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Tier-1 brand plus seniority and broad AI/platform requirements produce moderate candidate competition.
Strong platform, AI enablement, and regulated healthcare expectations make cross-industry fit moderately sensitive.
Explicit 14+ years, 4+ years managerial experience, and mandated AI/platform expertise create high filtering.
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Lead multiple software engineering teams delivering enterprise-scale consumer engagement platforms including AI/ML-enabled personalization and engagement features.
Oversee engineering execution covering architecture standards, CI/CD, observability, incident response, and operational stability for large-scale, high-availability systems.
Partner cross-functionally to build privacy-safe, intuitive consumer experiences and provide executive reporting on delivery, operational health, and AI ROI.
14+ years of software engineering experience.
4+ years managing software engineering teams including managers and senior engineers.
Hands-on experience integrating and operationalizing AI/ML capabilities safely in production environments.
Proven expertise in enterprise-scale, cloud-native architectures, microservices, APIs, and consumer-facing digital product delivery.
Experienced leader operating across multiple engineering teams with a strong track record of engineering excellence and team development.
Deep technical proficiency in modern software architectures combined with practical AI/ML integration and governance experience.
Comfortable driving complex, cross-functional AI-enabled consumer engagement products in regulated, privacy-sensitive environments.