Lead AI Transformation Engineer

Fiserv•Berkeley Heights, NJ

3d•$186,000 - $285,600•Onsite

About The Position

As a Lead AI Transformation Engineer, you will play a critical role in advancing AI-driven engineering practices and establishing technical excellence across the Issuer Solutions portfolio. You will work closely with software development and mainframe teams across the organization to drive the adoption of AI-assisted development tools and deliver solutions that align with the business goals and client needs.

Requirements

10+ years of professional software engineering experience, with at least 5 years operating at a staff, principal, or architect level of influence across multiple teams
8+ years of hands-on experience across mainframe and distributed technologies, including Assembler, COBOL, and Java-based enterprise applications, with the ability to bridge legacy and modern architectures
8+ years of experience with CI/CD pipelines, DevOps, and AppOps practices, including production support, monitoring, incident management, and operational excellence
8+ years of experience with cloud-native and containerized environments (OpenShift, AWS/Azure/GCP), with exposure to hybrid mainframe-cloud ecosystems
8+ years of experience with modern databases (SQL, No-SQL) and mainframe data stores where applicable
5+ years of experience in modernizing and integrating mainframe systems with distributed platforms (microservices, APIs, event-driven architectures)
3+ years of experience adopting and championing AI-assisted development tools to improve engineering outcomes at scale
Bachelor’s degree in computer science, or a relevant field, or an equivalent combination of education, work, and/or military experience

Nice To Haves

Excellent written and verbal communication skills — able to produce clear technical documentation, present to senior leadership, and mentor engineers across platforms and domains
Proven track record of driving end-to-end ownership from development through production operations, ensuring reliability, scalability, and performance
Solid understanding of application security practices across both mainframe and distributed platforms (encryption, access control, secrets management, vulnerability remediation)
Strong experience in AppOps, including performance tuning, resiliency engineering, batch processing, and production stability for mission-critical systems
Prior experience in the financial services industry

Responsibilities

Set and evolve engineering standards (code quality, architecture patterns, CI/CD practices, security posture) across the Issuer Solutions portfolio
Conduct solution architecture reviews, code reviews, and design consultations that raise the quality bar for teams building in Java/Spring, .NET, Angular, Python, and related technologies
Define reusable patterns, reference implementations, and decision frameworks that teams can adopt independently
Bridge the gap between corporate platform teams (AI CoE, Cloud Engineering, Security) and delivery teams by translating enterprise mandates into actionable delivery
Champion the adoption and integration of AI-assisted engineering workflows demonstrating measurable impact on quality and throughput
Evaluate, pilot, and operationalize AI developer tools across the organization, coaching teams to integrate them into their daily workflows
Identify systemic quality issues across the portfolio and propose durable, root-cause solutions by building internal tools and contribute to critical-path code when the situation demands it
Deliver technical training and enablement sessions on AI adoption emerging AI-assisted practices while mentoring senior engineers toward deeper architectural thinking, production ownership, AI fluency, and cross-team influence