Solution Engineer

Experian

23h • Hybrid

About The Position

Experian is looking for a Solutions Engineer who combines technical depth with client engagement expertise to increase adoption of the Bureau Composer (BC) data and decisioning orchestration platform. This is an AI-first, client-facing role at the intersection of solution architecture, AI-driven decisioning, and revenue enablement. Reporting to the Senior Director, Solutions Design, you will partner with clients and sales and other teams to design and deliver AI-powered, data-driven solutions across credit, fraud, and identity use cases. You will lead the end-to-end solution lifecycle, translating client requirements into production-ready AI-enabled architectures that utilize LLMs, cloud-native platforms (AWS), APIs, and scalable data systems.

Requirements

• AI / ML (Primary Focus): Hands-on experience applying LLMs or ML models in real-world / production use cases, Built or implemented AI-driven workflows, automation, or decisioning solutions, Experience integrating AI into APIs, applications, or enterprise systems, Prompt engineering, RAG architectures, or LLM orchestration frameworks, Design AI-enabled business solutions (beyond POCs), Apply AI to decisioning, analytics, or customer workflows
• Architecture & Cloud Experience: designing API-first, microservices-based architectures, Experience with AWS Lambda, API Gateway, Step Functions, S3, Real-time and event-driven systems, Data integration and distributed system design
• Data & Integration: SQL and data analysis for validation and troubleshooting, Experience with data pipelines, ETL, and data integration patterns, BI and reporting tools (Tableau, Power BI, Looker) with business insight delivery
• Domain & Industry Knowledge: Credit risk decisioning (originations, underwriting, line management), Fraud and identity decisioning systems, Bureau data (credit attributes, tradelines, scores), Decision strategies (rules and model-driven decisioning)
• Bachelor's degree in computer science, Information Systems, or related field (or equivalent experience)
• 3+ 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 our requirements into scalable, production-ready solutions
• Simplify complex concepts
• 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/GCP)
• Experience with Python or SQL
• Experience supporting pre-sales or solution consulting engagements

Responsibilities

• Lead AI-driven discovery and requirements sessions to identify opportunities for intelligent decisioning, automation, and optimization
• Translate client needs into end-to-end AI-enabled solutions using: LLMs and AI workflows, APIs, microservices, and cloud-native architectures
• Design and deliver scalable implementations on Bureau Composer, including: Real-time decisioning workflows, Standard and custom solutions
• Conduct technical presentations, demos, and AI solution workshops for both executive and technical audiences
• Guide production deployment, integration, and troubleshooting of AI-powered solutions
• Partner with Sales and Product to identify expansion opportunities and increase incremental revenue
• Ensure agreement on security, compliance, and data governance frameworks (FCRA, FACTA, IAM, and data protection)
• Build reusable AI solution patterns, accelerators, and strategies

Benefits

• Great compensation package and bonus
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior