1 день назад
Solution Engineer (AI)
100 649 - 174 459$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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