Director, AI - Cyber Security I

Fiserv

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Alpharetta, GABerkeley Heights, NJColumbus, OH
Salary
$127,500–$204,000 / yr
Posted
5 days ago
Freshness
Confirmed live 2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $234k
This role $166k
$109k most similar roles pay here $304k

This role pays less than 88% of similar roles. Most pay $190,940–$276,245 — the shaded band above. At the midpoint, this role pays about $166k versus about $234k 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.

Most-posted roles

View all roles at Fiserv

At a glance

TL;DR · Director, AI - Cyber Security I

Role Posting Log in to save

Director, AI - Cyber Security I serves as a Senior Advisor, Software Engineering, focused on designing and scaling AI-driven cybersecurity platforms to strengthen enterprise defense capabilities. The role involves developing capabilities for threat detection, anomaly identification, identity risk analysis, and security operations automation. You will architect multi-agent and agentic AI frameworks utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, and vector search. Key technologies include Python, Google Cloud Platform tools like Vertex AI, Gemini, BigQuery, Pub/Sub, Dataflow, Cloud Run, Cloud Functions, and Google Kubernetes Engine. You will integrate these with IAM, PAM, SIEM, and SOAR platforms while establishing MLOps practices and Infrastructure as Code. The work addresses the critical challenge of building secure, production-grade AI systems to enhance cyber resilience against threats like prompt injection and adversarial machine learning in a complex enterprise environment.

Skills

Python Google Cloud Platform Vertex AI Gemini BigQuery Pub/Sub Dataflow Cloud Run Cloud Functions Google Kubernetes Engine Docker Kubernetes RAG Vector Databases CI/CD MLOps Infrastructure as Code SIEM SOAR IAM PAM Zero Trust

What you'll do

  • Design and deploy AI-powered capabilities for threat detection, anomaly identification, and security operations automation.
  • Architect multi-agent and agentic AI frameworks using LLMs, RAG, and vector search systems.
  • Build scalable, cloud-native AI security platforms on Google Cloud using Vertex AI and GKE.
  • Integrate AI capabilities with enterprise security tools like IAM, SIEM, and SOAR platforms.
  • Establish engineering standards for MLOps, including model training pipelines, drift detection, and CI/CD.
  • Implement "Secure-by-Design" principles to protect AI models from prompt injection and adversarial attacks.
  • Translate business requirements into technical specifications for scalable AI solutions across the organization.

What we're looking for

  • Bachelor’s degree or higher in Engineering, Computer Science, AI, Cybersecurity, Data Science, or a related field.
  • 10+ years of experience in software engineering using Python and modern development practices for enterprise-scale platforms.
  • 10+ years of experience designing and operating cloud-native solutions on Google Cloud Platform or equivalent environments.
  • 10+ years of experience in machine learning, Generative AI, LLMs, RAG, and vector databases.
  • 10+ years of experience with Kubernetes, Docker, CI/CD, MLOps, AIOps, and Infrastructure as Code.
  • 10+ years of experience in cybersecurity engineering including IAM, PAM, Zero Trust, and cloud security.
  • 10+ years of experience with SIEM, SOAR, threat detection, and security operations center technologies.
  • Must possess valid and unrestricted U.S. work authorization.

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