American Express
Sr Software Engineer II - Financial Crimes Technology
Charlotte, NC · Hybrid · Senior · Full-time · Posted Oct 22, 2026
- Experience
- 8+ years of software engineering or enterprise application development, including significant hands-on experience with NICE Actimize SAM.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
- Visa sponsorship
- Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship for these positions.
About the job
Designs, develops, and supports NICE Actimize SAM capabilities for enterprise AML transaction monitoring, regulatory compliance, and platform reliability.
What you'll do
- Build and maintain SAM detection scenarios, rules, data pipelines, integrations, and supporting application components.
- Optimize platform performance and reliability; troubleshoot production issues and support upgrades and modernization.
- Collaborate across engineering, product, risk, and compliance teams, and mentor engineers.
What they ask for
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
- 8+ years of software engineering or enterprise application development, including significant hands-on NICE Actimize SAM experience.
- Hands-on Actimize SAM development, configuration, customization, implementation, and production support; experience with AIS and SAM data processing.
- Proficiency in SQL and Java, Python, or other relevant technologies; experience with relational databases, ETL, and large-scale data integration.
Nice to have
- Experience with Actimize SAM upgrades, migrations, and performance optimization.
- Exposure to AI/ML-enabled AML monitoring, advanced analytics, or cloud technologies such as Google Cloud Platform (GCP).
Pay
$123000 - $215250 annually (base salary)
Tools
NICE Actimize SAM, Actimize Intelligence Server (AIS), SQL, Java, Python, Oracle, Microsoft SQL Server, PostgreSQL
AI focus
The team is building AI-enabled financial crime and risk capabilities; the role supports AI readiness initiatives and may involve exposure to AI/ML-enabled AML monitoring and advanced analytics.
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