AI Solutions Engineer — Remote & Data-Driven Decisioning

Experian; United States; Hybrid; USD 101,000 - 174,000; Full time

Benefits offered by this job

Great compensation package

Medical, dental, vision, and 401K

Remote, hybrid or in-office

Flexible time off

Benefits portal

Job summary

Experian is seeking a Solutions Engineer who combines technical depth with client engagement to drive adoption of the Bureau Composer platform. You will lead the end-to-end solution lifecycle, translating client requirements into production-ready AI-enabled architectures using LLMs, cloud-native technologies, APIs, and scalable data systems.

You will collaborate with sales, product, and clients to design and deliver AI-powered, data-driven solutions across credit, fraud, and identity use cases,

Qualifications

• Bachelor's degree in computer science, information systems, or related field.
• 5+ years of experience in Solutions Engineering, AI Solutions, or Systems Architecture (client-facing).
• Demonstrated AI literacy with practical application (LLMs, automation workflows, enterprise AI use cases).
• Experience translating requirements into scalable, production-ready solutions.
• Working knowledge of security practices (IAM, data protection, compliance frameworks).
• Experience in credit, fraud, identity, or risk analytics domains.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Proficiency in Python or SQL; prior pre-sales or solution consulting experience.

Responsibilities

• Lead AI-driven discovery and requirements sessions to identify opportunities for intelligent decisioning, automation, and optimization.

Skills

AI literacy

Client engagement

Solution architecture

Cloud experience

Security best practices

Education

Bachelor's degree in CS or related field

Tools

AWS

Python

SQL

APIs

Job description

Experian is seeking a Solutions Engineer who combines technical depth with client engagement to drive adoption of the Bureau Composer platform. You will lead the end-to-end solution lifecycle, translating client requirements into production-ready AI-enabled architectures using LLMs, cloud-native technologies, APIs, and scalable data systems.

You will collaborate with sales, product, and clients to design and deliver AI-powered, data-driven solutions across credit, fraud, and identity use cases,