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.
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. 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.
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)
Bachelor'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 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
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. We list the base pay range for this position above. Within this range, work location and additional factors such as job-related skills, experience, and education determine individual pay. You will be also eligible for a variable pay opportunity and a comprehensive benefits package.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Benefits/Perks
Great compensation package and bonus plan
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
Explore all our exciting benefits here:
https://yourexperianbenefits.com/cand-index.html
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