Lead AI Engineer

FiservBerkeley Heights, NJ
$186,000 - $285,600Onsite

About The Position

As a Lead AI Engineer, you will play a critical role in advancing AI-driven engineering practices and establishing technical excellence across the Output Solutions portfolio. Working closely with engineering, product, cloud, and security teams, you will drive the adoption of AI-assisted development tools and deliver solutions that align with our business goals and client needs.

Requirements

  • 10+ years of software engineering experience with enterprise-scale application development and delivery
  • 8+ years of experience developing applications using Java, Spring Boot, microservices, REST APIs, and enterprise integration frameworks
  • 5+ years of experience in a Principal Engineer, Architect, Lead Engineer, or equivalent technical leadership level across multiple teams
  • 4+ years of experience building and maintaining CI/CD pipelines and DevOps practices using tools such as GitLab CI, Jenkins, and automated testing platforms
  • 4+ years of experience working with cloud-native and containerized technologies including OpenShift, Kubernetes, Docker, AWS, Azure, or Google Cloud Platform
  • 3+ years of experience building LLM-powered applications or agents in production with platforms such as Anthropic Claude, OpenAI, M365 Copilot, or equivalent enterprise agent platforms
  • 3+ years of experience implementing application security controls including OAuth2, JWT, TLS, secrets management, and vulnerability remediation practices
  • Bachelor’s degree in computer science, engineering, or a related field, or an equivalent combination of education, work, and/or military experience

Nice To Haves

  • Strong experience with relational and NoSQL database technologies
  • Experience leading architecture modernization initiatives involving microservices, cloud migration, or platform transformation efforts
  • Experience delivering technical training, coaching, or mentorship programs for engineering organizations
  • Prior experience supporting manufacturing, industrial automation, supply chain, or production technology environments

Responsibilities

  • Establish and evolve engineering standards, architecture patterns, CI/CD practices, and security frameworks across multiple application teams
  • Conduct architecture reviews, code reviews, and technical consultations supporting solutions built with Java, Spring Boot, .NET, Angular, Python, and related technologies
  • Define reusable reference architectures, engineering patterns, and decision frameworks that teams can independently adopt and scale
  • Champion AI-assisted engineering practices, evaluating and implementing AI developer tools that improve quality, productivity, and delivery velocity
  • Deliver technical workshops, mentoring programs, and enablement sessions focused on engineering excellence, AI adoption, and emerging technologies
  • Build custom agents, connectors, and extensions that deliver real-time impact for Output Solutions operations and client needs
  • Drive measurable improvements in software quality, operational reliability, defect reduction, and delivery performance through tooling, automation, and process enhancements
  • Mentor senior engineers, foster communities of practice, and promote architectural thinking, production ownership, and cross-team collaboration

Benefits

  • Annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards
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