AI - Process Engineering - Advisor II

Fiserv•Columbus, OH

2d•$109,000 - $182,400•Onsite

About The Position

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.

Requirements

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.
Must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.

Nice To Haves

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.
Google Cloud certifications such as Professional Machine Learning Engineer or Professional Cloud Architect, or equivalent cloud certifications.
Familiarity with OWASP LLM Top 10, MITRE ATT&CK, MITRE ATLAS, and the National Institute of Standards and Technology (NIST) Artificial Intelligence Risk Management Framework.

Responsibilities

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.

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 and discounted shares with the Employee Stock Purchase Plan
Tuition assistance and reimbursement program
Paid parental, caregiver, and military leave