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1 день назад

Solution Engineer (AI)

100 649 - 174 459$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Solution Engineer (AI): Designing and delivering production-ready AI-enabled decisioning solutions for Experian’s Bureau Composer platform with an accent on LLMs, AWS cloud-native architectures, APIs, and scalable data systems. Focus on translating client requirements into real-time workflows, integrating AI with enterprise systems, and solving complex credit, fraud, and identity decisioning challenges.

Location: United States; hybrid work arrangement

Salary: $100,649–$174,459 base pay range, plus variable pay opportunity

Company

hirify.global is a global data and technology company providing data, analytics, and decisioning solutions across financial services, healthcare, automotive, insurance, and other industries.

What you will do

  • Lead AI-driven discovery and requirements sessions for intelligent decisioning, automation, and optimization opportunities.
  • Translate client needs into production-ready AI solutions using LLMs, AI workflows, APIs, microservices, and cloud-native architectures.
  • Design and deliver scalable Bureau Composer implementations, including real-time decisioning workflows and custom solutions.
  • Conduct technical presentations, demonstrations, and AI solution workshops for executive and technical audiences.
  • Guide production deployment, integration, troubleshooting, security, compliance, and data governance activities.
  • Partner with Sales and Product to identify expansion opportunities and build reusable AI solution patterns and accelerators.

Requirements

  • Bachelor’s degree in computer science, information systems, or a related field, or equivalent experience.
  • 5+ years of experience in Solutions Engineering, AI Solutions, or client-facing Systems Architecture.
  • Practical experience applying LLMs or ML models, AI-driven workflows, automation, or enterprise AI use cases in production.
  • Experience designing API-first, microservices-based, real-time, event-driven, and distributed systems on AWS or another cloud platform.
  • Experience with Python or SQL, data pipelines, ETL, data integration, and BI tools such as Tableau, Power BI, or Looker.
  • Knowledge of credit risk, fraud, identity, or risk analytics, plus security practices including IAM, data protection, FCRA, and FACTA.

Culture & Benefits

  • Flexible work environment with remote, hybrid, and in-office options within the role’s United States location framework.
  • Medical, dental, and vision benefits with a matching 401(k).
  • Flexible time off, including volunteer time off, vacation, sick leave, and 12 paid holidays.
  • Compensation package with a bonus plan and variable pay opportunity.
  • Inclusive, purpose-driven culture and opportunities to work with advanced data and technology.

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