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

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

Lead AI Engineer

Key skills