Senior AI Engineer - AI & Credit Analytics
Experian - Remote | ,, ,, United States
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior AI Engineer - AI & Credit Analytics Remote | ,, ,, United States 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: This position is in our Financial Services and Data group, and works heavily in credit analytics. You will report to the Senior Director of Data Modelling. This is a remote position. You will build scalable, production-grade AI systems that automate and enhance credit analytics and credit decisioning workflows . Develop and integrate AI solutions across the credit lifecycle , including origination, underwriting, limit setting, portfolio monitoring, and model validation . You will develop evaluation and guardrail frameworks to ensure response accuracy, reduce hallucinations, and support human-in-the-loop review , including offline testing with ground‑truth datasets. You will develop and operate enterprise-grade AI services with a focus on scalability, security, reliability, performance, and latency optimization . You will implement LLMOps and GenAI operational practices , including prompt management, model versioning, monitoring, CI/CD pipelines, and observability for cost, latency, and response quality. You will partner with analytics, engineering, and product teams to embed AI into existing platforms and deliver new AI‑driven capabilities across the organization. You will evaluate and adopt modern orchestration frameworks and cloud-native
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