Solution Engineer

Remote from: USA
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Software Engineering
Employment type: Full Time,
Job posted: 18 Jun 2026
Apply before: 18 Jul 2026
Experience level: Senior
Views / Applies: 20 / 2

Experian unlocks the power of data to create opportunities for consumers, businesses and society.

Actively Hiring

AI Summary

Experian is seeking a Solutions Engineer to bridge technical expertise and client engagement, focusing on the Bureau Composer platform. The role involves designing scalable, data-driven solutions for financial institutions, leveraging AI, APIs, and cloud-native technologies. Responsibilities include leading discovery sessions, translating requirements into solution designs, and overseeing implementation lifecycles. The ideal candidate has 5+ years in client-facing technical roles, AI literacy, and experience with financial services compliance. This position offers an opportunity to influence revenue enablement and drive adoption of advanced decisioning solutions.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires a blend of deep technical skills (AI, APIs, microservices) and strong client management, making it challenging. However, experienced professionals in solutions engineering will find it manageable, hence a 4.

Salary Analysis

AI Insight The salary range for this role is not specified, but based on US market data for Solutions Engineers in fintech, the median is around $130,000. This is competitive given the technical and client-facing requirements. The compensation aligns with industry standards for experienced professionals.

Key Skills

Solutions Engineering APIs Microservices Cloud Architecture Artificial Intelligence Financial Services Client Engagement Data Integration Compliance AI-enabled Decisioning

Cover Letter Sample

Dear Hiring Manager,

I am writing to express my interest in the Solutions Engineer position at Experian. With a strong background in solution architecture and client engagement, I have successfully designed and deployed AI-enabled decisioning platforms for financial institutions. My experience includes leading discovery sessions, translating complex requirements into scalable API-driven solutions, and ensuring compliance with regulations like FCRA and FACTA.

I am particularly drawn to Experian's commitment to leveraging data and AI to unlock opportunities. In my previous role, I increased platform adoption by 30% through tailored demos and workshops. I am confident in my ability to drive revenue enablement and deliver innovative solutions for your clients.

Thank you for considering my application. I look forward to the opportunity to discuss how my skills align with your team's goals.

Sincerely,
[Your Name]

Possible Interview Questions

Describe a time you translated a client's complex business requirement into a technical solution design. What steps did you take?

I once worked with a bank that needed real-time fraud detection. I led discovery sessions to understand their data sources and decisioning needs. I designed a solution using microservices and an AI model on AWS, including APIs for transaction scoring. I coordinated with engineering and compliance to ensure FCRA alignment, and we delivered a solution that reduced false positives by 20%.

How do you approach explaining AI capabilities to non-technical stakeholders?

I focus on outcomes rather than algorithms. For example, I explain AI as a tool to automate decisions like loan approvals. I use analogies and visuals to simplify concepts. In a recent workshop, I demonstrated a LLM-based chatbot handling customer queries, highlighting improved response time. This helps executives understand value without technical jargon.

Tell me about a time you managed a solution implementation from start to finish. How did you handle challenges?

I led a deployment of a decisioning platform for a credit union. During integration, data quality issues arose. I worked with their team to establish a cleansing process and adjusted the API mapping. I also set up daily standups to track progress and communicated updates to stakeholders. The project was delivered on time, and the solution scaled to handle 10,000 transactions per day.

What experience do you have with security and compliance in financial services?

I have ensured solutions comply with FCRA, FACTA, and data protection laws. For example, I implemented IAM controls and audit trails for a fraud detection system. I also worked with legal to document data usage and obtain necessary certifications. This ensures clients meet regulatory requirements and reduces risk.

How do you stay updated on new technologies, especially in AI and cloud?

I regularly attend webinars and read industry blogs like AWS architecture center and OpenAI’s research. I also experiment with new tools in sandbox environments. Recently, I built a prototype using AWS SageMaker to automate model updates, which I later incorporated into a client proposal. Continuous learning helps me propose innovative solutions.

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 a Solutions Engineer who combines technical depth with client engagement skills to increase adoption of the Bureau Composer platform. This is a client-facing role at the intersection of solution architecture, AI-enabled decisioning, and revenue enablement.

You will partner directly with clients, sales, and our teams to design scalable, data-driven solutions. These solutions address complex challenges across credit, fraud, identity, and decisioning use cases, with relevance to financial institutions.

You will oversee the solution lifecycle for client engagements, translating requirements into production-ready solution designs that use APIs, microservices, cloud-native platforms, data integration patterns, and AI-enabled workflows. We ask that you have applied AI experience and the ability to position AI capabilities.

Responsibilities

Lead discovery and requirements sessions with clients to define goals, technical requirements, data needs, and solution scope
Translate client needs into end-to-end solution designs using APIs, microservices, cloud infrastructure, data integration patterns, and AI-enabled workflows
Design and deliver scalable implementations using the Bureau Composer platform, including real-time decisioning workflows and both standard and custom solutions
Lead our client-facing solution delivery lifecycle including implementation planning, technical design leadership, and coordination across engineering, QA, DevOps, compliance, and project teams
Conduct technical presentations, demos, and workshops tailored to executive, business, and technical audiences
Support deployment, integration, and troubleshooting to ensure successful production rollout and ongoing solution optimization
Partner with sales and product teams to identify expansion opportunities, support solution strategy, and increase incremental revenue
Ensure solutions align with security, compliance, and data governance requirements, including FCRA, FACTA, IAM, explainability, and data protection considerations
Build and improve reusable solution patterns, accelerators, and technical strategies to support scale and consistency across implementations

Qualifications

Bachelor’s degree in Computer Science, Information Systems, Business, or a related field (or equivalent experience)
5+ years of experience in Solutions Engineering, Solution Architecture, Technical Consulting, or a similar client-facing technical role
Demonstrated AI literacy with practical experience applying AI concepts, automation workflows, or enterprise AI use cases in business solutions
Discuss and position AI-enabled capabilities, including LLM-based workflows or intelligent automation, without needing to code or build models directly
Client interface experience, including leading discovery sessions, presenting technical solutions, and influencing executive and non-technical partners
Experience designing or supporting API-first, microservices-based, and cloud-enabled solution architectures
Working knowledge of security, data governance, and regulatory requirements including IAM, data protection
Experience working with financial institutions or in financial services environments where decisioning, risk, fraud, identity, or compliance considerations are important

Extras

Experience in credit, fraud, identity, decisioning, risk analytics, or related financial services domains
Experience with AWS or other cloud platforms and modern data architecture concepts
Working knowledge of SQL, data analysis, BI/reporting tools, or troubleshooting techniques used to validate solution performance
Experience supporting pre-sales, solution consulting, or post-sales implementation engagements
Experience working with product, engineering, compliance, and go-to-market teams
Working knowledge of FCRA, and FACTA regulatory requirements

Additional Information

Our uniqueness is that we celebrate yours. Experian’s culture is people-first, inclusive, and purpose-driven. It is also multi-award-winning, including World’s Best Workplaces™ 2025 (Fortune Global Top 25) and 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 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

#LI-Hybrid

Apply now >