Director, AI - Process Engineering

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Job Title

Director, AI - Process Engineering

About your role:

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.

What you’ll do:

• 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.
• Responsibilities listed are not intended to be all-inclusive and may be modified as necessary.

Experience you’ll need to have:

• 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 combi…