Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job Description Experian is looking for an 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.
You will also partner with sales and other teams. Your partnerships will design and deliver AI-powered, data-driven solutions. These solutions will span across credit, fraud, and identity use cases. You will lead the end-to-end solution lifecycle. This lifecycle involves translating client requirements into production-ready AI-enabled architectures. These architectures use LLMs, cloud-native platforms (AWS), APIs, and scalable data systems.
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 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) Qualifications 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 Pyt