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Solution EngineerFull-timeEmployee Status: RegularRole Type: HybridJob Posting - Salary Range: $100,649 - $174,459Department: TechnologyFlexible Time Off: 20 DaysSchedule: Full TimeShift: Day Shift Compensation: USD 100649 - USD 174459 - yearlyCompany DescriptionExperian 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 DescriptionExperian 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. You will partner with clients, 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. 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.ResponsibilitiesLead AI-driven discovery and requirements sessions to identify opportunities for intelligent decisioning, automation, and optimizationTranslate client needs into end-to-end AI-enabled solutions using:LLMs and AI workflowsAPIs, microservices, and cloud-native architecturesDesign and deliver scalable implementations on Bureau Composer, including:Real-time decisioning workflowsStandard and custom solutionsConduct technical presentations, demos, and AI solution workshops for both executive and technical audiencesGuide production deployment, integration, and troubleshooting of AI-powered solutionsPartner with Sales and Product to identify expansion opportunities and increase incremental revenueEnsure agreement on security, compliance, and data governance frameworks (FCRA, FACTA, IAM, and data protection)Build reusable AI solution patterns, accelerators, and strategiesAI / ML (Primary Focus)Hands-on experience applying LLMs or ML models in real-world / production use casesBuilt or implemented AI-driven workflows, automation, or decisioning solutionsExperience integrating AI into APIs, applications, or enterprise systemsPrompt engineering, RAG architectures, or LLM orchestration frameworksDesign AI-enabled business solutions (beyond POCs)Apply AI to decisioning, analytics, or customer workflowsArchitecture & CloudExperience designing API-first, microservices-based architecturesExperience with AWSLambda, API Gateway, Step Functions, S3Real-time and event-driven systemsData integration and distributed system designData & IntegrationSQL and data analysis for validation and troubleshootingExperience with data pipelines, ETL, and data integration patternsBI and reporting tools (Tableau, Power BI, Looker) with business insight deliveryDomain & Industry KnowledgeCredit risk decisioning (originations, underwriting, line management)Fraud and identity decisioning systemsBureau data (credit attributes, tradelines, scores)Decision strategies (rules and model-driven decisioning)QualificationsBachelor's degree in computer science, Information Systems, or related field (or equivalent experience)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 our requirements into scalable, production-ready solutionsSimplify complex concepts Working knowledge of security practices (IAM, data protection, compliance...
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