This role pays less than
78%
of similar roles. Most pay
$149,462–$214,931
— the shaded band above.
At the midpoint, this role pays about
$146k
versus about
$182k
for comparable roles.
Based on 240 similar postings.
Employer
About Fiserv
Fiserv is a global leader in financial services technology, providing core banking platforms, payment processing, digital banking, and merchant acquiring solutions to financial institutions and businesses. Industry: Financial Technology & Payments
Fiserv currently has
87 open roles
on FindRole.
Listed pay typically runs
$115,000–$192,000
across 56 roles with salary data.
AI Engineer
As an AI Engineer, you will join the cybersecurity team to apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will be responsible for designing, building, and deploying models for threat detection, anomaly detection, fraud identification, and risk scoring using security event and telemetry data. Your daily work involves engineering robust data pipelines for ingestion and feature engineering, analyzing tool outputs to identify control gaps, and collaborating with infrastructure teams to embed analytics into incident response workflows. You will utilize Python, R, SQL, and big data platforms like Hadoop, Spark, or Databricks to process large-scale datasets. The role focuses on solving critical security problems by transforming complex telemetry into actionable insights to protect client data and maintain a strong security posture within the financial services and payments domain.
What does a AI Engineer earn?
Median $211200 from 132 postings across 36 companies.
Design, build, and deploy machine learning models for threat detection, fraud identification, and risk scoring.
Engineer robust security data pipelines for ingesting, cleansing, and performing feature engineering on cyber data.
Analyze security tool outputs to identify control gaps and provide prioritized remediation recommendations.
Integrate AI and advanced analytics into security controls, playbooks, and incident response workflows.
Perform model performance evaluations, including bias and drift analysis, to improve detection accuracy.
Create visualizations and storytelling artifacts to communicate complex risk findings to various stakeholders.
Maintain technical documentation for data sources, model architectures, and deployment processes.
What we're looking for
Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Engineering, Cybersecurity, or a related quantitative field.
6+ years of experience in data science or machine learning using Python or R to build and deploy models in production environments.
4+ years of experience working with security-relevant datasets and tools like SIEM platforms, endpoint protection, or network telemetry.
4+ years of experience with SQL and big data or cloud analytics platforms such as Hadoop, Spark, Databricks, or cloud-native services.
4+ years of experience applying machine learning methods including classification, clustering, anomaly detection, and time series to real-world problems.
Experience in the financial services or payments industry working with sensitive data and regulatory requirements is preferred.
Professional certifications such as CISSP, CCSP, or recognized data science/cloud certifications are preferred.
Must possess valid and unrestricted U.S. work authorization.