Director, AI - Process Engineering

Fiserv•Alpharetta, GA

18h•Onsite

About The Position

As a Senior Advisor, Software Engineering, you will design and scale AI-driven cybersecurity platforms that strengthen enterprise defense capabilities across Fiserv. You will work across cybersecurity, cloud engineering, data engineering, application development, and enterprise architecture teams to deliver secure, production-grade solutions on Google Cloud. Your work will help improve threat detection, automate security operations, and advance AI-enabled cyber resilience across the organization.

Requirements

10+ years of experience in software engineering, building enterprise-scale applications and platforms using Python and modern software development practices.
10+ years of experience designing and operating cloud-native solutions on Google Cloud Platform (GCP) or an equivalent cloud environment.
10+ years of experience in machine learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector databases, APIs, microservices, and distributed systems.
10+ years of experience with Kubernetes, Docker, CI/CD platforms, MLOps, AIOps, and Infrastructure as Code in production environments.
10+ years of experience in cybersecurity engineering across Identity and Access Management (IAM), Privileged Access Management (PAM), Identity Governance Administration (IGA), secrets management, Zero Trust architecture, and cloud security.
10+ years of experience with Security Information and Event Management (SIEM), Security Orchestration, Automation and Response (SOAR), threat detection and response, Security Operations Center (SOC) technologies, and security automation platforms.
Bachelor’s degree or higher in Engineering, Computer Science, Artificial Intelligence, Cybersecurity, Information Security, Data Science, or a related field, or equivalent combination of education, related experience and/or military experience.

Nice To Haves

Master’s degree or Ph.D. in Engineering, Computer Science, Artificial Intelligence, Cybersecurity, Information Security, Data Science, or a related field, or equivalent combination of education, related experience and/or military experience.
Experience designing and deploying AI agents and autonomous security systems in enterprise environments.
Experience in financial services, fintech, payments, banking, or another highly regulated industry.
Google Cloud certifications such as Professional Machine Learning Engineer or Professional Cloud Architect, or equivalent certification experience.

Responsibilities

Design, develop, and deploy AI-powered cybersecurity capabilities for threat detection, anomaly identification, identity and access risk analysis, security operations automation, incident response orchestration, and cyber threat intelligence.
Architect and implement multi-agent and agentic AI frameworks that support enterprise cybersecurity use cases, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector search, and knowledge retrieval systems.
Lead the engineering and delivery of scalable, cloud-native AI security platforms on Google Cloud using tools such as Vertex AI, Gemini, BigQuery, Pub/Sub, Dataflow, Cloud Run, Cloud Functions, and Google Kubernetes Engine (GKE).
Integrate AI capabilities with enterprise cybersecurity platforms and services, including Identity and Access Management (IAM), Privileged Access Management (PAM), secrets management, Security Information and Event Management (SIEM), Security Orchestration, Automation and Response (SOAR), Governance, Risk, and Compliance (GRC), and security telemetry platforms.
Establish engineering standards and lifecycle practices for AI platforms, including model training pipelines, automated deployment, monitoring, evaluation, drift detection, Infrastructure as Code, and continuous integration and continuous deployment (CI/CD) for machine learning workloads.
Embed security, privacy, compliance, and responsible AI practices into platform design by applying Zero Trust principles, Secure-by-Design methods, and controls 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, while influencing architecture, technical direction, and enterprise adoption of modern AI engineering practices.

Benefits

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 including 401k match and discounted shares with the Employee Stock Purchase Plan.
Tuition assistance and reimbursement program.
Paid parental and military leave.