Solution Engineer

🕒 May 19

🇺🇸 United States – Remote

💵 $100.6k - $174.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• 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

🎯 Requirements

• 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 • 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

• Flexible Time Off: 20 Days • Health insurance • 401(k) matching • Flexible work environment, ability to work remote, hybrid or in-office • Volunteer time off • 12 paid holidays