обновлено 7 дней назад
VP, Head of Engineering Practice (AI)
200 000 - 311 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
VP, Head of Engineering Practice (AI): Defining engineering strategy and delivering scalable, cloud-native, API-first enterprise platforms with an accent on reusable frameworks, DevOps practices, and AI-driven solutions. Focus on leading large-scale engineering initiatives, integrating GenAI into development workflows, and building secure, high-performance applications with Java, Spring Boot, Angular, and Azure.
Location: Hybrid, three days per week in the Jersey City or Raleigh offices, United States; fully remote work is also available with frequent travel to Northeast offices
Salary: $200,000–$311,000 per year for Jersey City/NYC Metro; $155,000–$241,000 per year for Raleigh Metro
Company
promotes collaboration, expertise, innovation, and progress across its insurance and enterprise operations.
What you will do
- Define and execute engineering strategy for initiatives, shared services, policies, and standards.
- Lead engineering practice meetings, workgroups, and guilds across Engineering, Infrastructure, and Security.
- Drive the creation of reusable libraries, templates, frameworks, and reference implementations.
- Lead the design and development of scalable, secure, high-performance cloud-native and API-first applications.
- Drive adoption of DevOps, CI/CD, automated testing, observability, and modern full-stack engineering practices.
- Collaborate with product and business leaders on AI-driven solutions, mentor junior engineers, and promote knowledge sharing.
Requirements
- Principal Engineer or senior technology leadership experience with a strong hands-on full-stack background.
- 15+ years of software engineering experience, including at least 5 years in senior technology leadership.
- Experience leading large engineering teams and delivering complex enterprise solutions.
- Expertise in Java, Spring Boot, Angular, relational and non-relational databases, Microsoft Azure, microservices, Docker, Kubernetes, and event-driven architectures.
- Strong knowledge of cloud-native architectures, API-first design, software engineering practices, design patterns, and architectural principles.
- Excellent communication and leadership skills; a bachelor’s degree in Computer Science, Engineering, or a related field is required, with a master’s degree preferred.
Nice to have
- Insurance property and casualty domain experience.
- Experience building AI-driven applications and integrating machine learning models into production systems.
Culture & Benefits
- Collaborative environment focused on expertise, innovation, and continuous improvement.
- Medical, dental, vision, and prescription drug coverage.
- 401(k) plan with employer matching, paid time off starting at 20 days, and paid company holidays.
- Volunteer time, parental leave, life and disability insurance, student loan assistance, and tuition reimbursement.
- Backup child and elder care support.
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