying LLM-powered test generation, triage, and root-cause analysis.
- Build frameworks for validating AI/ML outputs and non-deterministic behaviors; integrate emerging AI quality tools.
- Own automation strategy across UI/API/integration, architect scalable test frameworks, and drive shift-left in CI/CD.
- Lead performance/load testing at scale, define SLOs/SLAs, and integrate continuous validation into pipelines.
- Lead and grow teams of engineers/architects, set technical direction/OKRs, hire senior talent, and partner cross-functionally.
Requirements
- 12+ years in software engineering/QA, 5+ years Director-level leadership with direct reports
- Deep hands-on test automation architecture experience; built frameworks from scratch.
- Proven performance engineering at scale (10k+ users, distributed/cloud-native systems).
- Experience with AI/ML systems quality challenges; managing multi-team orgs (10-40+ headcount).
- Enterprise software preferred (SaaS, CCaaS, fintech, high-uptime/regulated).
- LLM knowledge (prompt engineering, RAG, agents); proficient in Python/TypeScript/Java, CI/CD, observability tools.
hirify.global-to-have"> to have
- Experience evaluating AI coding assistants (GitHub Copilot, Claude).
- Statistical testing for model drift, data validation, behavioral testing.
Culture & Benefits
- -FLEX hybrid model: 2 office days for collaboration, 3 remote days weekly.
- Fast-paced, collaborative environment with top talent; endless internal career opportunities.
- Equal opportunity employer; focus on innovation, high standards, and continuous learning.
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