Asks for

The ad says“4+ years of experience applying machine learning methods (such as classification, clustering, anomaly detection, or time series) and model evaluation techniques to real-world problems.”
The ad says“4+ years of experience applying machine learning methods (such as classification, clustering, anomaly detection, or time series) and model evaluation techniques to real-world problems.”
The ad says“4+ years of experience applying machine learning methods (such as classification, clustering, anomaly detection, or time series) and model evaluation techniques to real-world problems.”
The ad says“4+ years of experience with SQL and one or more big data or cloud analytics platforms (for example, Hadoop, Spark, Databricks, or cloud-native services) to process large-scale security or operational datasets.”
The ad says“4+ years of experience with SQL and one or more big data or cloud analytics platforms (for example, Hadoop, Spark, Databricks, or cloud-native services) to process large-scale security or operational datasets.”
The ad says“6+ years of experience in data science or machine learning using programming languages such as Python or R to build and deploy models in production environments, preferably in cybersecurity, fraud, or risk domains.”
The ad says“6+ years of experience in data science or machine learning using programming languages such as Python or R to build and deploy models in production environments, preferably in cybersecurity, fraud, or risk domains.”
The ad says“6+ years of experience in data science or machine learning using programming languages such as Python or R to build and deploy models in production environments, preferably in cybersecurity, fraud, or risk domains.”
The ad says“4+ years of experience with SQL and one or more big data or cloud analytics platforms (for example, Hadoop, Spark, Databricks, or cloud-native services) to process large-scale security or operational datasets.”
The ad says“4+ years of experience with SQL and one or more big data or cloud analytics platforms (for example, Hadoop, Spark, Databricks, or cloud-native services) to process large-scale security or operational datasets.”
The ad says“4+ years of experience applying machine learning methods (such as classification, clustering, anomaly detection, or time series) and model evaluation techniques to real-world problems.”

Calling all innovators - find your future at Fiserv.

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

AI Engineer

About your role:

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat analysts, and infrastructure teams to transform large-scale security telemetry into actionable insights that protect client data and critical systems. You will help us continuously strengthen our security posture and inform risk-based decisions across the organization.

What you'll do:

Design, build, and deploy machine learning and statistical models for threat detection, anomaly detection, fraud identification, and risk scoring using security event and telemetry data.
Engineer robust security data pipelines, including data ingestion, cleansing, feature engineering, and model monitoring, using structured and unstructured cyber data sources (e.g., logs, alerts, network flows, endpoint data).
Analyze outputs from security tools and platforms to identify control gaps, policy deviations, and emerging threat patterns, and translate findings into prioritized remediation recommendations.
Partner with cybersecurity engineering, Security Operations Center (SOC), and infrastructure teams to embed AI and advanced analytics into security controls, playbooks, and incident response workflows.
Conduct model performance evaluations, bias and drift analysis, and continuous tuning to improve detection efficacy while minimizing false positives.
Develop clear, consumable visualizations and storytelling artifacts that communicate complex analytic findings and risk scenarios to technical and non-technical stakeholders.
Create and maintain documentation for data sources, model architectures, assumptions, validation approaches, and deployment processes in line with internal governance standards.

Experience you'll need to have:

6+ years of experience in data science or machine learning using programming languages such as Python or R to build and deploy models in production environments, preferably in cybersecurity, fraud, or risk domains.
4+ years of experience working with security-relevant datasets and tools (for example, Security Information and Event Management platforms, endpoint protection, identity and access data, or network telemetry) in an enterprise environment.
4+ years of experience with SQL and one or more big data or cloud analytics platforms (for example, Hadoop, Spark, Databricks, or cloud-native services) to process large-scale security or operational datasets.
4+ years of experience applying machine learning methods (such as classification, clustering, anomaly detection, or time series) and model evaluation techniques to real-world problems.
Demonstrated experience translating ambiguous business and security problems into analytic questions, framing hypotheses, and delivering measurable outcomes based on data-driven insights.
Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Engineering, Cybersecurity, or a related quantitative field or equivalent combination of education, related experience and/or military experience.

Experience that would be great to have:

Experience applying AI or advanced analytics to cybersecurity use cases such as insider threat, identity and access risk, data loss prevention, or cloud security posture management.
Experience in the financial services or payments industry working with sensitive data and stringent regulatory or compliance requirements.
Experience with MLOps practices and tooling (for example, CI/CD for models, model registries, feature stores, or automated monitoring) in a regulated environment.
Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or a recognized data science or cloud certification, or equivalent combination of training and demonstrable experience.

How you'll work:

This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.

Sponsorship:

You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.

Benefits at Fiserv:

Fuel Your Life program to support your physical, financial, social, and emotional well-being.
Paid holidays and generous time away policies.
No-cost mental health support through Employee Assistance Programs.
Living Proof program to recognize your peers’ extra effort with points redeemable for rewards.
Eight Employee Resource Groups to foster a collaborative culture and expand your network.
Unparalleled professional growth with training, development, and internal mobility opportunities.
Medical, dental, vision, life, and disability insurance options available from day one.
Retirement planning and discounted shares with the Employee Stock Purchase Plan.
Tuition assistance and reimbursement program.
Paid parental, caregiver, and military leave.

#LI-MJ1

Salary Range

$109,000.00 - $182,400.00

These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company’s sole discretion.

Thank you for considering employment with Fiserv. Please:

Apply using your legal name
Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv’s Disability Accommodation Policy for additional information.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

Asks for

Values