Lead AI Transformation Engineer

Fiserv

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Omaha, NE
Posted
4 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $189k
$126k most similar roles pay here $236k

This listing doesn't post a salary. Most similar roles pay $156,415–$222,437.

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 94 open roles on FindRole.

Listed pay typically runs $127,500–$204,000 across 65 roles with salary data.

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At a glance

TL;DR · Lead AI Transformation Engineer

Lead AI Transformation Engineer The Lead AI Transformation Engineer joins the Issuer Solutions team to advance AI-driven engineering practices and establish technical excellence across the portfolio. This role involves setting engineering standards for code quality, architecture patterns, and CI/CD practices while conducting solution architecture reviews and design consultations. The individual will bridge the gap between corporate platform teams and delivery teams by championing AI-assisted development workflows, evaluating developer tools, and providing technical training to engineers. Key responsibilities include building internal tools to solve systemic quality issues and mentoring staff on architectural thinking. The role requires expertise in Java, Spring, .NET, Angular, Python, Assembler, COBOL, SQL, No-SQL, and OpenShift. The work focuses on modernizing and integrating mainframe systems with distributed platforms like microservices and APIs within a complex hybrid mainframe-cloud ecosystem to improve engineering outcomes at scale.

What you'll do

  • Establish engineering standards for code quality, architecture patterns, and CI/CD practices across the Issuer Solutions portfolio.
  • Conduct solution architecture reviews and code reviews for Java, .NET, Angular, and Python technologies.
  • Define reusable patterns, reference implementations, and decision frameworks for independent team adoption.
  • Translate corporate platform mandates into actionable delivery plans for development teams.
  • Evaluate, pilot, and operationalize AI-assisted engineering tools to improve quality and throughput.
  • Identify systemic quality issues and build internal tools or contribute to critical-path code as needed.
  • Deliver technical training and mentoring on AI adoption and advanced architectural thinking.

What we're looking for

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

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