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Fiserv

B2B payments and banking technology

Director, AI - Cyber Security

AI Application EngineeringConfirmed live in the last 24 hours
Full-time$127.5k - $204k

About the Job

Requirements

  • At least 10 years of experience in software engineering, building enterprise-scale applications and platforms using Python and modern software development practices.
  • At least 10 years of experience designing and operating cloud-native solutions on Google Cloud Platform or a comparable major cloud provider.
  • Hands-on experience building or integrating generative AI and agentic AI systems, including large language models, retrieval-augmented generation pipelines, embeddings, vector databases, and orchestration frameworks.
  • Strong understanding of cybersecurity domains such as threat detection, identity and access management, SIEM/SOAR, and security operations, with the ability to translate them into AI-driven engineering solutions.
  • Experience with containerization and orchestration technologies such as Kubernetes and Docker, and modern CI/CD and MLOps practices.
  • Excellent communication skills and ability to influence technical direction and enterprise adoption across cross-functional technical and business stakeholders.
  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, or equivalent professional or military experience.

Responsibilities

  • Design, build, and ship AI-powered cybersecurity capabilities across threat detection, anomaly identification, identity and access risk analysis, security operations automation, incident response orchestration, and cyber threat intelligence.
  • Architect and stand up multi-agent and agentic AI frameworks for enterprise cybersecurity use cases, including large language models, retrieval-augmented generation, embeddings, vector search, and knowledge retrieval systems.
  • Lead engineering and delivery of scalable, cloud-native AI security platforms on Google Cloud using Vertex AI, Gemini, BigQuery, Pub/Sub, Dataflow, Cloud Run, Cloud Functions, and Google Kubernetes Engine.
  • Integrate AI capabilities into enterprise cybersecurity platforms and services, including Identity and Access Management, Privileged Access Management, secrets management, SIEM, SOAR, GRC, and security telemetry platforms.
  • Set engineering standards and lifecycle practices for AI platforms, including model training pipelines, automated deployment, monitoring, evaluation, drift detection, Infrastructure as Code, and CI/CD for machine-learning workloads.
  • Apply security, privacy, compliance, and responsible AI practices to platforms, including Zero Trust principles, Secure-by-Design methods, and defenses against prompt injection, adversarial machine-learning threats, data poisoning, model manipulation, and unauthorized access.
  • Partner with cross-functional technical and business teams to translate cybersecurity and business requirements into scalable AI solutions, shape architecture and technical direction, and promote enterprise-wide adoption of modern AI engineering practices.

Desired Qualifications

  • Experience in financial services or another highly regulated industry.
  • Familiarity with enterprise security platforms such as CrowdStrike, Splunk, or comparable SIEM/SOAR and GRC tools.
  • Background applying Zero Trust and Secure-by-Design principles to AI/ML platform architecture.
  • Relevant certifications, such as Google Cloud Professional certifications, CISSP, or AI/ML-specific credentials.
  • Experience mentoring engineers or leading cross-functional technical initiatives at scale.

About the Company

Fiserv

B2B payments and banking technology

Fiserv provides financial technology and services to banks, credit unions, merchants, and other financial firms, spanning payments, core banking, and digital networks. Its products work by licensing software, processing transactions, and delivering professional services that let clients manage accounts, merchant transactions, and digital payments through integrated systems. It stands apart as an end-to-end supplier that combines core banking, payments, merchant acquiring, and networks under one roof, enabling cross-sell opportunities and growth through acquisitions. Its goal is to help financial institutions and merchants run large-scale payments and banking operations more efficiently with a comprehensive, integrated technology stack.

Company size
10,001+
Company stage
IPO
Headquarters
Milwaukee, WI
Founded
1984

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