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14 дней назад

Sr Requirement Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr Requirement Engineer (AI): Designing and validating end-to-end production business systems for North American insurance operations with an accent on requirements engineering, system design, integrations, and operational stability. Focus on translating business needs into technical solutions, designing API and messaging integrations, diagnosing production issues, and validating AI-assisted engineering outputs.

Location: Mexico City, Mexico

Company

Global provider of reinsurance, insurance, and insurance-based risk transfer solutions, employing more than 15,000 people worldwide.

What you will do

  • Support strategic capability design and integration across the North American technology landscape.
  • Gather business requirements and translate them into scalable system designs and working implementations.
  • Define system components, interfaces, and data flows while breaking down complex problems into technical solutions.
  • Design and implement integrations using APIs, messaging systems, and synchronous or asynchronous patterns.
  • Support production stability through effective design, testing, rollout, and root-cause analysis of system issues.
  • Apply AI-assisted development tools and validate generated outputs for correctness, performance, and engineering standards.

Requirements

  • 5–10+ years of experience in technology requirements engineering, system design, or related roles.
  • Proven ability to design and deliver production systems end to end.
  • Solid understanding of APIs, data models, integration patterns, and distributed systems.
  • Experience across the full development lifecycle: design, build, deploy, and operate.
  • Strong technical communication, structured thinking, problem decomposition, and abstraction skills.

Nice to have

  • Exposure to AI-assisted development tools or an active interest in emerging engineering paradigms.
  • Experience developing, reviewing, and validating complex implementation requirements.

Culture & Benefits

  • Inclusive and flexible workplace focused on equal opportunities and professional development.
  • Environment encouraging fresh perspectives, innovative thinking, authenticity, and sustainability.
  • AI-powered tools may support application review, with final hiring decisions reviewed by people.

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