Lead AI Solutions Engineer

About the role

This position follows the company software development lifecycle to design, code, configure, test, debug, and document system and application programs. The role involves preparing technical design specifications, reviewing functional requirements, and collaborating with development staff. The successful candidate will participate in architecture, design, and code reviews, and develop operational and system-level documentation.

Responsibilities

• Design scalable, secure, and resilient cloud applications with a strong understanding of distributed systems, APIs, and microservices.
• Design and implement automated CI/CD pipelines using platforms such as Azure DevOps, GitHub Actions, GitLab, or Jenkins.
• Leverage Generative AI tools to accelerate coding, testing, documentation, and solution development.
• Maintain end-to-end ownership of architected products and systems.
• Move between high-level architecture and hands-on implementation as needed.
• Ensure AI solutions are integrated within Epic for a seamless user experience.

Requirements

Experience: 10+ years of experience in a relevant field. Relies on extensive experience to plan and accomplish tasks. May lead multiple layers of resources.

Technical Skills: Deep experience designing and implementing cloud solutions, preferably with Microsoft Azure. Experience with AWS or GCP is also valuable. Strong experience with Infrastructure as Code (IaC) using technologies such as Bicep, Terraform, or ARM. Deep understanding of Git, branching strategies, pull requests, and collaborative development practices.