Summary
Experian is a global data and technology company that powers opportunities for people and businesses through advanced data and technology. The company is seeking a Solutions Engineer to increase adoption of its Bureau Composer data and decisioning orchestration platform by designing and delivering AI-powered solutions across credit, fraud, and identity use cases. The role leads the end-to-end solution lifecycle, partnering with clients, sales, and product teams on AI-enabled architectures, integrations, deployments, and revenue expansion.
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
Skills
- * 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
Qualifications
Must Haves
- * 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
Benefits
- Variable pay opportunity
- Bonus
- Medical benefits
- Dental benefits
- Vision benefits
- 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