AI - Cyber Security Engineer - II

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 - Cyber Security Engineer - II

About your role:

As an Advisor II, AI - Software Engineering, you will design, build, and deploy AI-powered cybersecurity solutions that strengthen identity security, automate security operations, and improve cyber defense outcomes. You will work closely with cybersecurity, cloud, data, and application engineering teams to deliver scalable solutions on Google Cloud that support enterprise security priorities and advance AI-enabled security capabilities across Fiserv.

What you’ll do:

• Design, develop, and deploy artificial intelligence and machine learning solutions that support threat detection, anomaly identification, identity risk analysis, security automation, and incident response workflows.
• Build cloud-native services, application programming interfaces, data pipelines, and reusable frameworks on Google Cloud to support artificial intelligence model training, inference, and real-time security intelligence.
• Integrate artificial intelligence capabilities with Identity and Access Management (IAM), Privileged Access Management (PAM), secrets management, security information and event management (SIEM), security orchestration, automation, and response (SOAR), and enterprise security telemetry sources.
• Implement machine learning operations (MLOps) practices including deployment automation, monitoring, observability, performance evaluation, and lifecycle management for artificial intelligence models and agent-based services.
• Apply secure software development practices, Zero Trust principles, and responsible artificial intelligence controls to address prompt injection, adversarial artificial intelligence threats, data leakage risks, and unauthorized access.
• Partner with cybersecurity, cloud engineering, data engineering, and application development teams to translate technical and business requirements into scalable engineering solutions.
• Contribute to architecture decisions, engineering standards, and operational improvements that support enterprise artificial intelligence cybersecurity platforms.
• Responsibilities listed are not intended to be all-inclusive and may be modified as necessary.

Experience you’ll need to have:

• 8+ years of experience in software engineering building enterprise applications and services using Python and modern software development practices.
• 8+ years of experience designing, building, and deploying solutions on Google Cloud or a comparable cloud platform in an enterprise environment.
• 6+ years of experience developing machine learning, deep learning, and generative artificial intelligence solutions using large language models (LLMs), retrieval-augmented generation (RAG), embeddings, and vector databases.
• 6+ years of experience building distributed systems and microservices using Kubernetes, Docker, CI/CD pipelines, machine learning operations (MLOps) frameworks, and application programming interfaces (APIs).
• 8+ years of experience working with cybersecurity domains including Identity and Access Management (IAM), Privileged Access Management (PAM), Identity Governance Administration (IGA), secrets management, and Zero Trust architecture.
• 6+ years of experience with security information and event management (SIEM), security orchestration, automation, and response (SOAR), security operations workflows, and security automation technologies.
• Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, Cybersecurity, Information Security, Data Science, or a related field, or equivalent combination of education, related experience and/or military experience.

Experience that would be great to have:

• Experience building artificial intelligence agents and automation frameworks for enterprise security use cases.
• Experience implementing artificial intelligence-powered cybersecurity solutions in financial services, payments, fintech, banking, or another regulated industry. …